KR102274046B1 - Safe driving guide system using smartphone mounting device for vehicle - Google Patents

Abstract

An embodiment of the present invention includes a cradle for mounting a smartphone in a vehicle, and the cradle includes a light emitting module for issuing an alarm in one or more colors, and an audio module for issuing a warning as at least one of a voice message and a warning sound. And, when the carbon dioxide concentration detected by the carbon dioxide sensor that detects the indoor carbon dioxide concentration and the carbon dioxide detection sensor exceeds the set reference value, a ventilation induction that induces and guides ventilation of the indoor air as any one of a light emitting signal, a voice message, and a warning sound It is possible to provide a safe driving guide system using a smart phone holder for a vehicle capable of a safe driving guide including a control unit.

Description

Safe driving guide system using smartphone holder for automobiles {SAFE DRIVING GUIDE SYSTEM USING SMARTPHONE MOUNTING DEVICE FOR VEHICLE}

The present invention relates to a safe driving guide system using a smartphone holder for a vehicle, and in detail, a plurality of smart phones provide various driving information generated in the holder to a server equipped with artificial intelligence as event and sensor information, and the server relates to a safe driving guide system using a smartphone holder for automobiles that can provide driving guide information by extracting the driver's driving pattern and traffic situation pattern by road section by turning it into big data.

In general, various devices for the convenience and safety of drivers have been added to automobiles. Typical examples include a drowsiness prevention device to prevent drowsiness that occurs unknowingly during long-distance driving or night driving, a lane departure warning device to warn of lane departure, a forward collision warning device, an inter-vehicle distance monitoring device, a ventilation device, and a smartphone charging device. Circuits and applications, cradles, and the like for communication with and have been proposed.

However, as the various convenience devices described above were implemented as independent devices, the driver had to purchase them separately, and in particular, as various convenience facilities were added in a heavy recovery method, there was a restriction on the use of space in the vehicle.

That is, there is a need for an integrated convenience device capable of collectively purchasing various convenience devices and increasing the utilization of a narrow space in the vehicle.

Korean Patent Publication No. 10-2009-0022909 (2009.03.04) Korean Patent Publication No. 10-2000923 (2019.07.11) Korean Patent Publication No. 10-1462918 (2014.11.12)

Therefore, the present invention has been devised to solve the conventional problems as described above, and an object of the present invention is to sense the quality of indoor air while driving on a cradle of a smartphone installed in a vehicle to automatically induce ventilation. An object of the present invention is to provide a smartphone holder for automobiles with an added prevention function.

In addition, another object of the present invention is to provide a smartphone holder for automobiles in which functions capable of lane departure, inter-vehicle distance monitoring, pedestrian collision warning, and forward collision warning generated during driving are added to a smartphone holder installed in a vehicle. .

In addition, another object of the present invention is to transmit a warning signal to a smartphone when a warning situation occurs and provide different visual warnings, driving records, and images for each situation to the driver, so that a smartphone holder for a car that can be used as a black box is to provide.

Therefore, the present invention may include the following examples in order to achieve the above object.

An embodiment of the present invention includes a cradle that holds a smartphone in a car and a server that collects driving records and sensor values from a plurality of smart phones and converts them into big data, the cradle includes a light emitting module that issues an alarm in one or more colors, An alarm unit including an audio module for issuing a warning as at least one of a voice message and a warning sound, a carbon dioxide sensor for detecting the concentration of carbon dioxide in the room, and a light emitting signal when the concentration of carbon dioxide detected by the carbon dioxide sensor exceeds a set reference value A ventilation induction control unit for inducing and guiding indoor air ventilation as any one of a voice message and a warning sound, a housing with a built-in wireless charging antenna for wirelessly charging the smartphone battery on one side, and sliding pressure from both sides of the housing A holder member having a bar to fix the smartphone, a charging member that detects the charge amount and temperature of the battery of the smartphone to cut off the charging power when either overcharging or overheating is detected, and a camera for taking an image Analyzes the front image taken from the vehicle to detect the inter-vehicle distance, lane departure, and pedestrian collision, and provides ventilation induction, lane departure detection, and inter-vehicle distance warning to the front monitoring member and smartphone that warns with either a light-emitting signal, a warning sound, or a voice message. It may include a communication member for transmitting the event and sensor information including one or more of the pedestrian collision warning.
In the above embodiment, the front monitoring member divides a reference line extending in one direction spaced apart in the vertical direction from the image taken by the camera, and a search area setting module for setting objects passing through the reference line as a search area; A lane detection module that detects consecutively extended or continuously detected objects from among passing objects as lanes and a pair of vertical reference lines having a width that matches both lanes in the captured image, and a pair A lane departure warning unit including at least one of a lane departure detection module that warns of lane departure by comparing the vertical reference lines of It may include a pedestrian collision warning unit having a second speed calculation module for detecting the moving speed, and a pedestrian detection module for detecting a pedestrian in the image.
In the above embodiment, the pedestrian detection module specifies a pedestrian from among the objects included in the image through the distance and movement speed calculated by the second speed calculation module, and controls the alarm unit to alert when it is within a set distance, and a communication member can be sent to a smartphone through
In addition, the server transmits driving guide information to a smartphone requesting navigation information for the section by calculating a traffic condition pattern for each season, month, day, and time zone for each section of the road through the driving record.
In addition, the server calculates each driver's driving pattern including driving habits or preference roads, including whether each driver is speeding, the inter-vehicle distance, lane departure, and the possibility of drowsy driving from the collected big data, and uses the smartphone to analyze the driver's driving pattern. It transmits driving guide information that includes at least one suitable travel route, speeding prevention, food and sight guidance, and drowsiness prevention.
In the above embodiment, the driving guide information has a shorter travel time than other drivers compared to the usual driving distance and the number of speeding times so that the driving guide information can guide points to be paid attention to or preferred travel method for driving according to the driving pattern of the driver. For many drivers, compared to the information provided to drivers with different driving patterns, guidance and warnings to prevent speeding are strengthened.
In addition, the driving guide information is provided along with the navigation information provided on the smartphone, so it includes warnings issued on specific roads and time zones where there are many warnings about lane departure, inter-vehicle distance, and pedestrian collisions, as well as guidance information on detours, and driving patterns. Accordingly, it is possible to guide the driver's smartphone through a tourist destination or resort to a route that is easy to access to sights and food.

The present invention detects the weight of the smartphone and as the pressurization of the pressure bar progresses, it is easy to mount the smartphone, and the carbon dioxide sensor in the holder detects the quality of the indoor air while driving and can automatically induce ventilation. It has the effect of preventing driving.

In addition, as the present invention adds functions that enable lane departure warning, inter-vehicle distance monitoring, pedestrian collision warning, and forward collision warning that are generated while driving to the holder of a smartphone installed in a vehicle, at a lower cost for safe driving of a vehicle. Options can be enhanced.

In addition, the present invention transmits a warning signal to a smartphone when a warning situation occurs to provide different visual warnings and driving records and images for each situation to the driver, and stores the images taken from the cradle in the smartphone in real time It can be printed out, so it can replace a black box.

In addition, the present invention records event information generated during driving using a cradle and analyzes a plurality of sensor information collected from a smartphone to extract driving patterns and road traffic situation patterns for each driver, so the driver's driving habits and preferences It is possible to provide customized directions and guides while driving.

1A and 1B are views showing the outline of a safe driving guide system using a smartphone holder for a vehicle according to the present invention.
2 is a block diagram illustrating a smartphone holder.
3 is a diagram schematically illustrating a holder member.
4 is a block diagram showing the holder member.
5 is a block diagram showing the ventilation inducing member.
6 is a block diagram illustrating a lane departure warning unit.
7 is a block diagram illustrating a forward collision warning unit.
8 is a block diagram illustrating a pedestrian collision warning unit.
9 is a block diagram illustrating a filling member.
10 is a block diagram illustrating a smartphone.
11 is a block diagram illustrating a server.
12 is a flowchart illustrating step S110 in the control method of a safe driving guide system using a smartphone holder for a vehicle according to the present invention.
13 is a flowchart illustrating step S120.
14 is a flowchart illustrating step S210.
15 is a diagram sequentially exemplifying lane detection and lane departure detection processes.
16 is a flowchart illustrating step S220.
17 is a diagram illustrating an inter-vehicle distance sensing process.
18 is a flowchart illustrating step S230.
19 is a flowchart illustrating step S300.

