CN113298977A - Agitating lorry monitoring system based on image recognition technology and calibration installation method - Google Patents
Agitating lorry monitoring system based on image recognition technology and calibration installation method Download PDFInfo
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Abstract
The invention provides a mixer truck monitoring system based on an image recognition technology and a calibration installation method, which relate to the technical field of special operation vehicle safety and vehicle-mounted video monitoring, and comprise the following steps: the vehicle-mounted active safety monitoring host comprises: the image acquisition module comprises image acquisition equipment and is used for acquiring specific video monitoring image signals through a photosensitive device; the device comprises an image recognition module, a monitoring display module and a voice prompt module. The invention can greatly improve the use and management efficiency of drivers and terminal clients, and supports local manual calibration, remote client calibration and parameter batch issuing, so that the complicated calibration work is more convenient and efficient.
Description
Technical Field
The invention relates to the technical field of special operation vehicle safety and vehicle-mounted video monitoring, in particular to a stirring vehicle monitoring system based on an image recognition technology and a calibration installation method.
Background
At present, most concrete companies are dispatched by manual experience, and installation is carried out by using a mechanical welding mode.
The control capacity to goods material is limited, and the concrete characteristics are as follows:
1. once the concrete is loaded with the vehicle and begins to run, concrete enterprises cannot effectively monitor the vehicle, and meanwhile, the enterprises cannot monitor whether the vehicle of a driver is overspeed or not, and the vehicle is unloaded according to scheduling requirements.
2. For how to ensure that the vehicle has to unload in the best time, the manual operation such as an effective scheduling mechanism, telephone notification for scheduling operation and the like is lacked, which causes time consumption, mishaps and low efficiency. The management of vehicles information, the distance between vehicles, the real-time state of road traffic, the real-time basis of departure of vehicles, the unsmooth information of the vehicle operation state of each construction site, the untimely scheduling of vehicles, the queuing of vehicles and the like during the operation of the vehicles cause the low utilization rate of the use resources of the vehicles.
3. Enterprises cannot monitor the concrete vehicle driving route in real time, the controllable cost cannot be reduced, and the quality of concrete is not guaranteed due to uncertain working state of the mixer truck, which is also one of the troubles of the concrete industry.
The stirring state detection mode of the stirring truck popular in the market at present mostly adopts a positive and negative rotation sensor as a main detection means, and the Chinese utility model patent with the publication number of CN209615990U discloses a positive and negative rotation detection device of a concrete stirring truck, wherein the system comprises a positive and negative rotation detection module, a GPRS positioning module, a control circuit and a LoRa node module; the positive and negative rotation detection module is used for monitoring the positive and negative rotation state of the stirring cylinder and transmitting the monitored information to the control circuit; the GPRS positioning module is used for positioning the mixer truck and transmitting new information to the control circuit module; the control circuit module receives information transmitted by the forward and reverse rotation monitoring module and the GPRS positioning module and transmits the information to the LoRa node module; and the LoRa node module receives the information transmitted by the control circuit and then transmits the information to the network terminal. The operation condition of the mixing cylinder is detected through the positive and negative rotation monitoring module of the mixing cylinder of the concrete mixing truck, and the vehicle dispatching quantity and the running route are recorded through the GPRS.
The prior art similar to the above adopts a positive and negative rotation detection peripheral, the peripheral comprises a Hall sensor and magnetic teeth, the peripheral of the sensor needs to be provided with holes for welding, and the requirements on site construction environment and conditions are high. Meanwhile, the magnetism of the sensor magnet is easy to age and demagnetize along with the prolonging of the service time.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a mixer truck monitoring system based on an image recognition technology and a calibration installation method.
According to the agitating lorry monitoring system based on the image recognition technology and the calibration installation method provided by the invention, the scheme is as follows:
in a first aspect, a mixer truck monitoring system based on an image recognition technology is provided, the system comprises a vehicle-mounted active safety monitoring host, and the vehicle-mounted active safety monitoring host comprises:
an image acquisition module: the system comprises image acquisition equipment, a video monitoring device and a video monitoring device, wherein the image acquisition equipment acquires a specific video monitoring image signal through a photosensitive device;
an image recognition module: sending the specific video image signal acquired by the image acquisition module to an image recognition processing module, and comparing and judging the signal type according to the set model parameter;
a monitoring display module: the video monitoring signals acquired by the image acquisition module are converted and then displayed in real time through a display device;
the voice prompt module: the system is linked with the image recognition module and the monitoring display module, and after the signals collected by the image recognition module are matched with the set model parameters, the system reminds a driver of the current material loading rotation state by adopting a voice prompt mode after the first signal matching, and meanwhile, the load state can be superposed on the display module through OSD.
