CN116211008A - Intelligent safety helmet, driving safety early warning method and storage medium - Google Patents
Intelligent safety helmet, driving safety early warning method and storage medium Download PDFInfo
- Publication number
- CN116211008A CN116211008A CN202211550951.7A CN202211550951A CN116211008A CN 116211008 A CN116211008 A CN 116211008A CN 202211550951 A CN202211550951 A CN 202211550951A CN 116211008 A CN116211008 A CN 116211008A
- Authority
- CN
- China
- Prior art keywords
- rider
- helmet
- speed
- control instruction
- reminding
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000004891 communication Methods 0.000 claims abstract description 4
- 230000004044 response Effects 0.000 claims description 6
- 238000004590 computer program Methods 0.000 claims description 5
- 230000000694 effects Effects 0.000 abstract description 10
- 206010039203 Road traffic accident Diseases 0.000 description 5
- 239000000969 carrier Substances 0.000 description 4
- 238000013527 convolutional neural network Methods 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000003203 everyday effect Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000035939 shock Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
-
- A—HUMAN NECESSITIES
- A42—HEADWEAR
- A42B—HATS; HEAD COVERINGS
- A42B3/00—Helmets; Helmet covers ; Other protective head coverings
- A42B3/04—Parts, details or accessories of helmets
- A42B3/0406—Accessories for helmets
- A42B3/042—Optical devices
-
- A—HUMAN NECESSITIES
- A42—HEADWEAR
- A42B—HATS; HEAD COVERINGS
- A42B3/00—Helmets; Helmet covers ; Other protective head coverings
- A42B3/04—Parts, details or accessories of helmets
- A42B3/0406—Accessories for helmets
- A42B3/0433—Detecting, signalling or lighting devices
- A42B3/0453—Signalling devices, e.g. auxiliary brake or indicator lights
-
- A—HUMAN NECESSITIES
- A42—HEADWEAR
- A42B—HATS; HEAD COVERINGS
- A42B3/00—Helmets; Helmet covers ; Other protective head coverings
- A42B3/04—Parts, details or accessories of helmets
- A42B3/0406—Accessories for helmets
- A42B3/0433—Detecting, signalling or lighting devices
- A42B3/046—Means for detecting hazards or accidents
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B3/00—Audible signalling systems; Audible personal calling systems
- G08B3/10—Audible signalling systems; Audible personal calling systems using electric transmission; using electromagnetic transmission
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Electromagnetism (AREA)
- Computational Linguistics (AREA)
- Software Systems (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Helmets And Other Head Coverings (AREA)
Abstract
The present disclosure relates to an intelligent safety helmet, a driving safety pre-warning method, and a storage medium, the intelligent safety helmet comprising: the helmet comprises a helmet body, a collecting device, a central control device and a reminding device, wherein the collecting device is arranged at the rear side of the helmet body, the central control device is arranged in the helmet body, the reminding device is arranged at the left side and/or the right side of the helmet body, and the collecting device and the reminding device are both in communication connection with the central control device; the helmet body is used for protecting the head of a rider; the acquisition device is used for acquiring video images of roads behind the riding person; the central control device is used for generating a first control instruction based on the video image; the reminding device is used for reminding the riding person to pay attention to the driving safety of the riding person according to the first control instruction. The intelligent safety helmet has the advantages that the early warning is carried out to a rider through the intelligent safety helmet, the road traffic safety of the rider is improved, and the effect of enriching the effect of the safety helmet is achieved.
Description
Technical Field
The disclosure relates to the technical field of traffic safety, in particular to an intelligent safety helmet, a driving safety early warning method and a storage medium.
Background
As the usage of automobiles increases, traffic conditions become more complex, and many people begin to choose to travel using the riding tools.
Adherence to traffic instructions and vigilance can improve the safety of riders in everyday traffic, but automobiles are also very dangerous for riders, thus requiring riders to wear safety helmets while using the riding tools. Most of the prior safety helmets consider that if a traffic accident happens, the riding person can be protected, and the effect is limited.
Disclosure of Invention
In order to solve the technical problems described above or at least partially solve the technical problems described above, the present disclosure provides an intelligent safety helmet, a driving safety early warning method, and a storage medium.