Hereinafter, embodiments and examples of the present invention will be described in detail so that those of ordinary skill in the art to which the present application pertains can easily carry out the present invention.

However, the present application may be embodied in various different forms and is not limited to the embodiments and examples described herein, and the terms or words used in the specification and claims are not limited to conventional or dictionary meanings, and the present invention is not limited to the embodiments and examples described herein. It must be interpreted as a meaning and concept consistent with the technical idea of

Throughout the specification, when a part "includes" a certain element, it means that other elements may be further included, rather than excluding other elements, unless otherwise stated.

Hereinafter, a preferred embodiment of a safe driving guide system using a smartphone holder for a vehicle according to the present invention will be described with reference to the accompanying drawings.

1A and 1B are views showing the outline of a safe driving guide system using a smartphone holder for a vehicle according to the present invention.

1A and 1B , the present invention includes a smartphone 20 and a cradle 10 installed in a vehicle to mount and charge the smartphone 20 .

In addition, the present invention includes a server 30 equipped with artificial intelligence for extracting the driver's driving pattern and the traffic situation pattern for each road section by converting the event and sensor information received from the plurality of smart phones 20 into big data.

The smartphone 20 may output information and signals received from the smartphone holder 10 through wireless communication such as Wi-Fi and Bluetooth with the smartphone holder 10 . In addition, the smartphone 20 collects event information (inter-vehicle distance warning, pedestrian collision warning, ventilation induction, lane departure, mileage, driving time) generated while driving through the cradle 10 to collect navigation information and A mapped driving record is generated and transmitted to the server 30 .

The server 30 is equipped with artificial intelligence to make big data of driving records received through a plurality of smart phones 20, and data-mining it to extract and provide driving patterns for each driver and traffic situation patterns for each road section. can

The cradle 10 charges the battery (not shown) of the smartphone 20 by converting the mechanical structure for holding the smartphone 20 and the power supplied from the battery mounted in the vehicle. Here, the smartphone holder 10 may provide a driver guide function including an inter-vehicle distance, a forward collision and a pedestrian collision, and a drowsy driving warning by monitoring the front in addition to the mounting and charging of the smartphone 20 .

In addition, the cradle 10 may transmit event information generated during driving to the smartphone 20 , and the smartphone 20 outputs an alert and information received from the cradle 10 so that the driver can recognize it. do.

The cradle 10 will be described with reference to FIG. 2 . 2 is a block diagram illustrating a smartphone holder.

2, the holder 10 according to the present invention includes a holder member 100 for supporting the smartphone 20, a ventilation inducing member 200 that detects indoor air and issues a ventilation induction alarm, and a camera. A front monitoring member 300 for monitoring and alerting the front using 350, a charging member 400 for charging the smartphone 20, and converting power and driving power for charging of the smartphone 20 and It may include a power supply member 500 to output, and a communication member 600 for performing communication with the smart phone 20 .

The double holder member 100 serves to mount the smartphone 20 in the vehicle, and can be automatically pressed and released to facilitate the user's process of mounting and releasing the smartphone 20 . This will be described with reference to FIGS. 3 and 4 .

Figure 3 is a schematic view of the holder member, Figure 4 is a block diagram showing the holder member.

3 and 4, the holder member 100 is upright and the smartphone 20 is in close contact with the housing 110 from one side, and sliding from both sides of the housing 110 to press the smartphone 20 A pair of pressure bars 120, an upright bar 140 supporting the housing 110, and a motor 160 for driving the pedestal 130 and the pressure bar 120 under the housing 110, and the smart It includes a weight sensor 170 for detecting the phone 20 and a motor control unit 150 for controlling the motor 160 .

The housing 110 is rotatably fixed by the upright bar 140 on the pedestal 130 . One surface of the housing 110 is supported in close contact with one surface of the smartphone 20, and preferably, a charging antenna 461 (eg, WPC: Wireless Power Consortium) may be configured as a built-in charging pad. .

The upright bar 140 is upright on one side of the pedestal 130 and includes a hinge means (not shown) connected to the housing 110 to rotatably support the housing 110 .

The pedestal 130 is installed on the dashboard or other surface of the vehicle.

The weight sensor 170 is installed on any one of the pedestal 130 or one surface of the housing 110 to detect the weight of the smartphone 20 . When the weight of the smart phone 20 is sensed, the weight sensor 170 outputs a detection signal to the motor control unit 150 .

The release switch 180 outputs a release command of the pressure bar 120 . The release switch 180 is configured as a push-type switch on one side of the housing 110, preferably a piezoelectric sensor can be applied.

When the detection signal of the weight sensor 170 is received, the motor control unit 150 drives the motor 160 to operate the pressure bar 120 . When the weight is sensed, the motor control unit 150 controls the pressure bar 120 to slide from the outside to the inside, and when the release switch is operated, it can be released by sliding the pressure bar 120 to the outside.

For example, when the user mounts the smart phone 20, the user puts it on the housing 110 or the pedestal 130. Then, the motor control unit 150 receives the weight detection signal of the weight sensor 170 and slides the pressure bar 120 to press both sides of the smartphone 20 to fix it.

In the opposite case, the user can release the pressure by moving the pressure bar 120 to the outside by the on/off of the release switch 170 .

The ventilation inducing member 200 is characterized in that it detects the concentration of carbon dioxide in the room and induces the user (driver) to ventilate the indoor air. The description of the ventilation inducing member 200 will be described with reference to FIG. 5 . 5 is a block diagram showing a ventilation inducing member.

5, the ventilation inducing member 200 is a carbon dioxide detection sensor 230 for detecting the carbon dioxide concentration, a timer 240 for counting time, and an alarm unit 220 for issuing an audiovisual alarm inducing ventilation And, it includes a ventilation induction control unit 210 for controlling the alarm in accordance with the detection signal of the carbon dioxide detection sensor 230 or the timer 240.

The carbon dioxide detection sensor 230 detects the concentration of carbon dioxide in the interior of the vehicle. For example, it is known that drowsiness is caused as the concentration of carbon dioxide in the room increases. Therefore, in the present invention, it detects a case where the carbon dioxide concentration in the vehicle is higher than a set standard, and induces air in the vehicle to be ventilated.

The alarm unit 220 includes a light emitting module 222 made of a plurality of LEDs having different colors, and an audio module 221 for outputting an alarm sound or a voice message.

The light emitting module 222 is sequentially lit in different colors according to the concentration of carbon dioxide. For example, it may be divided into several stages such as comfort and ventilation or comfort and attention and ventilation and displayed sequentially.

The audio module 221 stores an alarm sound and/or a voice message, and outputs an alarm sound and/or a voice message set under the control of the ventilation induction controller 210 . Here, the alarm sound and the voice message may be a rating guidance message such as indoor air comfort, caution, and ventilation, or a voice of other content.

In addition, the alarm unit 220 may be interlocked with the front monitoring member 300 and the charging member 400 in addition to the ventilation inducing member 200 to issue various alarms. This will be described later.

The ventilation induction control unit 210 sequentially controls the alarm unit 220 according to the detection signal of the carbon dioxide sensor 230 . For example, when the concentration of carbon dioxide in the vehicle is less than a set standard, the light emission is controlled to indicate air comfort (eg, green light) by controlling the light emitting module 222 . Alternatively, the ventilation induction controller 210 drives the light emitting module 222 and the audio module 221 to alert the driver when the carbon dioxide concentration is greater than or equal to a set standard. For example, the light emitting module 222 may turn on a red light requiring attention, and the audio module 221 may output a warning sound or a voice guidance message.

The timer 240 is a real time clock, and when the vehicle is started and power is supplied from the power member 500, it counts the time and outputs a detection signal for each set time period.

Alternatively, the timer 240 may have a built-in rechargeable battery. Therefore, when the ignition of the vehicle is turned off, the timer 240 is operated with the power charged in the battery, so it is also possible to continuously count the time.