Preferably, the model parameters in the image recognition module are pre-trained video image models, including relevant signals including forward signals, reverse signals and stall signals acquired by the video acquisition module;
and the image identification module compares the signal type acquired by the image acquisition module with a preset image model signal, judges the signal type and outputs the signal type.
Preferably, the system realizes the multimedia information prompting function in a multi-system module linkage mode;
the image acquisition module also comprises a pre-processing module, an image algorithm model and an image comparison and signal processing output module.
Preferably, the image preprocessing module: carrying out preprocessing including backlight compensation, strong light suppression and brightness adjustment on the video signals acquired by the image conversion sub-module, and outputting the video signals;
an image algorithm model: the method comprises the steps that a pre-trained video model library is provided, and a model database comprises collected forward signals, reverse signals and stall signals and provides library resource support for an image recognition module;
the image comparison and signal processing output module: and comparing and processing the image signal converted and output by the image preprocessing module with a pre-trained video algorithm model library.
Preferably, the system further comprises a remote client, an operation and maintenance treasure, a cloud server, and local real-time display and voice prompt;
the remote client can perform data communication with the cloud server according to a set protocol;
the remote client can perform data communication with the vehicle-mounted active safety monitoring host according to a set protocol;
the operation and maintenance treasure can be in data communication with the vehicle-mounted active safety monitoring host according to a protocol;
the cloud server can preview, playback, store and transmit video information recorded by the vehicle-mounted active safety host, and can perform method feedback according to a set communication protocol.
Preferably, the vehicle-mounted active safety monitoring host further comprises any one or more of a video mode control module, a storage module, a GPS positioning module, a WiFi module and a 4G module;
a video mode control module: the video information acquired by the image acquisition module is connected with a local vehicle-mounted display, and the video information is matched with the local vehicle-mounted display to display the vehicle running state information and the display end in a set video mode;
a storage module: the set audio and video information is stored, and the detachable mobile portable characteristic is realized;
a GPS positioning module: the method comprises the steps of acquiring vehicle position information and position-related additional information in real time, sending the acquired information to a cloud server and a vehicle-mounted active safety monitoring host, and updating according to set logic;
a WiFi module: the active serial port equipment networking is realized, namely, the equipment actively initiates connection, and data interaction is carried out with a background server;
a 4G module: and the communication connection among the vehicle-mounted active safety monitoring host machine end, the remote client and the cloud server according to a preset protocol is realized.
Preferably, the image acquisition device in the image acquisition module comprises an AHD digital surveillance camera, and the AHD digital surveillance camera requires starlight level, 3D-NR, motion detection, and DWR functions.
In a second aspect, a mixer truck monitoring calibration installation method based on an image recognition technology is provided, and the method includes:
step S1: preparing a camera with wide dynamic effect and a fortune and maintenance treasure;
step S2: fixing a camera in front of a wheel disc of a stirring tank of a stirring truck;
step S3: adjusting the installation angle of the camera by the fortune dimension treasure to enable the angle of the camera to be in a positive image and irradiate a stirring tank wheel disc of the stirring truck;
step S4: and collecting the rotation direction of a stirring tank wheel disc of the stirring vehicle.
Preferably, the method further comprises a local manual calibration step and a remote client automatic calibration step;
the local manual calibration step comprises the following steps:
step 1.1: installing a Mini display screen and a TTS loudspeaker;
step 1.2: a vehicle-mounted active safety monitoring host acquires a camera image;
step 1.3: the vehicle-mounted active safety host acquires the rotation direction of a stirring tank wheel disc of the stirring vehicle;
step 1.4: calibrating the rotation direction;
step 1.5: OSD superposition marking, and storing in a database;
step 1.6: generating calibration data;
step 1.7: synchronously uploading the calibration data to an operation and maintenance treasure or a cloud server for storage;
step 1.8: and finishing calibration.
Preferably, the remote client automatically calibrating step includes:
step 2.1: inputting vehicle information;
step 2.2: a vehicle-mounted active safety monitoring host acquires a calibration image;
step 2.3: the vehicle-mounted active safety monitoring host transmits the camera image to a remote client service platform through a 4G network module;
step 2.4: a remote client service platform acquires a calibration image;
step 2.5: generating calibration data;
step 2.6: uploading the calibration data to an operation and maintenance treasure or a cloud server;
step 2.7: the server side issues parameters in batches;
step 2.8: and finishing calibration.