In a first aspect, the present disclosure provides an intelligent safety helmet comprising:
the helmet comprises a helmet body, a collecting device, a central control device and a reminding device, wherein the collecting device is arranged at the rear side of the helmet body, the central control device is arranged inside the helmet body, the reminding device is arranged at the left side and/or the right side of the helmet body, and the collecting device and the reminding device are both in communication connection with the central control device;
the helmet body is used for protecting the head of a rider;
the acquisition device is used for acquiring video images of roads behind the riding person;
the central control device is used for generating a first control instruction based on the video image;
the reminding device is used for reminding the rider of paying attention to the driving safety of the rider according to the first control instruction.
Optionally, the acquisition device comprises a wide-angle camera and a speed sensor;
the wide-angle camera is used for acquiring the video image;
the speed measuring sensor is used for measuring the riding speed of the rider.
Optionally, the central control device is specifically configured to identify a carrier in the video image when generating the first control instruction based on the video image; determining a distance between the vehicle and the rider based on the video image; and if the distance is smaller than a first preset distance, generating the first control instruction.
Optionally, the reminding device comprises a vibrator;
the vibrator is used for vibrating at a first preset frequency according to the first control instruction so as to remind the rider of the existence of the carrier within a first preset distance behind the rider.
Optionally, the reminding device further comprises a voice player;
the voice player is used for playing voice reminding the riding person of the existence of the carrier within a first preset distance according to the first control instruction.
Optionally, the central control device is further configured to determine a speed of the carrier based on the video image; if the speed is greater than a first preset speed and the distance is smaller than a second preset distance, generating a second control instruction, wherein the second preset distance is greater than the first preset distance;
the voice player is further used for playing and reminding the driver of the existence of the voice of the carrier exceeding the first preset speed within the second preset distance behind the driver according to the second control instruction.
Optionally, the central control device is further configured to generate a third control instruction in response to the riding speed being greater than a second preset speed;
the vibrator is further used for vibrating at a second preset frequency according to the third control instruction so as to remind the rider of reducing the riding speed.
In a second aspect, the present disclosure provides a driving safety pre-warning method, which is applicable to the intelligent safety helmet in the first aspect, and includes:
collecting video images of roads behind pedestrians;
generating a first control instruction based on the video image;
reminding the rider of paying attention to the driving safety of the rider according to the first control instruction.
Optionally, the method further comprises:
and measuring the riding speed of the rider.
Optionally, the generating a first control instruction based on the video image includes: identifying a vehicle in the video image; determining a distance between the vehicle and the rider based on the video image; and if the distance is smaller than a first preset distance, generating the first control instruction.
Optionally, the prompting the rider to pay attention to the driving safety according to the first control instruction includes: vibrating at a first preset frequency according to the first control instruction so as to remind the rider of the existence of the carrier within a first preset distance behind the rider.
Optionally, the prompting the rider to pay attention to the driving safety according to the first control instruction includes: and playing voice reminding the rider of the existence of the carrier within a first preset distance behind the rider according to the first control instruction.
Optionally, the method further comprises: determining a speed of the vehicle based on the video image; if the speed is greater than a first preset speed and the distance is smaller than a second preset distance, generating a second control instruction, wherein the second preset distance is greater than the first preset distance; and playing the voice reminding the driver of the carrier exceeding the first preset speed within a second preset distance behind the driver according to the second control instruction.
Optionally, the method further comprises: generating a third control instruction in response to the riding speed being greater than a second preset speed; vibrating at a second preset frequency according to the third control instruction so as to remind the rider to reduce the riding speed.
In a third aspect, the present disclosure provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method as described in the first aspect.
Compared with the prior art, the technical scheme provided by the disclosure has the following advantages:
the intelligent safety helmet, the driving safety early warning method and the storage medium provided by the disclosure are characterized in that the collecting device is arranged on the rear side of the helmet body for protecting the head of a rider, video images of the road behind the rider are collected, and then the central control device arranged in the helmet body is used for identifying traffic conditions behind the rider in the video images to generate a first control instruction, so that the reminding device is controlled to remind the rider of paying attention to the driving safety of the rider, and then the early warning of the rider to the intelligent safety helmet is realized, so that the road traffic safety of the rider is improved, and the effect of enriching the effect of the safety helmet is achieved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.