The ventilation induction control unit 210 is the alarm unit 220 to ventilate the indoor air when a set time has elapsed from the time when power is supplied from the power member 500 after starting through the counting signal for each time period from the timer 240 . can control The ventilation induction using the timer 240 as described above may proceed simultaneously with the ventilation induction using the above-described sensing of the carbon dioxide concentration or may be performed alone.

Here, the power member 500 is connected to a power device such as a cigar jack, and is converted into power according to an internal driving power level and supplied. In addition, as described above, the power member 500 may be a rechargeable battery to supply power even after the ignition of the vehicle is turned off.

In addition, when the ventilation induction control unit 210 issues an alarm by any one of the carbon dioxide sensor 230 and the timer 240, it is also possible to transmit an alarm to the smart phone 20 through the communication member 600 Do. In this case, the alarm may be at least one of an alarm sound stored in the cradle 10 , a voice message, and a contract code. Therefore, when a ventilation induction alarm signal is received from the smartphone holder 10 , the smartphone 20 may perform flickering to flicker the screen, or may output one or more of a received or stored alarm sound and a voice message.

The front monitoring member 300 includes a camera 350 for photographing the front, a lane departure warning unit 314 for predicting and/or warning of lane departure of a vehicle through the image of the camera 350 , and the camera 350 . The forward collision warning unit 320 that analyzes the image to predict and warn the possibility of a forward collision, the pedestrian collision warning unit 330 that predicts and warns the possibility of a pedestrian collision by analyzing the image of the camera 350, and It includes a driving record unit 340 that records the event, stores it in real time and/or transmits it to the smart phone 20 .

The camera 350 is installed to photograph the front from any one of the pedestal 130 of the holder member 100 , the housing 110 , and the upright bar 140 . Alternatively, the camera 350 may be installed as a separate component from the mechanical components of the cradle 10 . For example, the camera 350 is configured integrally with the cradle 10, or is connected to the cradle 10 with a cable as an independent configuration and is separately installed on any one of the dashboard, front windshield, and rearview mirror of the vehicle. .

The lane departure warning unit 314 analyzes the image captured by the camera 350, classifies a lane in the image, and warns whether the vehicle departs. A detailed configuration of the lane departure warning unit 314 will be described with reference to FIGS. 6 and 15 .

6 is a block diagram illustrating a lane departure warning unit, and FIG. 15 is a diagram sequentially illustrating a lane detection and lane departure detection process.

6 and 15 , the lane departure warning unit 314 analyzes the image received from the camera 350 to set a search area setting module 311 for setting a search area, and a lane for detecting a lane in the search area. It includes a detection module 312 , a Kalman filter 313 for improving image quality by adjusting noise, brightness, and chroma in the image, and a lane departure detection module 314 for detecting whether or not there is a lane departure through the image.

The camera 350 is turned on when the vehicle is started and power is supplied from the power member 500 to photograph the front. The captured image is analyzed through the lane departure warning unit 314 .

The search area setting module 311 divides a reference line A (refer to FIG. 15 (b)) that is spaced apart from each other in the vertical direction and extends in the horizontal direction in the captured image as shown in FIG. 15A. That is, the search area setting module 311 limits objects passing through the reference line A as the search area.

The lane detection module 312 recognizes objects B that are continuously extended or continuously detected with a predetermined rule among objects passing through the reference line A as lanes. This is as shown in Figure 15 (c).

The Kalman filter 313 removes noise from the image and corrects the screen when it is difficult to detect the lane B due to weather, brightness, or image noise in the image as shown in (a) or (b) of FIG. 15 . do. That is, when a lane is not detected, the lane detection module 312 drives the Kalman filter 313 to perform re-detection.

As shown in (d) of FIG. 15, the lane departure detection module 314 detects a center point between a pair of vertical reference lines (C') having the same width as both lanes and the vertical reference lines (C') on both sides. The dividing center reference line (C) is set. And the lane departure detection module 314 compares the positions of the vertical reference lines (C') and the central reference line (C) of both sides with the position of the object (B) detected as the lane, and alerts the lane departure according to the error distance. can

Here, the lane departure detection module 314 drives the warning unit 220 to output an alarm sound and/or a voice message when lane departure is predicted or detected. Alternatively, the lane departure detection module 314 transmits a warning signal to control the communication member 600 to blink the screen of the smartphone 20 or output a voice and/or a warning sound.

Here, the light emitting module 222 may be set to emit light in a color different from that of the ventilation induction. That is, since the warning unit 220 emits light to have different colors depending on the situation, it is preferable for the driver to know the reason for the warning through the emitted color. Alternatively, the alarm unit 220 may output an alarm sound and/or a voice message different from the alarm sound and voice message output when ventilation is induced.

The forward collision warning unit 320 analyzes the image captured by the camera 350 and detects the distance between the vehicles in front and/or the distance to other objects to predict and warn the occurrence of a collision. This will be described with reference to FIGS. 7 and 17 .

7 is a block diagram illustrating the forward collision warning unit 320, and FIG. 17 is a diagram illustrating an inter-vehicle distance sensing process.

7 and 17 , the forward collision warning unit 320 includes a first speed calculation module 321 for calculating a speed by analyzing an image captured by the camera 350, and an image pre-processing module for improving image quality 322 , a vehicle verification module 323 that verifies the vehicle from the input image, and an inter-vehicle distance calculation module 324 that calculates a distance from the verified vehicle.

The first speed calculation module 321 calculates the speed of the vehicle through the image captured by the camera 350 . For example, the first speed calculation module 321 sets a plurality of reference lines A (see FIG. 15 ) extending in the horizontal direction as a reference object, and sets each of the objects passing through the reference object (for example, , lane, road facility, vehicle) (refer to FIG. 15 ) may be set as a moving object, and the speed may be calculated through the time of the moving objects passing through the reference objects (A).

The image pre-processing module 322 improves the image quality of the image captured by the camera 350 so that it is displayed with a clearer image quality. It is also possible to apply the Kalman filter 313 of the lane departure warning unit 314 .

The vehicle verification module 323 detects a vanishing point, a background, and a vehicle width by perspective in the image, and detects objects within the vehicle width as a vehicle. An example of this is shown in FIG. 17(c).

Referring to (c) of Figure 17, the vehicle verification module 323 divides the vanishing point (D) and the background dividing line (E) by a tangent line, and the width of the front object (G) is spaced apart from each other by perspective. A vehicle is detected by predicting its width by setting a plurality of horizontal dividing lines (F). Here, as the horizontal dividing line F is spaced apart by a set interval, the distance to the vehicle in front can be calculated through the number. Here, the horizontal dividing line F is calculated according to the vehicle width.

If the speed calculated by the first speed calculation module 321 is greater than or equal to the set speed, the inter-vehicle distance calculation module 324 uses the horizontal dividing lines F divided by the vehicle width of the front vehicle detected by the vehicle verification module 323. Thus, if the inter-vehicle distance is greater than the set distance, a warning signal is output.

The inter-vehicle distance warning signal may be composed of a light emitting signal using the warning unit 220 and at least one of a voice and/or a warning sound. At this time, the light emitting signal, warning sound, and voice message may be output in a different color, warning sound, and message from ventilation guidance and lane departure. Also, the inter-vehicle distance calculation module 324 may transmit a warning signal to the smartphone 20 through the communication member 600 .

The pedestrian collision warning unit 330 detects a pedestrian in the image of the camera 350 and predicts and warns of the possibility of collision. This will be described with reference to FIG. 8 .

8 is a block diagram illustrating a pedestrian collision warning unit.

Referring to FIG. 8 , the pedestrian collision warning unit 330 analyzes the image captured by the camera 350 to detect the driving speed of the vehicle and the moving speed of the pedestrian, and the pedestrian in the image. It includes a pedestrian detection module 332 for detecting the.

The second speed calculation module 331 detects the driving speed of the vehicle and the moving speed of the pedestrian from the image. Here, the second speed calculation module 331 calculates the driving speed of the vehicle, specifies the objects included in the front image, and calculates the moving speed.

The pedestrian detection module 332 calculates a distance between the specified objects and the vehicle. At this time, the pedestrian detection module 332 divides the distance of the front object into a plurality of horizontal reference lines according to the perspective, and calculates the distance of the objects through the interval and speed of the horizontal reference line.