Compared with the prior art, the invention has the following beneficial effects:
1. aiming at the technical defect of the service life of a sensor in the prior art, the scheme can overcome the defect, avoids the problem that the sensor cannot be used due to the aging of equipment in the prior art, has higher replacement cost of the aging of the equipment, replaces the physical mechanical installation mode by the whole system in the scheme to distinguish positive and negative rotation information through the image recognition technology, integrates the positive and negative rotation, the operation and maintenance treasure, the remote client and the GPS into a whole, and increases the flexibility, the simplicity and the practicability of the system;
2. the invention also provides possibility for enterprise managers to remotely check and receive information in real time, thereby improving scheduling flexibility and production transportation management efficiency. Through remote issuing, the client can realize remote batch calibration, and the system installation efficiency and operability are improved. The mixer truck monitoring system is convenient to operate, low in cost and low in maintenance cost. Specifically, the method comprises the following steps:
(1) providing a real-time stirring state monitoring state by adopting an AHD digital high-definition camera right in front of the stirring tank;
(2) the rotation state is displayed in a real-time overlapping mode through a Mini display screen and is overlapped into a recorded video, so that a client can conveniently check the video;
(3) the local voice prompts the current rotation state of the driver through TTS horn voice;
(4) by monitoring the host monitoring module and the remote client, local manual calibration and remote client automatic calibration are realized, the field installation calibration trouble is eliminated, and the calibration efficiency is improved;
(5) the voice and video superposition prompting effect is realized through the image acquisition module, the image recognition module, the monitoring display module and the voice prompting module;
(6) through the platform server, the data interaction of the information of the vehicle monitoring host and the remote client according to the protocol is realized;
(7) through the remote client, the interaction of remote preview, playback, downloading and uploading information data is realized, and the functions of the host terminal are set and the images are calibrated, so that the usability and the practicability are greatly improved.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a process schematic of the present invention;
FIG. 2 is a hardware schematic of the present invention;
FIG. 3 is a flow chart of an image algorithm of the present invention;
FIG. 4 is a calibration flow chart of the present invention;
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
The embodiment of the invention provides a mixer truck monitoring system based on an image recognition technology, which comprises a vehicle-mounted active safety monitoring host: the vehicle-mounted monitoring host comprises an image acquisition module, an image recognition module, a monitoring display module and a voice prompt module. The image acquisition module comprises image acquisition equipment and is used for acquiring specific video monitoring image signals through a photosensitive device; the image recognition module can send the specific video image signals collected by the image collection module to the image recognition processing module, and the signal types are judged according to the comparison of the set model parameters.
The image recognition module compares the signal type acquired by the acquisition module with a preset image model signal, judges the signal type and outputs the signal type; the monitoring display module can convert the video monitoring signals acquired by the image acquisition module and then display the converted video monitoring signals in real time through a display device; the voice prompt module can be linked with the image recognition module and the video display module, and after the signal collected by the image recognition module is matched with the preset model signal, the system can remind a driver of the current material carrying rotation state by adopting a voice prompt mode after the first signal is matched, and meanwhile, the OSD (on-screen display) load state can be displayed on the display module.
The system realizes the multimedia information prompt function in a multi-system module linkage mode, and the image acquisition module further comprises a pre-processing module, an image algorithm model and an image comparison and signal processing output module; the image pre-processing module can perform pre-processing such as backlight compensation, strong light inhibition, brightness adjustment and the like on the video signals acquired by the image conversion sub-module and output the video signals; the image algorithm model is a pre-trained video model library, and the model database comprises but is not limited to collected forward signals, reverse signals and stall signals and provides library resource support for the identification module; the image comparison and signal processing output module can compare and process the image signal converted and output by the image preprocessing module with a pre-trained video algorithm model base.
The agitating lorry monitoring system based on the image recognition technology further comprises a remote client, an operation and maintenance treasure, a cloud server and local real-time display and voice prompt, wherein the remote client can be in data communication with the cloud server according to a set protocol; the remote client can carry out data communication according to a set protocol with the vehicle-mounted active safety monitoring host; the operation and maintenance treasure can be in data communication with the vehicle-mounted active safety monitoring host according to a protocol; the cloud server can preview, playback, store and transmit video information recorded by the vehicle-mounted active safety host, and can perform method feedback according to a set communication protocol.
The vehicle-mounted active safety monitoring host terminal further comprises any one or a plurality of combinations of a video mode control module, a storage module, a GPS positioning module, a WiFi module and a 4G module.