In order to more clearly illustrate the embodiments of the present disclosure or the solutions in the prior art, the drawings that are required for the description of the embodiments or the prior art will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.
Fig. 1 is a schematic structural view of an intelligent safety helmet according to an embodiment of the present disclosure;
FIG. 2 is a schematic structural view of an intelligent safety helmet according to yet another embodiment of the present disclosure;
fig. 3 is a flowchart of a driving safety early warning method provided by an embodiment of the disclosure.
Detailed Description
In order that the above objects, features and advantages of the present disclosure may be more clearly understood, a further description of aspects of the present disclosure will be provided below. It should be noted that, without conflict, the embodiments of the present disclosure and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure, but the present disclosure may be practiced otherwise than as described herein; it will be apparent that the embodiments in the specification are only some, but not all, embodiments of the disclosure.
Adherence to traffic instructions and vigilance can improve the safety of riders in everyday traffic, but automobiles are also very dangerous for riders, thus requiring riders to wear safety helmets while using the riding tools. Most of the prior safety helmets consider that if a traffic accident happens, the riding person can be protected, and the effect is limited. In view of this problem, embodiments of the present disclosure provide an intelligent safety helmet, and the apparatus is described below in connection with specific embodiments.
Fig. 1 is a schematic structural diagram of an intelligent safety helmet according to an embodiment of the present disclosure, and as shown in fig. 1, the intelligent safety helmet 100 includes: the helmet comprises a helmet body 101, a collecting device 103, a central control device 102 and a reminding device 104, wherein the collecting device 103 is arranged at the rear side of the helmet body 101, the central control device 102 is arranged in the helmet body, the reminding device 104 is arranged at the left side and/or the right side of the helmet body 101, and the collecting device 103 and the reminding device 104 are both in communication connection with the central control device 102; a helmet body 101 for protecting the head of a rider; the acquisition device 103 is used for acquiring video images of roads behind the rider; a central control device 102, configured to generate a first control instruction based on the video image; the reminding device 104 is used for reminding the rider of paying attention to the driving safety of the rider according to the first control instruction.
For example, the capturing device 103 may be a miniature camera, and after the rider wears the intelligent safety helmet 100, the capturing device 103 is turned on to continuously capture video images of the road behind the rider, and transmit the video images to the central control device 102.
After receiving the video image, the central control device 102 identifies the carriers in the image through a computer vision technology, for example, a convolutional neural network model is used for identifying the carriers in the video image, a target tracker is used for continuously tracking the targets of the carriers, and meanwhile, the distance between each carrier in the video image and a camera is calculated in real time by combining camera parameters, so that the distance between the carrier on the road behind a rider and the rider is monitored in real time. When the central control device 102 monitors that the vehicle enters the preset safe distance behind the rider, a first control instruction is generated to control the reminding device 104 to remind the rider to pay attention to the vehicle in the preset safe distance behind. The preset safe distance can be set by the rider himself.
After receiving the first control instruction generated by the central control device 102, the reminding device 104 sends an early warning signal to remind the rider, so that the rider knows that the vehicle runs within a preset safety distance behind the rider, and is alerted to endanger the running safety of the vehicle.
According to the embodiment of the disclosure, the collecting device is arranged at the rear side of the helmet body for protecting the head of a rider, the video image of the road behind the rider is collected, and then the central control device arranged inside the helmet body is used for identifying the traffic condition behind the rider in the video image so as to generate the first control instruction, so that the reminding device is controlled to remind the rider of paying attention to the running safety of the rider, and then early warning of the rider through the intelligent safety helmet is realized, the road traffic safety of the rider is improved, and the effect of the safety helmet is enriched.
Fig. 2 is a schematic structural view of an intelligent safety helmet according to another embodiment of the present disclosure. As shown in fig. 2, the acquisition device 203 includes a wide-angle camera 2031 and a speed sensor 2032; the wide-angle camera 2031 is used for collecting video images; the speed sensor 2032 is used for measuring the riding speed of the rider.