And the pedestrian detection module 332 specifies a pedestrian from among the objects included in the image through the distance and the movement speed calculated by the second speed calculation module 331, and controls the alarm unit 220 if it exists within a set distance. do. The pedestrian detection signal may be output through one or more of the light emitting module 222 and the audio module 221 of the alarm unit 220 , and may be transmitted to the smart phone 20 through the communication member 600 .

The driving record unit 340 records and stores the event generated during driving, and transmits it to the smartphone 20 . For example, the driving record unit 340 generates a driving record including an inter-vehicle distance warning, a pedestrian warning, a ventilation induction history, and image information photographed at each warning generated from the start-on time of the vehicle to the start-off time. Alternatively, the driving record unit 340 may store the entire image generated during driving and transmit it according to a selection command of the smart phone 20 .

For example, in order to check and extract an image stored in a black box, there is a cumbersome problem in that a memory card must be removed and a related image must be output through a laptop or desktop.

However, in the present invention, the image taken in the driving record book 340 is stored, and whether or not to be transmitted is determined according to a selection command of the smart phone 20 . Therefore, unlike the existing black box, the driver can check the entire image on the day through his/her smartphone 20 .

Alternatively, the driving record unit 340 may separately edit only a predetermined time section before and after based on the section in which the event occurs in the captured image and include it in the driving record.

The charging member 400 is capable of at least one of wireless charging and cable charging using USB, and can control the output of power by detecting overcharging and overheating of the battery of the smartphone 20 generated during charging. This will be described with reference to FIG. 9 .

9 is a block diagram illustrating a filling member.

9, the charging member 400 includes a charging control unit 410 for controlling charging, a charging sensing unit 420 for sensing the charge amount of the battery of the smartphone 20, and a temperature sensor for sensing temperature ( 430 , a converter 440 for converting power, a switch unit 450 for switching a charging power line, and a charging unit 460 for charging the battery of the smartphone 20 .

The charging sensing unit 420 senses the charging power of the battery of the smartphone 20 and outputs it to the charging control unit 410 .

The temperature sensor 430 senses the temperature of the battery and outputs it to the charging control unit 410 .

The charging control unit 410 receives the detection signals of the charging sensing unit 420 and the temperature sensor 430 and controls the switch unit 450 to prevent overcharging or overheating of the battery. For example, when the charging voltage of the battery corresponds to a set reference value through the charging sensing unit 420 , the charging control unit 410 controls the switch unit 450 to cut off the power supplied through the converter 440 .

Alternatively, when the temperature of the battery detected by the temperature sensor 430 is higher than or equal to the set temperature, the charging control unit 410 controls the switch unit 450 to cut off charging of the battery.

The converter 440 converts the power supplied from the power member 500 to the charging power level of the battery. Here, the power converted by the converter 440 is supplied to the pass-through charging unit 460 through the power line to which the switch unit 450 is connected.

The charging unit 460 includes a charging antenna 461 for wirelessly charging the battery, and a charging connector 462 connected to the smart phone 20 as a USB cable for charging.

The charging antenna 461 is a wireless charging antenna built into one surface of the housing 110 and may be implemented in a Wireless Power Consortium (WPC) method.

The charging connector 462 is a USB cable connected to the smart phone 20 by wire to supply charging power.

That is, the present invention is characterized in that the battery management system (BMS) that can prevent the failure of the battery due to overcharging and high temperature through the cradle 10 is implemented.

In the present invention, the smartphone 20 performs wireless communication (eg, WiFi or Bluetooth) with the cradle 10 to provide a warning signal (ventilation induction, inter-vehicle distance, lane departure and pedestrian collision warning) of the cradle 10. Receives event information according to the request, and transmits the received event information to the server 30 in a remote location. Here, the smart phone 20 may generate a driving record in which the event, sensor information, and navigation information are synthesized and transmit it to the remote server 30 . Such a description of the smartphone 20 will be described with reference to FIG. 10 .

10 is a block diagram illustrating a smartphone.

Referring to FIG. 10 , the smartphone 20 includes a terminal control unit 21 that generates a driving record including the event received from the cradle 10, sensor information, and navigation information and transmits it to the server 30, and the cradle ( 10) and a terminal communication unit 23 for communicating with the server 30, a terminal display 24 for outputting a warning message and an app screen, and a terminal storage unit 25 for storing event information, image information, and driving records ) and a terminal output unit 22 for outputting an audio signal.

The terminal output unit 22 outputs an audio signal under the control of the terminal control unit 21 . Here, the audio signal may be output in conjunction with the flickering (flickering) of the terminal display 24 as either a warning sound or a voice message.

The terminal communication unit 23 communicates with the cradle 10 and other smart phones 20 and the server 30 . To this end, the terminal communication unit 23 may include both short-range wireless and long-distance wireless communication devices.

The terminal display 24 may output an app screen (eg, navigation, warning message) or may receive a warning signal of the cradle 10 and output a warning signal while flickering. The app executed here may be a dedicated app capable of receiving and outputting a warning signal of the navigation and cradle 10, requesting and outputting an image from the cradle, and receiving and outputting driving guide information from the server. The above apps are downloaded from a specific server 30 or an external public server.

The terminal storage unit 25 may store an app dedicated to the navigation and cradle 10, driving records, event information, and image information.

The terminal control unit 21 includes a navigation module 21a that drives a navigation app, a driving record generation module 21b that maps event information to generate a driving record synthesized with navigation information, and the cradle 10 and transmission/reception from the server Includes a dedicated app execution module (21c) for outputting the data.

The navigation module 21a displays the driving route set by the driver on the electronic map. Here, the navigation module 21a may receive traffic information from the traffic server 30 and recommend an optimal route through this. Since this is a generally known technique, a detailed description thereof will be omitted.

The driving record generating module 21b creates a driving record by mapping the event information received from the cradle 10 and the driving record generated by the navigation module 21a to each other. Here, the driving record is completed by confirming the time of event information generated during driving and specifying a point of occurrence in the driving route of the navigation module 21a.

For example, if the driver has driven the XXX road for 4 hours, the driving record generating module 21b identifies the time when the inter-vehicle distance warning is sounded during driving and specifies the corresponding point on the electronic map including the driving route of the navigation system.

That is, in the present invention, the driving record may specify a point at which an event occurring during driving occurs when the driver starts driving after activating the navigation system. Therefore, in the finally completed driving record, all events occurring in the driving path of the driver may be recorded.

Here, the driving record generating module 21b may transmit the driving record generated to the server 30 by controlling the terminal communication unit 23 when a driving record is requested from the server 30 . Here, the driving record may be stored in real time or in the terminal storage and then transmitted for each set period (date/day/time/mileage/number of navigation executions).

The dedicated app execution module 21c controls to output the message and audio signal received from the cradle 10 to the terminal display 24 and the terminal output unit 22 . Preferably, the dedicated app execution module 21c may input a command for adjusting the warning sound of the cradle 10 or requesting a photographed image according to a command input from the terminal display 24 .

That is, the driver checks the list of images taken on the cradle 10 through the dedicated app output through his/her smartphone 20, selects it, and outputs the command to the terminal display 24 and stores it in the terminal storage unit. can be entered.

As such, the driving record transmitted from the smart phone 20 is utilized as big data and is used as raw data for calculating the driver's driving habits and road situation patterns by season/month/hour for each road and section. To this end, the server 30 may be equipped with artificial intelligence for big data collection and data mining. The server 30 will be described with reference to FIG. 11 .

11 is a block diagram illustrating a server.

Referring to FIG. 11 , the server 30 includes a data collection unit 33 for collecting data including driving records from a plurality of smart phones 20 , and a DB for storing the data collected by the data collection unit 33 . (34), an AI data processing unit 32 that extracts a traffic situation pattern for each driver and road section using data stored in the DB 34, and a data collection unit 33 and AI data processing unit 32 to control the and a server control unit 31 .

The data collection unit 33 collects data including driving records from a plurality of smart phones 20 and stores it in the DB 34 . Here, the smart phones 20 correspond to the smart phones 20 that have downloaded the cradle application. The data collection unit 33 requests driving records from the smart phones 20 in real time or at a set period under the control of the server control unit 31 , and stores the collected driving records in the DB 34 .