The video mode control module can connect the video information acquired by the image acquisition module with a local vehicle-mounted display, and the video information is matched with the local vehicle-mounted display to display the vehicle running state information and the display end in a set video mode; the storage module can store set audio and video information and has the characteristics of being detachable, movable and portable; the GPS positioning module can acquire vehicle position information and position related additional information in real time, and sends the acquired information to the cloud server and the vehicle-mounted active safety monitoring host and updates according to set logic; the WiFi module can realize the networking of active serial port equipment, namely, the equipment actively initiates connection, and performs data interaction with a background server; the 4G module can realize communication connection among a vehicle-mounted active safety monitoring host machine end, a remote client and a cloud server according to a preset protocol; the image acquisition module comprises an AHD digital monitoring camera, and the AHD digital monitoring camera is required to have the functions of starlight level, 3D-NR, mobile detection and DWR.
The embodiment of the invention also provides a monitoring calibration installation method of the mixer truck based on the image recognition technology, which comprises the following steps:
step S1: preparing a camera with wide dynamic effect and a fortune and maintenance treasure;
step S2: fixing a camera in front of a wheel disc of a stirring tank of a stirring truck;
step S3: adjusting the installation angle of the camera by the fortune dimension treasure to enable the angle of the camera to be in a positive image and irradiate a stirring tank wheel disc of the stirring truck;
step S4: and collecting the rotation direction of a stirring tank wheel disc of the stirring vehicle.
The method further comprises a local manual calibration step and a remote client automatic calibration step, wherein the local manual calibration step comprises the following steps:
step 1.1: installing a Mini display screen and a TTS loudspeaker;
step 1.2: a vehicle-mounted active safety monitoring host acquires a camera image;
step 1.3: the vehicle-mounted active safety host acquires the rotation direction of a stirring tank wheel disc of the stirring vehicle;
step 1.4: calibrating the rotation direction;
step 1.5: OSD superposition marking, and storing in a database;
step 1.6: generating calibration data;
step 1.7: synchronously uploading the calibration data to an operation and maintenance treasure or a cloud server for storage;
step 1.8: and finishing calibration.
The automatic calibration step of the remote client comprises the following steps:
step 2.1: inputting vehicle information;
step 2.2: a vehicle-mounted active safety monitoring host acquires a calibration image;
step 2.3: the vehicle-mounted active safety monitoring host transmits the camera image to a remote client service platform through a 4G network module;
step 2.4: a remote client service platform acquires a calibration image;
step 2.5: generating calibration data;
step 2.6: uploading the calibration data to an operation and maintenance treasure or a cloud server;
step 2.7: the server side issues parameters in batches;
step 2.8: and finishing calibration.
The invention relates to the field of special operation vehicle driving safety and production efficiency improvement, aims to solve the problems of difficult scheduling, low production efficiency, driving safety improvement, low cost, convenience and practicability of a special operation vehicle by using an image recognition technology, and provides audio and video multimedia information presentation for a driver. The system comprises an image acquisition preprocessing module, an image algorithm model, a signal comparison output module, an image recognition module, a monitoring display module and a voice prompt module. The invention integrates a plurality of advanced image processing technologies, and has the characteristics of low requirement on hardware environment, convenient installation, portability and high performance.
The invention provides a monitoring system which has the advantages of providing visual audio-video prompt for the driving safety of special operation vehicles and improving the production efficiency. The system comprises a vehicle-mounted active safety monitoring host, a remote client, a fortune and maintenance treasure, a cloud server, a Mini display screen, a TTS loudspeaker, an external digital camera and an internal active safety monitoring camera, wherein the external digital camera and the internal active safety monitoring camera are connected with the vehicle-mounted active safety monitoring host. The digital camera is installed in the right-ahead positive image rotating wheel disc of the stirring tank and is used for collecting the rotating direction of the rotating wheel disc, displaying the rotating direction at the Mini display end, and simultaneously broadcasting the rotating state through a TTS (text to speech) loudspeaker to realize the visual monitoring system for audio and video prompt collection.
Vehicle-mounted active safety monitoring host: 1. the camera is used for a video monitoring image acquisition module, and the image acquisition module acquires video from an external stirring tank monitoring digital camera and an internal active safety camera. The forward and reverse rotation state monitoring is from a digital camera for monitoring the external stirring tank. 2. And the image preprocessing module is used for image correction, noise reduction, brightness adjustment and color restoration. 3. The identification module is used for identifying and marking the image; 4. a GPS module for real-time position display tracking; 5. the storage module is used for video storage and backup; 5. and the logic control module is used for audio and video superposition, coding integration and decoding playback.