The wide-angle camera 2031 is provided at the rear side of the helmet main body 201 with the lens directed to the rear of the rider, and the photographing range of the wide-angle camera 2031 is wider than that of a general camera, so that the monitoring range of the intelligent safety helmet 200 can be increased. The wide-angle camera 2031 continuously transmits rear video images photographed in real time during riding to the central control device 202.
The speed sensor 2032 may measure the riding speed of the rider in real time, specifically, the speed sensor 2032 may be set to measure the riding speed once every predetermined period, for example, every ten seconds, and transmit the riding speed to the central control device 202, so that the central control device 202 may monitor the riding speed of the rider in real time.
According to the embodiment of the disclosure, the wide-angle camera and the speed sensor are arranged to form the acquisition device of the intelligent safety helmet, so that the intelligent safety helmet can monitor more comprehensive data, and more functions can be realized by supporting the intelligent safety helmet.
In the foregoing embodiment, the central control device 202 is specifically configured to identify a vehicle in the video image when generating the first control instruction based on the video image; determining a distance between the vehicle and the rider based on the video image; if the distance is smaller than the first preset distance, a first control instruction is generated.
For example, a preset convolutional neural network model may be configured in the central control device 202, when the central control device 202 identifies a carrier in a video image, the video image is input into the preset convolutional neural network model, the carrier in the video image is identified by using the convolutional neural network model, then the target tracker is used to continuously track the target of the carrier, and the distance between each carrier in the video image and the wide-angle camera 2031 is calculated in real time by combining the parameters of the wide-angle camera 2031, so that the effect of monitoring the distance between the rear carrier and the rider in real time is achieved. When it is detected that the distance between a certain vehicle and a rider is smaller than the first preset distance, the distance between the vehicle and the rider is too close, which may threaten the driving safety of the rider, so that a first control instruction is generated to control the reminding device 204 to remind the rider to pay attention to the vehicle.
According to the embodiment of the disclosure, the distance between the carrier and the riding person is determined based on the video image by identifying the carrier in the video image, and when the distance between the carrier and the riding person is smaller than the first preset distance, a first control instruction is generated to control the reminding device to remind the riding person that the carrier possibly affects driving safety and prevent traffic accidents.
In some embodiments, the reminder 204 includes a vibrator 2041; vibrator 2041 is configured to vibrate at a first predetermined frequency according to a first control command to alert a rider to the presence of a vehicle within a first predetermined distance behind the rider.
For example, the rider may be alerted by way of a shock. After the central control device 202 generates the first control command, the vibrator 2041 vibrates at the first preset frequency according to the received first control command, so as to remind the rider of the running vehicle within the first preset distance behind, and avoid traffic accidents caused by the fact that the rider does not notice the vehicle within the short distance behind. The first preset distance may be set by the rider, or may be set according to the shooting distance of the wide-angle camera 2031, for example, may be set to one half of the shooting distance of the wide-angle camera 2031.
In some embodiments, the reminder 204 also includes a voice player 2042; the voice player 2042 is configured to play a voice prompting the rider to have a vehicle within a first predetermined distance from the rear of the rider according to the first control command.
For example, the voice player 2042 may be a noise reduction earphone, and after the central control device 202 generates the first control command, the voice player 2042 plays the voice reminding the rider of the vehicle within the first preset distance according to the received first control command. For example, the first preset distance is 5 meters, and the reminding voice played by the voice player 2042 according to the first control command may be "detecting that the vehicle appears in five meters behind, please note".
According to the embodiment of the disclosure, the vibrator and the voice player are arranged to form the reminding device, so that the intelligent safety helmet can remind a riding person in a vibration and voice playing mode, and the flexibility of the intelligent safety helmet reminding mode is improved.
In some embodiments, the central control device 202 is further configured to determine a speed of the vehicle based on the video image; if the speed is greater than the first preset speed and the distance is smaller than the second preset distance, generating a second control instruction, wherein the second preset distance is greater than the first preset distance; the voice player 2042 is further configured to play a voice prompting the rider that the vehicle has a speed exceeding the first preset speed within a second preset distance from the rear of the rider according to the second control command.