The DB 34 classifies and stores the collected driving records according to one or more of year/season/month/day/time zone and road section/driver criteria.

The AI data processing unit 32 includes a pattern extraction module 32a for each driver that extracts a driving pattern for each driver with reference to data stored in the DB 34, and a pattern extraction module 32b for each route that extracts a traffic situation pattern for each road section. ) is included.

The driver-specific pattern extraction module 32a receives the driving records from the smartphones 20 and maintains the driving habits of the drivers (eg, speed violations, the number of lane departures, the average driving time per year/month/day, and the inter-vehicle distance). pattern) can be calculated.

The pattern extraction module 32b for each route may calculate a traffic situation pattern by inferring the traffic situation by time in a specific section according to the location where the event occurred for each road section is specified with reference to the navigation information included in the driving record. . That is, the pattern extraction module 32b for each route infers the road traffic situation by year/month/day/time of the corresponding road section from the plurality of driving records received from the smartphones 20 of a plurality of drivers who have traveled the same section. Produces a pattern.

For example, the pattern extraction module 32b for each route is the most clogged time in the section through the speed and inter-vehicle distance of the vehicle in the corresponding time through the multiple driving records operated in the XX time zone in the 'a' section of the national road A; You can specify the weather and the day of the week. Conversely, it is also possible to calculate the cheapest road section among adjacent road sections.

That is, the AI data processing unit 32 can calculate the traffic situation pattern and the driver's driving pattern (habit) at a specific time in a specific road section, so that the smartphone 20 requests navigation information including the section in the section and time slot. ), it is possible to guide the route predicted according to the traffic situation pattern and cautions about the driver's wrong driving habits (maintaining distance between vehicles, ventilation to prevent drowsiness, and avoidance of lane departure).

That is, in the present invention, the server 30 may be associated with the navigation server 30 for transmitting navigation information to the smart phone 20 .

The server control unit 31 controls the AI data processing unit 32 and the data collection unit 33 according to input or set commands to collect driving records for each smart phone 20 and store them in the DB 34, and AI data The processing unit 32 is controlled to calculate a driving pattern for each smart phone 20 (by driver) and a traffic situation pattern for each road section.

The smart phone holder 10 for a vehicle according to the present invention and the safe driving guide system using the same include the configuration as described above. Hereinafter, a control method of a safe driving guide system using a smartphone cradle for a vehicle achieved through the above configuration will be described.

The present invention includes steps S110 and S120 to prevent drowsiness, steps S210 to S230 for lane departure, inter-vehicle distance and pedestrian detection, step S300 for mounting the smartphone 20, and the server 30 and a step S400 of generating driving guide information by calculating a driving pattern and a traffic pattern.

Steps S110 and S120 for preventing double drowsiness will be described with reference to FIGS. 12 and 13 .

12 is a flowchart illustrating step S110 in the control method of the smartphone holder 10 for a vehicle according to the present invention.

12 , step S110 includes a step S111 in which the vehicle is started and power is supplied, a step S112 for detecting the indoor CO2 concentration, a step S113 for comparing the detected concentration with a first reference value, and the detected concentration is the first If it is lower than the first reference value, step S114 of performing the first display, step S115 of comparing the detected concentration with the second reference value, step S116 of performing a second display if the detected concentration is lower than the second reference value, and A step S117 of comparing the third reference value, and a step S118 of transmitting a warning and/or transmission to the smart phone 20 if the third detected concentration is higher than the third reference value.

Step S111 is a step in which the start-up is turned on and power is supplied from the power member 500 to the cradle 10 . When the power is turned on, the ventilation induction control unit 210 waits for the detection signal of the carbon dioxide detection sensor 230 .

Step S112 is a step of receiving the detection signal of the carbon dioxide detection sensor 230 from the ventilation induction control unit 210. When the vehicle is started, the carbon dioxide sensor 230 detects the concentration of carbon dioxide in the indoor air and outputs it to the ventilation induction controller 210 .

Step S113 is a step in which the ventilation induction control unit 210 compares the detected value of the carbon dioxide sensor 230 with a set first reference value.

Step S114 is a step in which the ventilation induction control unit 210 outputs a set first display by driving the light emitting module 222 when the detection value of the carbon dioxide sensor 230 is lower than the first reference value. Here, the first indication means that the indoor air is comfortable.

Step S115 is a step in which the ventilation induction control unit 210 compares the detected value of the carbon dioxide sensor 230 with the first reference value and the second reference value. Here, the second reference value is a value higher than the first reference value, and the ventilation induction control unit 210 compares it with the second reference value when the detected concentration is higher than the first reference value.

Step S116 is a step in which the ventilation induction control unit 210 controls the light emitting module 222 to output a second display when the detected value of the carbon dioxide sensor 230 is higher than the first reference value and lower than the second reference value. The light emitting module 222 is composed of a plurality of LEDs that emit light in different colors. Therefore, the ventilation induction control unit 210 emits the LED set to the second display among the plurality of LEDs. The second mark may mean a level at which carbon dioxide in the room should be taken care of.

Step S117 is a step of comparing the detection value of the carbon dioxide concentration with a third reference value when the detection value is higher than the second reference value. Ventilation induction control unit 210, if the sensed value is higher than the second reference value, compares it with the third reference value.

Step S118 is a step in which the ventilation induction control unit 210 issues a warning to induce ventilation. When the carbon dioxide concentration detection value exceeds the set third reference value, the ventilation induction control unit 210 controls the audio module 221 to output a stored warning sound or voice message to guide the ventilation of the room. Or the ventilation induction control unit 210 transmits a warning signal to the smart phone (20).

The smart phone 20 may receive the ventilation induction warning signal of the cradle 10 and may flicker or output a stored voice message or text message to induce indoor ventilation.

That is, the present invention detects the concentration of carbon dioxide in the room in order to prevent drowsy driving, and if it is higher than a set reference value, guides the driver to ventilate the indoor air. It is a well-known fact that the higher the concentration of carbon dioxide, the more drowsy the driver may come.

In addition, the present invention can induce indoor ventilation for each set time period in the starting-on state in addition to detecting the carbon dioxide concentration. This is implemented as step S120 and will be described with reference to FIG. 13 .

13 is a flowchart illustrating step S120.

13, the step S120 is a step S121 of power on, a step S122 of counting the time by driving the timer 240, a step S123 of detecting a set time, and when the set time is counted, to guide ventilation induction and step S124.

Step S121 is a step in which the vehicle is started and power is supplied.

Step S122 is a step in which the timer 240 is operated by the ventilation induction control unit 210, and counting the time. When the vehicle is started and power is supplied, the ventilation induction control unit 210 turns on the timer 240 and drives it to count the set time.

Step S123 is a step in which the ventilation induction control unit 210 checks the counting signal of the timer 240 to detect whether the set time is counted. For example, the timer 240 is set to output a counting completion signal every two hours after the engine is started. Therefore, the ventilation induction control unit 210 detects whether or not the set time has elapsed after starting through the counting signal of the timer 240 .

Step S124 is a step in which the ventilation induction control unit 210 detects that the set time has elapsed and drives the audio module 221 and the light emitting module 222 to induce ventilation of the room air. Here, the audio module 221 and the light emitting module 222 each output a set voice message or a warning sound, or emit light in a set color to induce ventilation. In addition, the ventilation inducing signal may be transmitted to the smart phone 20, and it is also possible to output a light emitting signal and a voice and/or a warning sound through flickering in the smart phone 20.

Here, the present invention may include any one or both of the above-described carbon dioxide detection sensor 230 and ventilation induction using the timer 240 .

Step S210 will be described with reference to FIGS. 14 and 15 .

14 is a flowchart illustrating step S210, and FIG. 15 is a diagram sequentially illustrating a lane detection and lane departure detection process.

14 and 15 , step S210 includes step S211 in which power is turned on when the engine is started, step S212 for arranging a reference line in the captured image, step S213 for setting a search area, and selecting a lane in the search area. Step S214 of detecting, step S215 of filtering the image if no lane is detected, step S216 of re-detecting a lane, step S217 of detecting the lane width and the center of the lane, and step S218 of detecting whether or not a lane is departing; and a step S219 of warning of lane departure and generating event information.

Step S211 is a step in which the power supplied after the vehicle is started is turned on. Accordingly, the lane departure warning unit 314 and the camera 350 are turned on. In this case, the captured image of the camera 350 is illustrated in FIG. 15A .

Step S212 is a step in which the lane departure warning unit 314 receives the captured image from the camera 350 and arranges the reference line A in the captured image. As shown in (b) of FIG. 15 , a plurality of reference lines A extend in the horizontal direction so as to be spaced apart from each other in the vertical direction. Here, the reference lines A are spaced apart from each other in the vertical direction, and the spaced distance may indicate an actual distance difference.

Step S213 is a step in which the lane departure warning unit 314 sets a search area in the captured image. Here, the lane departure warning unit 314 distinguishes a background from a lane in the captured image, and sets an area other than the background as a search area. For example, the search area setting module 311 sets the ground as a search area by dividing a boundary point (eg, a horizon) between a road and the sky in the captured image. This can be done by detecting the vanishing point by perspective.

Step S214 is a step of detecting a lane. The lane detection module 312 detects a lane in the search area. In this case, the lane detection module 312 may designate objects extending for each set interval or section among objects in the image as lanes.

In step S215, if no lane is detected in step S214, the Kalman filter 313 is driven to remove noise from the image. For example, in a captured image, an object included in the image may not appear clearly due to contrast, saturation, or noise. Accordingly, in step S214 , the lane detection module 312 attempts to detect a lane, but drives the Kalman filter 313 when the lane is not detected. The Kalman filter 313 is operated to remove noise included in the image or to adjust the saturation or contrast ratio of the image.

Step S216 is a step of re-detecting a lane in the lane detection module 312 . When the filtering is completed in step S214, the lane detection module 312 re-detects the lane. This is as shown in Figure 15 (c).

Step S217 is a step in which the lane detection module 312 detects a center line and a lane width of a lane. The lane detection module 312 recognizes an object continuously extending without boiling on the left or right side of the lane detected in step S216 as the center line. In addition, the lane detection module 312 detects the width between the center line and the lane, and the lane and the lane, and sets the vertical reference line C' at both points where the objects are continuous. Here, the vertical reference lines C' on both sides are set based on a lane or center line object and a center point therebetween. That is, the vertical reference line C' is partitioned by setting the reference point at the location where both lanes (lane and center line, lane and lane) extend, and the center reference line C is set again between the two vertical reference lines C'. .

Step S218 is a step in which the lane departure detection module 314 detects a lane departure by comparing the positions of the vertical reference line C' and the center reference line C with the position of an object designated as the lane and/or center line.

The lane departure detection module 314 compares the positions of the vertical reference line C' and the central reference line C with the positions of the objects on the lane and the center line, and detects whether the vehicle departs from the lane.

Step S219 is a step in which the lane departure detection module 314 detects lane departure and alerts the audio module 221 and the light emitting module 222 to lane departure. Here, the lane departure detection module 314 may output a lane departure detection signal to the smartphone 20 . In addition, the light emitting module 222 displays light emission in a color different from that of the ventilation induction, and the audio module 221 outputs a warning sound or a voice message set for lane departure.

Step S220 will be described with reference to FIGS. 16 and 17 . 16 is a flowchart illustrating step S220. 17 is a diagram illustrating an inter-vehicle distance sensing process.

16 and 17 , in step S220, when the vehicle is started on, step S221 of receiving and analyzing the camera 350 image, step S222 of detecting the vehicle from the front image, and detecting the relative speed and inter-vehicle distance step S223, comparing the inter-vehicle distance with a set first reference value, step S225 displaying an inter-vehicle distance maintenance state in step S224, and step S226 of comparing the inter-vehicle distance with a first reference value and a second reference value; Step S227 of displaying the inter-vehicle distance of step S226, step S228 of comparing the inter-vehicle distance with a second reference value and a third reference value, and step S229 of warning the inter-vehicle distance and recording event information.

Step S221 is a step of receiving an image captured by the camera 350 after the vehicle is started by the forward collision warning unit 320 .

In step S222, the image pre-processing module 322 of the forward collision warning unit 320 removes noise from the captured image, automatically adjusts the image quality such as brightness or saturation, and the vehicle verification module 323 is driving the vehicle in front. This is the detection step. Here, the vehicle verification module 323 proceeds with the detection process of the vehicle in the captured image if the speed of the vehicle is greater than or equal to the set speed, that is, the vehicle verification module, as shown in FIG. D) is indicated by a tangent line, and the boundary line (E) with the ground is extracted and displayed as a tangent line.

In addition, the vehicle verification module 323 checks the lane and center line objects detected by the lane detection module 312 of the lane departure warning unit 314, calculates the width F of the object, and sets the width between the lane and the center line. An object belonging to the range of is detected as a car (G). Here, the plurality of horizontal dividing lines F divided in the horizontal direction according to the width of the object means the detected vehicle width. A plurality of horizontal dividing lines (F) are partitioned so as to be spaced apart at a set interval, and the intervals are partitioned so as to be spaced apart from each other with a ratio of the actual distance.

Step S223 is a step of calculating the current speed, the vehicle speed in the video, and the inter-vehicle distance. Here, the inter-vehicle distance calculation module 324 calculates the inter-vehicle distance using the horizontal dividing line F indicating the vehicle widths partitioned between the vehicles in the front detected in step S222, and the first speed calculation module 321 is based on the current speed. to calculate the relative speed (the speed of the vehicle in front).

Step S224 is a step of comparing the inter-vehicle distance calculated by the inter-vehicle distance calculating module 324 to a first reference value. For example, the first reference value may be set to an inter-vehicle distance of 70M or more.

Step S225 is a step of controlling the current inter-vehicle distance to be displayed in a specific color by displaying the light emitting module 222 when the current inter-vehicle distance is greater than the first reference value in the inter-vehicle distance calculating module 324 .

Step S226 is a step of comparing the inter-vehicle distance calculated by the inter-vehicle distance calculation module 324 with the first reference value and the second reference value after step S225. Here, the second reference value is a shorter distance than the first reference value and may be set within 30 to 70M. The inter-vehicle distance calculation module compares the inter-vehicle distance with the second reference value if the inter-vehicle distance is equal to or greater than the first reference value.

Step S227 is a step of notifying and warning the current inter-vehicle distance by operating the light emitting module 222 and the audio module 221 if the inter-vehicle distance calculated by the inter-vehicle distance calculating module 324 is within the second reference value. Here, the first speed calculation module 321 detects whether the vehicle is decelerated by checking the speed of the vehicle in front. Therefore, the inter-vehicle distance calculation module 324 controls the audio module 221 and the light emitting module 222 to warn the inter-vehicle distance when the deceleration is detected by the first speed calculation module 321 and the inter-vehicle distance is within the second reference value. do.

Preferably, the audio module 221 may output a voice message including the inter-vehicle distance, such as 'the distance to the vehicle in front is XX'.

Step S228 is a step of comparing with a third reference value when the inter-vehicle distance is less than or equal to the second reference value and deceleration is not detected in step S227. The inter-vehicle distance calculation module 324 compares the inter-vehicle distance detected in step S227 with the third reference value set as a shorter distance than the second reference value when the distance between the vehicles is shorter than the second reference value and the vehicle in front does not decelerate. The third reference value may be set to, for example, 30M or less.

In step S229, when the inter-vehicle distance detected in step S228 corresponds to the third reference value, the inter-vehicle distance calculating module 324 drives the audio module 221 and the light emitting module 222 to issue a warning and record event information. is a step The inter-vehicle distance calculation module 324 records the current time and an image including a time section set in the related image as event information. In addition, the inter-vehicle distance calculation module 324 may drive the audio module 221 and the light emitting module 222 to warn of a risk of a collision, and to output a warning using the smart phone 20 .

Step S230 is a step of detecting and warning a pedestrian collision. This will be described with reference to FIG. 18 . 18 is a flowchart illustrating step S230.

Referring to FIG. 18, step S230 includes step S231 of receiving the image captured by the pedestrian collision warning unit 330, step S232 of detecting the vehicle speed, step S233 of detecting a pedestrian from the captured image and calculating the distance , a step S234 of sequentially displaying light emission for each distance from a pedestrian, a step S235 of detecting a pedestrian within a set distance, and a step S236 of recording a warning and event information when a pedestrian is detected within a set distance.

Step S231 is a step of receiving an image from the camera 350 after the vehicle is started by the pedestrian collision warning unit 330 . Here, for the captured image, an image improvement process may be performed by the lane departure warning unit 314 and/or the forward collision warning unit.

Step S232 is a step in which the pedestrian collision warning unit 330 detects the speed of the vehicle.

Step S233 is a step in which the second speed calculation module 331 of the pedestrian collision warning unit 330 considers a pedestrian as a pedestrian and calculates a distance when the relative speed of the object detected from the image is less than or equal to the set speed. Here, the pedestrian detection module 332 may regard an object in which the driving speed of the vehicle is moving from the set speed or less to the set speed or less as a pedestrian.

For example, the pedestrian detection module 332 detects an object having a vehicle width set between the lane and the lane in the photographed image as a vehicle, crosses the lane and the lane, is stationary, or is moving objects Among them, an object whose speed is less than the set speed can be regarded as a pedestrian.

Step S234 is a step of controlling the light emitting module 222 to emit light in different colors according to the distance from the pedestrian to display the distance from the pedestrian by light. For example, the pedestrian detection module 332 turns on a blue LED when the distance is greater than or equal to a set first distance, and turns on a yellow LED when the second distance is shorter than the first distance. ) can be controlled.

Step S235 is a step of detecting a pedestrian within a set warning distance. The warning distance set here may be set to a distance adjacent to the vehicle (eg, within 20M). Alternatively, the set warning distance may be set differently according to the current driving speed of the vehicle. For example, a distance of 50M or more may be set as the warning distance when the vehicle is traveling at a speed of 50KM or more, or 10M may be set when the vehicle is traveling at a speed of 10KM or less. Alternatively, the pedestrian detection module 332 may consider both the case where the pedestrian is located in the driving direction of the vehicle and the case where the pedestrian is located at an adjacent street.

That is, the pedestrian detection module 332 selects the warning distance of the pedestrian according to the current driving speed of the vehicle calculated by the second speed calculation module 331, but considers the case where the pedestrian is located in the driving direction of the vehicle. compare the distances of

Step S236 is a step of warning the pedestrian by driving the audio module 221 and the light emitting module 222 when the pedestrian is located at a set warning distance in the pedestrian detection module 332 . For example, the pedestrian detection module 332 may send a voice message and a voice message if the position of the object considered as a pedestrian in the captured image is within the driving range of the vehicle (within the range set on both sides of the vertical baseline and the central baseline) and within the set warning distance A warning sound is output, and a red LED light-emitting display is also possible.

In addition, the pedestrian detection module 332 may control the communication member 600 to record whether or not a pedestrian collision warning is present as event information and transmit the information to the smartphone 20 .

Step S300 is a step of pressing and fixing the smartphone 20 in the charging member 400 and the holder member 100 , and charging the battery of the smartphone 20 . This will be described with reference to FIG. 19 .

19 is a flowchart illustrating step S300.

Referring to FIG. 19 , step S300 includes a step S311 of a standby state, a step S312 of sensing the weight, a step S313 of operating the pressure bar 120 to fix the smartphone 20 , and a step of the smartphone 20 . Step S314 of charging the battery and detecting the amount of charge, step S315 of comparing the amount of charge with a set standard, step S316 of charging the battery if the amount of charge is less than the set standard, step S317 of detecting the temperature of the battery and comparing it with a set temperature And, step S318 of turning off charging when the detected temperature is above the set temperature, and step S319 of alarming overheating of the battery and recording and transmitting event information.

Step S311 is a standby state before sensing the weight of the smartphone 20 in the holder member 100 . Here, the holder member 100 receives power when the engine is started and waits for the smartphone 20 to be mounted, or as a rechargeable battery is installed, the weight sensing sensor 170 mounts the smartphone 20 regardless of whether it is started or not. can detect

Step S312 is a step in which the weight sensor 170 detects the smart phone 20, the motor control unit 150 operates the motor 160 to fix the smart phone 20 with the pressure bar 120 . The weight sensor 170 may be installed, for example, on one surface of the housing 110 and the pedestal 130 . Therefore, when the driver mounts the smartphone 20 on the upper surface of the pedestal 130 in a state in which the smartphone 20 is in close contact with the housing 110 , the weight sensor 170 detects the weight of the smartphone 20 .

Step S313 is a step in which the motor control unit 150 controls the motor 160 to drive the pressure bar 120 . The pressing bar 120 is fixed by pressing both ends of the smartphone 20 positioned therebetween while slidingly moved on both sides of the housing 110 .

Here, the housing 110 may further include a separate release switch 180 to release the pressure of the pressure bar 120 .

Step S314 is a step in which the charge sensing unit 420 detects the charge amount of the battery of the smartphone 20 in close contact with the housing 110 .

Step S315 is a step in which the charging control unit 410 compares the amount of charge detected by the charge sensing unit 420 with the set amount of charge of the battery. Here, when the detected amount of charge is greater than or equal to the set amount of charge, the charging control unit 410 turns off the switch unit 450 to cut off the power supplied from the converter 440 to the charging unit 460 .

Step S316 is a step of turning on the power line connected to the charging unit 460 to the converter 440 when the amount of charge is equal to or less than the amount of charge set in step S315 . Accordingly, the charging unit 460 supplies power to the battery of the smartphone 20 to charge it. Here, the charging unit 460 may be one or more of a charging connector 462 composed of a WPC type charging antenna or a USB cable.

Step S317 is a step in which the charging control unit 410 receives a detection signal from the temperature sensor 430 and compares it with a set temperature. The temperature sensor 430 is installed on one surface of the housing 110 to sense the temperature of the battery in close contact. The charging control unit 410 compares the temperature sensed by the temperature sensor 430 with a set temperature.

Step S318 is a step in which the charging control unit 410 turns off the charging unit 460 . The charging control unit 410 blocks the power line connected from the converter 440 unit to the charging unit 460 by controlling the switch unit 450 when the detected temperature of the battery is higher than or equal to the set temperature to prevent overheating of the battery.

Step S319 is a step in which the charging control unit 410 controls the audio module 221 and the light emitting module 222 to alert the charging cutoff and overheating of the battery, and generates an event and sensor information and transmits it to the smartphone 20 .

That is, the cradle 10 according to the present invention charges the battery of the smart phone 20, and can cut off the charging power by detecting the amount of charge and temperature, thereby preventing damage due to overcharging and overheating of the smart phone 20 can do.

In step S400, the server 30 collects the driving record including the event and sensor information of the smartphone 20 to complete the big data, and calculates the driving pattern for each driver and the traffic situation pattern for each road section through the big data. is a step to

First, when the event and sensor information are received from the cradle 10 , the smartphone 20 synthesizes the currently activated navigation information to generate a driving record. That is, the terminal control unit 21 of the smart phone 20 generates a driving record by synthesizing the event and sensor information with the navigation information of the navigation module 21a by driving the driving record generating module 21b. For example, by checking the time of the lane departure, the inter-vehicle distance warning, the pedestrian collision warning, and the ventilation guidance warning in the time zone of a specific date included in the event and sensor information, the corresponding location may be specified during the operation section.

That is, the driving record may include event and sensor information including the date and time, and the driving record (start point and destination, moving route, average speed, and driving time) to include location information where the event occurred. Alternatively, the smart phone 20 may include image information in which the event occurred.

Alternatively, the smart phone 20 operates the dedicated app execution module 21c to receive and store the image captured in the cradle 10 in real time or selectively to perform its function as a black box.

Step S400 is a step in which the server 30 converts the driving record generated by the above process in the smartphone 20 into big data to calculate the driver's driving pattern and the traffic situation pattern for each road section.

For example, the data collection unit 33 of the server 30 collects driving records from a plurality of registered smart phones 20 and stores them in the DB 34 . Here, the data collection unit 33 classifies the data into driving records for each driver and for each road section, and classifies the data according to a topic set for each driver and each road section.