The remote client comprises an Android mobile phone end, an IOS mobile phone end, a Pad end, a PC computer end and the like, and is used for carrying out data communication with the server end, wherein the data communication comprises remote calibration of the remote client, an information service request is sent, and related service information is received:
the operation and maintenance treasure is connected with the active safety monitoring host equipment through a USB interface, and meanwhile, a mobile terminal (a mobile phone and a Pad) is connected with the video monitoring terminal equipment through WiFi to carry out data communication of relevant parameters. The operation and maintenance treasure can control, modify and correct equipment parameters by carrying out data interaction with the vehicle-mounted active safety monitoring host. The quantity of the personnel can be conveniently calibrated by saving the installation, and the calibration parameters, the camera installation position and the like can be adjusted in real time by using the operation and maintenance treasure when the automobile moves outside.
The cloud server is used for previewing, replaying and storing real-time data information of the monitoring host and the remote client in real time, communicating according to a set standard protocol, receiving and processing request information of the vehicle-mounted active safety monitoring host and the remote client, making a specified action and feeding back according to the protocol.
The local Mini is used for the display to receive data transmitted by the vehicle-mounted active safety monitoring host end and display the data in real time, and can display the current rotation state and present OSD superimposed contents. The TTS loudspeaker is used for feeding back a rotation state signal sent out by the vehicle-mounted active safety monitoring host after being processed by the voice feedback host and presenting the rotation state signal to a driver in an audio mode.
The image acquisition module acquires image data which is divided into scene monitoring video data inside and outside the vehicle according to the installation position of the camera. Furthermore, a camera for acquiring monitoring data of the outside scene of the vehicle supports functions of star level, 3D-NR, mobile detection and DWR for a high-definition digital camera, and an acquired image signal at least meets 720P resolution, has an angle not lower than 90 degrees and supports an image rotation function.
The invention aims to solve the problem of complaints, provides one or more functions integrated, is low in cost, convenient and practical, and is suitable for monitoring systems of special operation vehicles such as large-scale agitating trucks, muck trucks and the like.
Next, the present invention will be described in more detail.
The utility model provides a trucd mixer monitored control system based on image recognition technology which characterized in that, includes on-vehicle initiative safety monitoring host computer, remote client, fortune dimension is precious, high in the clouds server, Mini display.
Vehicle-mounted active safety monitoring host computer comprises: the system comprises a camera, a Mini display, a vehicle-mounted extension line, a TTS loudspeaker, an image acquisition module, a calibration module, a GPS positioning module, a storage module, a communication module and the like.
And the image acquisition module is used for acquiring the rotation state information of the vehicle tank body and the driving state auxiliary information of an internal driver. According to the installation position of the camera, the acquired image data is divided into vehicle interior scene monitoring data and vehicle exterior scene monitoring data.
The image acquisition module comprises image acquisition equipment and is used for acquiring specific video monitoring image signals through a photosensitive device; the image recognition module can send specific video image signals collected by the image collection module to the image recognition processing module, and the signal types including forward signals, reverse signals, stall signals and the like collected by the video collection module are judged according to set model parameter comparison. The image recognition module compares the signal type acquired by the acquisition module with a preset image model signal, judges the signal type and outputs the signal type; the monitoring display module can show the video monitoring signal that image acquisition module gathered through display device in real time after the conversion, and voice prompt module can link with image recognition module and video display module, and after the signal that image recognition module gathered and preset the model signal phase-match, the system will adopt the voice prompt mode to remind the driver to carry the material at present and rotate the state after the signal matching for the first time, can be at display module OSD stack load state simultaneously.
The system also comprises a multi-system module linkage mode for realizing the multimedia information prompt function, and the image acquisition module also comprises a pre-processing module, an image algorithm model and an image comparison and signal processing output module; the image pre-processing module can perform pre-processing such as backlight compensation, strong light inhibition, brightness adjustment and the like on the video signals acquired by the image conversion sub-module and output the video signals; the image algorithm model is a pre-trained video model library, and the model database comprises but is not limited to collected forward signals, reverse signals and stall signals and provides library resource support for the identification module; the image comparison and signal processing output module can compare and process the image signal converted and output by the image preprocessing module with a pre-trained video algorithm model base.
The system further comprises a remote client, an operation and maintenance treasure, a cloud server, local real-time display and voice prompt. The remote client can perform data communication with the cloud server according to a set protocol; the remote client can carry out data communication according to a set protocol with the vehicle-mounted active safety monitoring host; the operation and maintenance treasure can be in data communication with the vehicle-mounted active safety monitoring host according to a protocol; the cloud server can preview, playback, store and transmit video information recorded by the vehicle-mounted active safety host, and can perform method feedback according to a set communication protocol.
The purpose and technical solutions of the present invention will be described more fully and clearly with reference to the accompanying drawings.
Referring to fig. 1, a process schematic diagram of the present invention is shown, which includes a vehicle-mounted active safety monitoring host system, a GPS positioning system, a cloud server, a mobile client, and a customer mixer truck system.
The vehicle-mounted active safety monitoring host system comprises an active safety camera, a Mini display, an audible and visual alarm, a rear-view camera and a TTS loudspeaker. The active security camera comprises an ADAS camera and a DSM camera. And the ADAS camera is arranged in front of a front windshield in vehicle driving and is used for detecting LDW, HMW and FCW. The resolution is not lower than 720P, the angle is horizontal 60 degrees, the mounting position is the best in the middle of the windshield of the locomotive, and the left and right positions are 15 cm. The DSM camera is installed in front of a driver, takes the right and left sides of a driving position not more than 30 degrees as an optimal installation position, the resolution ratio is not lower than 720P, and the horizontal angle is 60 degrees. The camera adopts a full black-white mode by default, a 940nm optical filter is arranged in the camera, invisible infrared light is effectively isolated, and algorithm identification is more accurate. The method is used for detecting fatigue driving, calling, smoking and the like of a driver.
Particularly, the active safety camera can be optionally provided with a BSD function and is combined with an audible and visual alarm to play the roles of blind area identification and alarm. The three active safety cameras ADAS, DSM and BSD can be freely collocated according to customer selection. Namely, the maximum value can be three to three.
Referring to fig. 2, a hardware connection diagram is shown, which includes an active security camera, an AHD camera, an ARM processor, an MCU, a 4G network module, a storage module, a WiFi module, an IO communication, and the like. And forming a hardware circuit required by the vehicle-mounted active safety monitoring host system. The software is matched with an H.265 video coding and decoding technology to realize the recording, storage and playback of the analog high-definition video. By combining the 3G/4G wireless transmission technology and the GPS/BD positioning technology, the real-time uploading of video recording, automobile driving information, driving behavior analysis and alarm evidence uploading can be realized. The vehicle can be remotely monitored, remotely analyzed and processed in real time through the control center.
Referring to fig. 3, a flowchart of an image recognition algorithm is shown, which includes: the device comprises an image acquisition module, an image recognition module, a monitoring display module and a voice prompt module.
As is obvious from the figure, the image acquisition module in the system comprises: the device comprises a preprocessing module, an image algorithm model and a signal processing module.
Example 1:
in this embodiment, a 1-way high definition camera and a built-in Mini display are used to implement the functions of the present invention.
Referring to the camera showing the multi-path image acquisition module in fig. 2, taking a stirring monitoring camera as an example outside the vehicle, the vehicle active safety camera and the camera inside the vehicle can be selected and freely combined according to different vehicle types and requirements.
The stirring monitoring camera transmits acquired video data to the processor, the video module in the processor performs coding and decoding preprocessing, image enhancement and post processing on the video data, sends the video data into the system to be matched and analyzed with the algorithm model, and finally transmits the video data to the Mini display screen for displaying and previewing, and performs state display and voice prompt.
Example 2:
in the embodiment, the functions of the invention are realized by adopting a 1-path high-definition mixer truck monitoring camera and a BSD system.
For the monitoring of the mixer truck with blind areas, a BSD blind area monitoring camera system needs to be matched except for adopting a rotary state monitoring camera of the mixer truck all the way. Comprises a path of BSD camera and an audible and visual alarm. The BSD blind area monitoring camera system BSD camera is a super wide-angle camera. The camera supports starlight level, motion detection and DWR, an image signal collected by the IP67 at least meets 720P resolution, the angle is not less than 150 degrees, and the camera supports image rotation and starlight full-color functions. The audible and visual alarm has the characteristics of high brightness, strong penetrating power and strong visibility. The contact sound intensity is at least 110dB, and the built-in voice chip burns alarm content in advance.
The BSD camera is arranged on the right front side of the vehicle, the installation height is more than 2.5m, and the angle adjustment is slightly downward and outward. The BSD camera needs to be calibrated after being installed: the calibration comprises the following substeps:
step 1: and calibrating the calibration interface, wherein the calibration interface comprises the installation height of the camera, the type of the camera and the installation position of the camera. And in the calibration process, the position of the camera can be finely adjusted, and the position under the identified picture is coincided with the edge of the vehicle body and the reference line of the vehicle body.
Step 2: dragging to the left, wherein the calibration personnel drag the left area line to the position under the feet of the calibration personnel at the 2m of the vehicle head.
And step 3: dragging to the right, standing the calibration personnel at the right rear side of the vehicle body and 6-7 meters away from the installation position of the camera, and dragging the calibration frame to the position below the feet of the calibration personnel. And clicking a 'save' button, and finishing calibration after successful saving.
And 4, step 4: and the audible and visual alarm is connected, the audible and visual alarm communication interface is connected with the RS485 serial port of the equipment, and the ACC is taken from the power supply.
And 5: and the calibration personnel enter the calibration frame and confirm that the alarm is given, namely the calibration is finished.
Due to the length and the appearance difference of the mixer truck, the installation heights of the BSD cameras are slightly different, but the calibration steps are the same. The embodiment combines forward and reverse rotation state monitoring and vehicle blind area monitoring of the mixer truck by adopting an image recognition technology, expands an industry simplification detection scheme to a multidimensional solution, and provides a state monitoring scheme which can be selected by various combinations of customers.
Example 3:
referring to FIG. 4, a flow chart of an image recognition implementation of the present invention is presented.
The image acquisition module acquires the state image information of the mixer truck through the mixer truck monitoring camera and carries out coding transmission on the information, video monitoring image data is transmitted to the video processing module, and the video module transmits the image data to the Mini display for display after storing the received video data.
The vehicle-mounted active safety monitoring host is connected with the operation and maintenance treasure through WiFi, and monitoring pictures can be previewed in real time through the operation and maintenance treasure. Particularly, image calibration can be performed on a local host through the operation and maintenance treasure, and information inquiry and equipment maintenance such as vehicle-mounted active safety monitoring host setting, video and the like can be performed. The GPS positioning module is used for positioning the travelling crane, acquiring travelling crane information and sending the acquired information to the platform. The platform server is an integrated server such as a local server of a user branch company, a technical support operation and maintenance server, a third-party cloud server and the like. And the platform end receives and stores the data transmitted by the central control host end in real time and feeds back the data to the remote client end according to the data protocol defined by calibration.
The platform server side of the embodiment mainly has the functions of data storage, remote preview, playback, data processing and remote service. The data storage mainly stores data such as vehicle track information, driver information, active safety alarm information, rotation state report information and the like. The data processing mainly filters, analyzes and feeds back the stored data.
The remote client can realize remote information communication by being linked with the platform server, thereby realizing related setting and remote processing of video information.
The invention improves the conventional positive and negative rotation detection principle, uses an advanced image processing technology, realizes positive and negative rotation visual OSD (On-screen Display) superposition and sound prompt by image acquisition, image algorithm model training, image comparison and signal processing output, and greatly improves the use and management efficiency of drivers and terminal clients. The system supports local manual calibration, remote client calibration and parameter batch issuing, so that complicated calibration work is more convenient and efficient.
Those skilled in the art will appreciate that, in addition to implementing the system and its various devices, modules, units provided by the present invention as pure computer readable program code, the system and its various devices, modules, units provided by the present invention can be fully implemented by logically programming method steps in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Therefore, the system and various devices, modules and units thereof provided by the invention can be regarded as a hardware component, and the devices, modules and units included in the system for realizing various functions can also be regarded as structures in the hardware component; means, modules, units for performing the various functions may also be regarded as structures within both software modules and hardware components for performing the method.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (10)
1. The utility model provides a trucd mixer monitored control system based on image recognition technology which characterized in that includes: the vehicle-mounted active safety monitoring host comprises:
an image acquisition module: the system comprises image acquisition equipment, a video monitoring device and a video monitoring device, wherein the image acquisition equipment acquires a specific video monitoring image signal through a photosensitive device;
an image recognition module: sending the specific video image signal acquired by the image acquisition module to an image recognition processing module, and comparing and judging the signal type according to the set model parameter;
a monitoring display module: the video monitoring signals acquired by the image acquisition module are converted and then displayed in real time through a display device;
the voice prompt module: the system is linked with the image recognition module and the monitoring display module, and after the signals collected by the image recognition module are matched with the set model parameters, the system reminds a driver of the current material loading rotation state by adopting a voice prompt mode after the first signal matching, and meanwhile, the load state can be superposed on the display module through OSD.
2. The system for monitoring the mixer truck based on the image recognition technology as claimed in claim 1, wherein the model parameters in the image recognition module are pre-trained video image models, including related signals including forward signals, reverse signals and stall signals acquired by the video acquisition module;
and the image identification module compares the signal type acquired by the image acquisition module with a preset image model signal, judges the signal type and outputs the signal type.
3. The system for monitoring the mixer truck based on the image recognition technology as claimed in claim 1, wherein the system realizes a multimedia information prompt function in a multi-system module linkage manner;
the image acquisition module also comprises a pre-processing module, an image algorithm model and an image comparison and signal processing output module.
4. The image recognition technology-based mixer truck monitoring system of claim 3, wherein the image pre-processing module: carrying out preprocessing including backlight compensation, strong light suppression and brightness adjustment on the video signals acquired by the image conversion sub-module, and outputting the video signals;
an image algorithm model: the method comprises the steps that a pre-trained video model library is provided, and a model database comprises collected forward signals, reverse signals and stall signals and provides library resource support for an image recognition module;
the image comparison and signal processing output module: and comparing and processing the image signal converted and output by the image preprocessing module with a pre-trained video algorithm model library.
5. The mixer truck monitoring system based on the image recognition technology as claimed in claim 1, wherein the system further comprises a remote client, an operation and maintenance treasure, a cloud server, and a local real-time display and voice prompt;
the remote client can perform data communication with the cloud server according to a set protocol;
the remote client can perform data communication with the vehicle-mounted active safety monitoring host according to a set protocol;
the operation and maintenance treasure can be in data communication with the vehicle-mounted active safety monitoring host according to a protocol;
the cloud server can preview, playback, store and transmit video information recorded by the vehicle-mounted active safety host, and can perform method feedback according to a set communication protocol.
6. The mixer truck monitoring system based on image recognition technology as claimed in claim 1, wherein the vehicle-mounted active safety monitoring host further comprises any one or more of a video mode control module, a storage module, a GPS positioning module, a WiFi module and a 4G module;
a video mode control module: the video information acquired by the image acquisition module is connected with a local vehicle-mounted display, and the video information is matched with the local vehicle-mounted display to display the vehicle running state information and the display end in a set video mode;
a storage module: the set audio and video information is stored, and the detachable mobile portable characteristic is realized;
a GPS positioning module: the method comprises the steps of acquiring vehicle position information and position-related additional information in real time, sending the acquired information to a cloud server and a vehicle-mounted active safety monitoring host, and updating according to set logic;
a WiFi module: the active serial port equipment networking is realized, namely, the equipment actively initiates connection, and data interaction is carried out with a background server;
a 4G module: and the communication connection among the vehicle-mounted active safety monitoring host machine end, the remote client and the cloud server according to a preset protocol is realized.
7. The system as claimed in claim 1, wherein the image capturing device in the image capturing module comprises an AHD digital surveillance camera, which requires starlight level, 3D-NR, motion detection, DWR functionality.
8. A mixer truck monitoring calibration installation method based on an image recognition technology is characterized in that a mixer truck monitoring system based on the image recognition technology as claimed in any one of claims 1 to 7 comprises:
step S1: preparing a camera with wide dynamic effect and a fortune and maintenance treasure;
step S2: fixing a camera in front of a wheel disc of a stirring tank of a stirring truck;
step S3: adjusting the installation angle of the camera by the fortune dimension treasure to enable the angle of the camera to be in a positive image and irradiate a stirring tank wheel disc of the stirring truck;
step S4: and collecting the rotation direction of a stirring tank wheel disc of the stirring vehicle.
9. The mixer truck monitoring calibration installation method based on the image recognition technology as claimed in claim 8, characterized in that the method further comprises a local manual calibration step and a remote client automatic calibration step;
the local manual calibration step comprises the following steps:
step 1.1: installing a Mini display screen and a TTS loudspeaker;
step 1.2: a vehicle-mounted active safety monitoring host acquires a camera image;
step 1.3: the vehicle-mounted active safety host acquires the rotation direction of a stirring tank wheel disc of the stirring vehicle;
step 1.4: calibrating the rotation direction;
step 1.5: OSD superposition marking, and storing in a database;
step 1.6: generating calibration data;
step 1.7: synchronously uploading the calibration data to an operation and maintenance treasure or a cloud server for storage;
step 1.8: and finishing calibration.
10. The mixer truck monitoring calibration installation method based on the image recognition technology as claimed in claim 9, wherein the remote client automatic calibration step comprises:
step 2.1: inputting vehicle information;
step 2.2: a vehicle-mounted active safety monitoring host acquires a calibration image;
step 2.3: the vehicle-mounted active safety monitoring host transmits the camera image to a remote client service platform through a 4G network module;
step 2.4: a remote client service platform acquires a calibration image;
step 2.5: generating calibration data;
step 2.6: uploading the calibration data to an operation and maintenance treasure or a cloud server;
step 2.7: the server side issues parameters in batches;
step 2.8: and finishing calibration.
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