For example, when the central control device 202 performs target tracking on the carriers in the video image by using the target tracker, the speed of each carrier is calculated according to the time and the movement track of the carrier, and when the speed of a certain carrier exceeds the first preset speed and the distance between the carrier and the rider is smaller than the second preset distance, a second control command is generated, and the voice player 2042 plays a voice reminding the rider that the carrier exceeding the first preset speed exists within the second preset distance behind the rider according to the second control command. The first preset speed may be set to a limited speed of the urban road, for example, 50km/h. Typically, the second preset distance is greater than the first preset distance to reserve more space to avoid the threat of overspeed vehicles, for example, the second preset distance may be set to 10m. The voice played may be "detect the presence of an overspeed vehicle within ten meters behind, please note.
According to the method and the device for displaying the video image, the speed of the rear carrier is determined by utilizing the video image, and when the speed exceeds the first preset speed and the carrier is located in the second preset distance of the rider, the voice is played to remind the rider that the overspeed carrier exists in the second preset distance behind the rider, so that the driving safety of the rider is improved.
In some embodiments, the central control device 202 is further configured to generate a third control instruction in response to the riding speed being greater than the second preset speed; vibrator 2041 is also used to vibrate at a second predetermined frequency in response to a third control command to alert the rider to reduce the riding speed.
For example, when the central control device 202 monitors that the riding speed measured by the speed sensor 2032 in real time exceeds the second preset speed, which indicates that the riding person is overspeed at this time, the central control device 202 generates a third control instruction to control the vibrator 2041 to vibrate at the second preset frequency, so as to remind the riding person to reduce the riding speed, and avoid traffic accidents caused by overspeed of the riding person. The second preset speed is a riding speed limit speed, typically 15km/h.
According to the embodiment of the disclosure, when the riding speed is monitored to be greater than the second preset speed, the control vibrator vibrates at the second preset frequency, so that a rider is reminded to reduce the riding speed, and traffic risks caused by overspeed of the rider are avoided.
Fig. 3 is a flowchart of a driving safety pre-warning method provided by an embodiment of the present disclosure, where the driving safety pre-warning method is performed by the intelligent safety helmet of the above embodiment, and the method includes the following steps:
s101, collecting video images of roads behind pedestrians.
Referring to fig. 1, the capturing device 103 captures a video image of the road behind the rider and transmits the video image to the central control device 102.
S102, generating a first control instruction based on the video image.
The central control device 102 generates a first control command based on the video image, and sends the first control command to the reminding device 104, and the specific application of the first control command is referred to above in the embodiment of the intelligent safety helmet.
S103, reminding the rider of paying attention to the driving safety of the rider according to the first control instruction.
The reminding device 104 receives the first control instruction and reminds the rider to pay attention to the driving safety of the rider according to the first control instruction.
The implementation principle and technical effects of the driving safety early warning method shown in fig. 3 are similar to those of the above-mentioned intelligent safety helmet embodiment, and are not repeated here.
On the basis of the embodiment, the method further comprises: the riding speed of the rider is measured.
On the basis of the above embodiment, generating the first control instruction based on the video image includes: identifying a carrier in the video image; determining a distance between the vehicle and the rider based on the video image; if the distance is smaller than the first preset distance, a first control instruction is generated.
On the basis of the above embodiment, reminding the rider of paying attention to own driving safety according to the first control instruction includes: vibrating at a first preset frequency according to a first control instruction so as to remind a rider of the existence of a carrier within a first preset distance behind the rider.
On the basis of the above embodiment, reminding the rider of paying attention to own driving safety according to the first control instruction includes: according to the first control instruction, playing voice for reminding the rider of the existence of the carrier within a first preset distance behind the rider.
On the basis of the embodiment, the method further comprises: determining a speed of the vehicle based on the video image; if the speed is greater than the first preset speed and the distance is smaller than the second preset distance, generating a second control instruction, wherein the second preset distance is greater than the first preset distance; according to the second control instruction, playing the voice reminding the driver of the existence of the carrier exceeding the first preset speed within the second preset distance behind the driver.