Here, as the server 30 is equipped with artificial intelligence, it is possible to extract a driving pattern for each driver and a traffic situation pattern for each road section from big data by year, month, day, and time period.

That is, the AI data processing unit 32 unit can drive drowsy through the driving habits of the driver through the driving records for each driver stored in the DB 34, for example, whether speeding through the driving record, whether the inter-vehicle distance is maintained, and the number of times of ventilation induction. And, it is possible to calculate the average rest time while driving, the preferred road (eg, highway, national road, local road), and frequently visited places (city, service area, shop, region).

Such a driving pattern allows the driver to guide the driver with points to be paid attention to for safety or his/her preferred travel method. For example, for drivers whose travel time is shorter than that of other drivers and the number of times of speeding is high compared to the guide information provided to drivers with different driving patterns, guidance and warnings to prevent overspeeding are strengthened compared to the guide information provided to drivers with different driving patterns. Guide information can be provided.

Alternatively, the server 30 provides the route to the destination input through the navigation module 21a to the driver's smartphone 20, who moves via the tourist destination or resort among the usual movement routes, so that access to sights or food is easy. guide the route.

Also, the server 30 may calculate a traffic condition pattern for each season, month, day, and time period for each section of the road through the driving record. For example, if the number of lane departure warnings is high in the specific time period of section B of road A, the lane departure and drowsiness warning can be strengthened in that section You may be instructed to detour the section.

The driving pattern and traffic situation pattern of the server 30 may be linked to the navigation module 21a of the smart phone 20 .

That is, the present invention uses the cradle 10 to alert event situations such as inter-vehicle distance, lane departure, drowsy driving, pedestrian collision, and front collision that occur while driving, and provides event and sensor information and navigation of the smartphone 20 . It is possible to calculate driving patterns and road traffic situation patterns using artificial intelligence by big data of driving records with information synthesized.

The embodiments of the present invention described above are merely exemplary, and those of ordinary skill in the art to which the present invention pertains will appreciate that various modifications and equivalent other embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention should be defined by the technical spirit of the appended claims, and it should be understood to include all modifications, equivalents and substitutes within the scope.

10: cradle 20: smartphone
21: terminal control unit 21a: navigation module
21b: driving record generation module 21c: dedicated app execution module
22: terminal output unit 23: terminal communication unit
24: terminal display 25: terminal storage unit
30: server 31: server control unit
32: AI data processing unit 32a: driver-specific pattern extraction module
32b: pattern extraction module for each path 33: data collection unit
34: DB 100: holder member
110: housing 120: pressure bar
130: pedestal 140: upright bar
150: motor control unit 160: motor
170: weight sensor 180: release switch
200: ventilation induction member 210: ventilation induction control unit
220: alarm 221: audio module
222: light emitting module 230: carbon dioxide detection sensor
240: timer 300: front monitoring member
310: lane departure warning unit 311: search area setting module
312: lane detection module 313: Kalman filter
314: lane departure detection module 320: forward collision warning unit
321: first speed calculation module 322: image pre-processing module
323: vehicle verification module 324: inter-vehicle distance calculation module
330: pedestrian collision warning unit 331: second speed calculation module
332: pedestrian detection module 340: driving record book
350: camera 400: charging member
410: charging control unit 420: charging sensing unit
430: temperature sensor 440: converter
450: switch unit 460: charging unit
461: charging antenna 462: charging connector
500: power member 600: communication member

Claims (7)

a cradle 10 for mounting the smartphone 20 in a vehicle; and
a server 30 that collects driving records and sensor values from a plurality of smart phones 20 and converts them into big data; including,
The cradle (10)
an alarm unit 220 including a light emitting module 222 for issuing an alarm as one or more colors and an audio module 221 for issuing a warning as at least one of a voice message and a warning sound;
a carbon dioxide sensor 230 for detecting the concentration of carbon dioxide in the room;
When the carbon dioxide concentration detected by the carbon dioxide sensor 230 exceeds a set reference value, a ventilation induction control unit 210 for inducing and guiding the ventilation of the indoor air as any one of a light emission signal, a voice message, and a warning sound;
A housing 110 having a built-in wireless charging antenna 461 for wirelessly charging the battery of the smartphone 20 on one side, and a pressing bar 120 sliding on both sides of the housing 110, the smartphone ( 20) a holder member 100 for fixing;
a charging member 400 that detects the charge amount and temperature of the battery of the smartphone 20 and cuts off the charging power when either overcharging or overheating is detected;
A camera 350 that takes an image is provided, and the front image taken by the camera 350 is analyzed to detect the inter-vehicle distance, lane departure, and whether there is a pedestrian collision. Forward monitoring that warns with any one of a light emitting signal, a warning sound, and a voice message member 300; and
a communication member 600 for transmitting event and sensor information including at least one of ventilation induction, lane departure detection, inter-vehicle distance warning, and pedestrian collision warning to the smartphone 20; including,
The front monitoring member 300 is
a search area setting module 311 for partitioning a reference line (A) extending in one direction spaced apart in a vertical direction from the captured image of the camera 350 and setting objects passing through the reference line as a search area; a lane detection module 312 configured to detect objects (B) that are continuously extended from among objects passing through the reference line (A) or continuously detected with a predetermined rule as lanes; and dividing a pair of vertical reference lines (C') having a width that matches both lanes in the captured image, and comparing the pair of vertical reference lines (C') with the position of the object B detected as the lane. a lane departure detection module 314 for warning of departure; a lane departure warning unit 310 including at least one of; and
Pedestrian collision having a second speed calculation module 331 for detecting the driving speed of the vehicle and the moving speed of the pedestrian by analyzing the image captured by the camera 350, and a pedestrian detection module 332 for detecting the pedestrian from the image warning unit 330; including,
The pedestrian detection module 332 is
Through the distance and movement speed calculated by the second speed calculation module 331, a pedestrian is specified from among the objects included in the image, and when it exists within a set distance, the alarm unit 220 is controlled to give an alarm, and the communication member 600 ) through the smart phone 20,
The server 30 is
Transmits driving guide information to the smartphone 20 that requests navigation information for the section by calculating the traffic situation pattern by season, month, day, and time for each section of the road through the driving record,
From the collected big data, it calculates the driving pattern for each driver, including the driving habits or preference road, including the speed between the drivers, the inter-vehicle distance, the possibility of lane departure and drowsy driving, and matches the driving pattern of the driver with the smartphone 20 Transmitting driving guide information that includes one or more of the designated movement route, speeding prevention, food and sight guidance, and drowsiness prevention,
Driving guide information
According to the driving pattern of the driver, the travel time is shorter than the usual driving distance compared to other drivers, and a different driving pattern is given to the driver with a high speeding frequency to guide safety precautions or preferred travel method. Compared to the information provided to drivers with
It is provided together with the navigation information provided to the smartphone 20, and includes warnings issued at specific roads and time zones with many warnings of lane departure, inter-vehicle distance, and pedestrian collisions, and guide information on detours,
Guiding a movement route for easy access to sights or food to the smart phone 20 of the driver who moves through a tourist destination or a resort according to a driving pattern; A safe driving guide system using a smartphone holder for automobiles, characterized in that
delete The method according to claim 1, The smartphone 20
When event information is received from the cradle 10 at any time, a safe driving guide system using a smartphone cradle for a vehicle, characterized in that the terminal display 24 blinks or the terminal output unit 22 outputs a navigation voice message or a warning sound. .
The method according to claim 3, Smartphone 20
a dedicated app execution module 21c for requesting and receiving event information and a photographed image from the cradle 10 and storing it in the terminal storage unit 25;
a navigation module 21a for outputting and guiding a navigation route from a departure point to a destination on the terminal display 24; and
By synthesizing the movement route of the navigation module 21a and the event information of the cradle 10, the time and location of departure and destination, travel time, movement route, ventilation guidance, inter-vehicle distance warning, pedestrian collision warning, and lane departure detection alarm are included. a driving record generating module 21b for generating a driving record; A safe driving guide system using a smartphone holder for automobiles, including a.
The method according to claim 4, The event information
A safe driving guide system using a smartphone holder for a vehicle, characterized in that the image of the set time section is included before and after the time when the warning is issued.
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