On the basis of the embodiment, the method further comprises: generating a third control instruction in response to the riding speed being greater than the second preset speed; vibrating at a second preset frequency according to a third control instruction so as to remind a rider to reduce the riding speed.
The implementation principle and the technical effects of the driving safety early warning method described in the above method embodiment are similar to those of the above intelligent safety helmet embodiment, and are not repeated here.
In addition, the embodiment of the disclosure further provides a computer readable storage medium, on which a computer program is stored, and the computer program is executed by a processor to implement the traffic safety early warning method of the above embodiment.
It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing is merely a specific embodiment of the disclosure to enable one skilled in the art to understand or practice the disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown and described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An intelligent safety helmet, comprising:
the helmet comprises a helmet body, a collecting device, a central control device and a reminding device, wherein the collecting device is arranged at the rear side of the helmet body, the central control device is arranged inside the helmet body, the reminding device is arranged at the left side and/or the right side of the helmet body, and the collecting device and the reminding device are both in communication connection with the central control device;
the helmet body is used for protecting the head of a rider;
the acquisition device is used for acquiring video images of roads behind the riding person;
the central control device is used for generating a first control instruction based on the video image;
the reminding device is used for reminding the rider of paying attention to the driving safety of the rider according to the first control instruction.
2. The intelligent safety helmet of claim 1, wherein the acquisition device comprises a wide angle camera and a speed sensor;
the wide-angle camera is used for acquiring the video image;
the speed measuring sensor is used for measuring the riding speed of the rider.
3. The intelligent safety helmet of claim 2, wherein the central control device is configured to identify a vehicle in the video image when generating a first control command based on the video image; determining a distance between the vehicle and the rider based on the video image; and if the distance is smaller than a first preset distance, generating the first control instruction.
4. A smart safety helmet according to claim 3, wherein the reminder device comprises a vibrator;
the vibrator is used for vibrating at a first preset frequency according to the first control instruction so as to remind the rider of the existence of the carrier within a first preset distance behind the rider.
5. The intelligent security helmet of claim 3 wherein the reminder device further comprises a voice player;
the voice player is used for playing voice reminding the riding person of the existence of the carrier within a first preset distance according to the first control instruction.
6. The intelligent safety helmet of claim 5, wherein the central control apparatus is further configured to determine a speed of the vehicle based on the video image; if the speed is greater than a first preset speed and the distance is smaller than a second preset distance, generating a second control instruction, wherein the second preset distance is greater than the first preset distance;
the voice player is further used for playing and reminding the driver of the existence of the voice of the carrier exceeding the first preset speed within the second preset distance behind the driver according to the second control instruction.
7. The intelligent safety helmet of claim 4, wherein the central control device is further configured to generate a third control command in response to the riding speed being greater than a second preset speed;
the vibrator is further used for vibrating at a second preset frequency according to the third control instruction so as to remind the rider of reducing the riding speed.
8. A traffic safety pre-warning method, applicable to the intelligent safety helmet according to any one of claims 1 to 7, comprising:
collecting video images of roads behind pedestrians;
generating a first control instruction based on the video image;
reminding the rider of paying attention to the driving safety of the rider according to the first control instruction.
9. The method of claim 8, wherein the method further comprises:
and measuring the riding speed of the rider.
10. A computer readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, implements the method according to any of claims 8-9.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211550951.7A CN116211008A (en) | 2022-12-05 | 2022-12-05 | Intelligent safety helmet, driving safety early warning method and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211550951.7A CN116211008A (en) | 2022-12-05 | 2022-12-05 | Intelligent safety helmet, driving safety early warning method and storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN116211008A true CN116211008A (en) | 2023-06-06 |
Family
ID=86589894
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211550951.7A Pending CN116211008A (en) | 2022-12-05 | 2022-12-05 | Intelligent safety helmet, driving safety early warning method and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116211008A (en) |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN206949619U (en) * | 2016-11-23 | 2018-02-02 | 深圳市宝佳利运动器材有限公司 | Intelligent safety helmet with non-security spacing alarm function |
CN113192331A (en) * | 2021-04-26 | 2021-07-30 | 吉林大学 | Intelligent early warning system and early warning method for riding safety in internet environment |
CN113491370A (en) * | 2021-07-31 | 2021-10-12 | 浙江工业大学 | Intelligent safety helmet system based on raspberry group |
CN113888901A (en) * | 2021-09-29 | 2022-01-04 | 英华达(南京)科技有限公司 | Intelligent safe driving reminding device and method and helmet |
CN114954756A (en) * | 2022-05-18 | 2022-08-30 | 重庆利龙中宝智能技术有限公司 | AR-HMD-based intelligent helmet blind area detection system and method |
CN115047441A (en) * | 2022-06-10 | 2022-09-13 | 北京释限创新科技有限公司 | Early warning method and device for riding helmet, storage medium and riding helmet |
-
2022
- 2022-12-05 CN CN202211550951.7A patent/CN116211008A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN206949619U (en) * | 2016-11-23 | 2018-02-02 | 深圳市宝佳利运动器材有限公司 | Intelligent safety helmet with non-security spacing alarm function |
CN113192331A (en) * | 2021-04-26 | 2021-07-30 | 吉林大学 | Intelligent early warning system and early warning method for riding safety in internet environment |
CN113491370A (en) * | 2021-07-31 | 2021-10-12 | 浙江工业大学 | Intelligent safety helmet system based on raspberry group |
CN113888901A (en) * | 2021-09-29 | 2022-01-04 | 英华达(南京)科技有限公司 | Intelligent safe driving reminding device and method and helmet |
CN114954756A (en) * | 2022-05-18 | 2022-08-30 | 重庆利龙中宝智能技术有限公司 | AR-HMD-based intelligent helmet blind area detection system and method |
CN115047441A (en) * | 2022-06-10 | 2022-09-13 | 北京释限创新科技有限公司 | Early warning method and device for riding helmet, storage medium and riding helmet |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP6699831B2 (en) | Driving awareness estimation device | |
EP3316231B1 (en) | Alert generation correlating between head mounted imaging data and external device | |
JP5179686B2 (en) | Driving behavior risk calculation device | |
JP7099037B2 (en) | Data processing equipment, monitoring system, awakening system, data processing method, and data processing program | |
CN101968917B (en) | Vehicle-mounted warning apparatus | |
CN104200542A (en) | Vehicle pre-warning method, vehicle pre-warning device, terminal and travelling data recorder | |
US9834221B2 (en) | Driver attentiveness detection method and device | |
JP6273823B2 (en) | State estimation device and state estimation program | |
CN105984407B (en) | Situation monitoring and alarming device after a kind of vehicle | |
JP4622749B2 (en) | Vehicle data collection device, vehicle driving support device, and vehicle safe driving support system | |
JP3183594B2 (en) | Potential hazard detection device for automobiles | |
JP2007072570A (en) | Inattentive driving deciding device | |
WO2019155913A1 (en) | Data processing device, monitoring system, alertness system, data processing method, data processing program, and storage medium | |
US11170650B2 (en) | System for vehicle monitoring and alerting | |
CN109435844A (en) | A kind of driving auxiliary and drivers ' behavior detection method | |
CN109383371A (en) | A kind of ADAS product driveway deviation alarming system | |
Smirnov et al. | Smartphone-based identification of dangerous driving situations: Algorithms and implementation | |
JP2005080970A (en) | Mind and body condition determining device for driver, and driving support apparatus for driver | |
JP2019125153A (en) | Safe driving assist unit and helmet | |
WO2019155914A1 (en) | Data processing device, monitoring system, alertness system, data processing method, data processing program, and storage medium | |
JP3379247B2 (en) | Snooze alarm | |
Mizuno et al. | Detecting driver's visual attention area by using vehicle-mounted device | |
CN116211008A (en) | Intelligent safety helmet, driving safety early warning method and storage medium | |
JP2019195376A (en) | Data processing device, monitoring system, awakening system, data processing method, and data processing program | |
CN110287838B (en) | Method and system for monitoring behaviors of driving and playing mobile phone |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |