CN110796883A - Electric bicycle violation reminding method and device based on image recognition - Google Patents
Electric bicycle violation reminding method and device based on image recognition Download PDFInfo
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- CN110796883A CN110796883A CN201911080119.3A CN201911080119A CN110796883A CN 110796883 A CN110796883 A CN 110796883A CN 201911080119 A CN201911080119 A CN 201911080119A CN 110796883 A CN110796883 A CN 110796883A
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- G—PHYSICS
- G08—SIGNALLING
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
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- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
- G06V20/584—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of vehicle lights or traffic lights
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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Abstract
The invention discloses an electric bicycle violation reminding method and device based on image recognition, which relate to the technical field of image processing and adopt the technical scheme that: firstly, acquiring a daily violation photo of the electric bicycle through an acquisition module, inputting the daily violation photo into a deep learning frame for training to obtain a recognition violation model, and solidifying the recognition violation model into a binary file to be stored in an image calculation module with calculation capacity; the front road information of the electric bicycle is collected through the camera module at the front end of the electric bicycle, the image calculation module receives the information collected by the camera module and analyzes the information in real time, when the image calculation module analyzes that the electric bicycle is subjected to violation behaviors, the image calculation module transmits a control signal to the loudspeaker module, and the loudspeaker module carries out voice broadcasting and reminds a driver. The invention can remind the driver of the electric bicycle of violation of regulations, thereby improving the alertness of the driver and reducing the probability of traffic accidents of the electric bicycle caused by violation of regulations.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to an electric bicycle violation reminding method and device based on image recognition.
Background
With the increase of the disposable income of residents, people pursue comfort, convenience and safety of life more, and the bearing capacity of consumer product price is strengthened continuously. The electric bicycle is an important choice for improving the travel conditions of people due to the characteristics of simple operation, convenience, rapidness, time and labor conservation, high cost performance and the like, and the hold of the electric bicycle in China reaches 2.5 hundred million at present.
However, although the electric bicycle belongs to a non-motor vehicle, the owner often neglects the traffic rules of the non-motor vehicle, such as running a red light randomly, not walking a non-motor vehicle lane, etc., and the casualties caused thereby are on the trend of rising year by year.
Disclosure of Invention
Aiming at the requirements and the defects of the prior art development, the invention provides the electric bicycle violation reminding method and the device based on image recognition, which can remind a driver of violation behavior in time by acquiring the road information of the electric bicycle, thereby reducing the probability of accidents.
Firstly, the invention provides an electric bicycle violation reminding method based on image recognition, and the technical scheme adopted for solving the technical problems is as follows:
an electric bicycle violation reminding method based on image recognition comprises an acquisition training stage, a deployment stage and a violation reminding stage;
in the acquisition training stage, acquiring a daily violation photo of the electric bicycle through an acquisition module, inputting the daily violation photo into a deep learning frame for training to obtain an identification violation model, solidifying the identification violation model into a binary file, and storing the binary file in an image calculation module with calculation capacity;
in the deployment stage, the camera module and the loudspeaker module are arranged at the front end of the electric bicycle, the image calculation module is integrally arranged on the control module of the electric bicycle, and the camera module, the image calculation module and the loudspeaker module are sequentially in communication connection;
in the violation reminding stage, the camera module of the electric bicycle collects road information in front of the bicycle, the image calculation module receives the information collected by the camera module and analyzes the information in real time, when the image calculation module analyzes that the violation behavior of the electric bicycle is obtained, the image calculation module transmits a control signal to the loudspeaker module, and the loudspeaker module carries out voice broadcast and reminds a driver.
In the collection training stage, after the collection module collects the daily violation photos of the electric bicycle, the violation photos are manually classified according to the violation conditions, and then the classified violation photos are input into a deep learning frame for training to obtain a recognition violation model;
in the violation reminding stage, when the image computing module analyzes that the electric bicycle is violated, the image computing module transmits a control signal to the loudspeaker module, and the loudspeaker module broadcasts a specific violation condition to a driver by voice;
the violation conditions include red light running and driving into the motorway.
Optionally, the violation identification model adopts an open source deep learning frame tensoflow, the open source deep learning frame tensoflow calls an input _ data.read _ data _ sets interface to receive the daily violation photos of the electric bicycle collected by the camera module, and the collected daily violation photos of the electric bicycle are used for training the tensoflow to obtain the violation identification model.
Optionally, the image calculation module adopts an STM32F4 series single chip microcomputer as a main control chip to provide IIC and I2S and DCMI interfaces. The power supply of the image calculation module adopts a DC power supply integrated chip, and the DC power supply integrated chip converts the voltage of 48v or 60v of the electric bicycle into 12v, 5v and 3.3v to supply power for the image calculation module, the camera module and the loudspeaker module.
Optionally, the camera module adopts an OV7670 module, an SCCB bus and a data bus of the OV7670 module are respectively connected to the IIC and the DCMI bus of the image calculation module, and the OV7670 module transmits the video stream data to the image calculation module in real time and provides original image data for the image calculation module.
Optionally, the speaker module comprises an audio power amplifier chip and a loudspeaker, and the audio power amplifier chip and the image calculation module are connected through I2And S is connected.
Secondly, the invention provides an electric bicycle violation reminding device based on image recognition, and the technical scheme adopted for solving the technical problems is as follows:
the utility model provides an electric bicycle reminding device violating regulations based on image recognition, its structure includes:
the acquisition module is used for acquiring a daily violation photo of the electric bicycle;
the deep learning frame is used for obtaining a daily violation photo of the electric bicycle for training to obtain a recognition violation model;
the camera module is arranged at the front end of the electric bicycle and used for acquiring road information in front of the electric bicycle;
the image calculation module is used for storing the violation identification model converted into the binary file, receiving and analyzing the information acquired by the camera module in real time and outputting a control signal according to an analysis result;
and the loudspeaker module is used for receiving the control signal of the image calculation module and carrying out voice broadcast according to the control signal so as to remind a driver.
Optionally, after the collection module collects the daily violation photos of the electric bicycle, manually classifying the collected daily violation photos according to the violation conditions, and inputting the classified violation photos into a deep learning frame for training to obtain an identification violation model;
after the image calculation module analyzes the information acquired by the camera module in real time, a control signal is transmitted to the loudspeaker module according to the analysis result, and the loudspeaker module broadcasts a specific violation condition to a driver by voice;
the violation conditions comprise red light running and driving into a motorway.
Optionally, the related violation identification model adopts an open source deep learning framework, and the open source deep learning framework calls an input _ data.read _ data _ sets interface to receive the daily violation photos of the electric bicycle collected by the collection module;
the image computing module adopts STM32F4 series single-chip microcomputer as a main control chip to provide IIC and I2S and DCMI interface;
the camera module adopts an OV7670 module, an SCCB bus and a data bus of the OV7670 module are respectively connected with an IIC bus and a DCMI bus of the image calculation module, and the OV7670 module transmits video stream data to the image calculation module in real time and provides original image data for the image calculation module;
the loudspeaker module comprises an audio power amplifier chip and a loudspeaker, wherein the audio power amplifier chip and the image calculation module pass through I2And S is connected.
Further optionally, a power supply of the image calculation module adopts a DC power supply integrated chip, and the DC power supply integrated chip converts a voltage of 48v or 60v of the electric bicycle into a voltage of 12v, a voltage of 5v, and a voltage of 3.3v to supply power to the image calculation module, the camera module, and the speaker module.
Compared with the prior art, the method and the device for reminding the violation of regulations of the electric bicycle based on the image recognition have the beneficial effects that:
1) the method obtains the violation identification model through the training of the existing violation photo, solidifies the violation identification model into a binary file, and stores the binary file in the image calculation module with calculation capacity, and the image calculation module analyzes the information acquired by the electric bicycle and sends a signal to the loudspeaker module, so that the loudspeaker module can remind a driver of violation according to the received signal;
2) the electric bicycle driving prompting device is deployed on an electric bicycle for use, so that the electric bicycle has a violation prompting function when leaving a factory, the alertness of a driver of the electric bicycle can be improved, and the probability of traffic accidents of the electric bicycle due to violation is further reduced.
Drawings
FIG. 1 is a schematic view of the connection framework of the present invention.
The reference information in the drawings indicates:
1. an acquisition module, 2, a deep learning frame, 3, a violation identification model, 4, an image calculation module,
5. camera module, 6, speaker module, 7, DC power integrated chip.
Detailed Description
In order to make the technical scheme, the technical problems to be solved and the technical effects of the present invention more clearly apparent, the following technical scheme of the present invention is clearly and completely described with reference to the specific embodiments.
The first embodiment is as follows:
referring to the attached drawing 1, the embodiment provides an electric bicycle violation reminding method based on image recognition, and the method comprises an acquisition training stage, a deployment stage and a violation reminding stage;
in the acquisition training stage, acquiring a daily violation photo of the electric bicycle through an acquisition module 1, inputting the daily violation photo into a deep learning frame 2 for training to obtain a recognition violation model 3, and solidifying the recognition violation model 3 into a binary file to be stored in an image calculation module 4 with calculation capacity;
in the deployment stage, the camera module 5 and the loudspeaker module 6 are installed at the front end of the electric bicycle, the image calculation module 4 is integrally installed on a control module of the electric bicycle, and the camera module 5, the image calculation module 4 and the loudspeaker module 6 are sequentially in communication connection;
in the violation reminding stage, the camera module 5 of the electric bicycle collects road information in front of the bicycle, the image calculation module 4 receives the information collected by the camera module 5 and analyzes the information in real time, when the image calculation module 4 analyzes that the electric bicycle is violated, the image calculation module 4 transmits a control signal to the loudspeaker module 6, and the loudspeaker module 6 broadcasts voice and reminds a driver.
In the collection training stage, after the collection module 1 collects the daily violation photos of the electric bicycle, the violation photos are manually classified according to the violation conditions, and then the classified violation photos are input into the deep learning frame 2 for training to obtain a recognition violation model 3;
in the violation reminding stage, when the image computing module 4 analyzes that the electric bicycle is violated, the image computing module 4 transmits a control signal to the loudspeaker module 6, and the loudspeaker module 6 broadcasts a specific violation condition to a driver by voice;
the violation conditions include red light running and driving into the motorway.
In the embodiment, the violation identification model 3 adopts an open source depth learning frame Tensorflow, the open source depth learning frame Tensorflow calls an input _ data.read _ data _ sets interface to receive the daily violation photos of the electric bicycle collected by the camera module 5, and the collected daily violation photos of the electric bicycle are used for training the Tensorflow to obtain the violation identification model 3.
Meanwhile, in the embodiment:
the image calculation module 4 adopts STM32F4 series single chip microcomputer as a main control chip to provide IIC and I2S and DCMI interfaces. The power supply of the image calculation module 4 adopts a DC power supply integrated chip 7, and the DC power supply integrated chip 7 converts the voltage of 48v or 60v of the electric bicycle into 12v, 5v and 3.3v to supply power for the image calculation module 4, the camera module 5 and the loudspeaker module 6.
The camera module 5 adopts an OV7670 module, an SCCB bus and a data bus of the OV7670 module are respectively connected with an IIC bus and a DCMI bus of the image calculation module 4, and the OV7670 module transmits video stream data to the image calculation module 4 in real time and provides original image data for the image calculation module 4.
The related loudspeaker module 6 comprises an audio power amplifier chip and a loudspeaker, wherein the audio power amplifier chip and the image calculation module 4 are connected through I2And S is connected.
Example two:
referring to fig. 1, the embodiment provides an electric bicycle violation reminding device based on image recognition, and the structure thereof includes:
the acquisition module 1 is used for acquiring a daily violation photo of the electric bicycle;
the deep learning frame 2 is used for obtaining a daily violation photo of the electric bicycle for training to obtain a violation recognition model 3;
the camera module 5 is arranged at the front end of the electric bicycle and used for collecting road information in front of the electric bicycle;
the image calculation module 4 is used for storing the identification violation model 3 converted into a binary file, receiving and analyzing the information acquired by the camera module 5 in real time and outputting a control signal according to an analysis result;
and the loudspeaker module 6 is used for receiving the control signal of the image calculation module 4 and carrying out voice broadcast according to the control signal so as to remind a driver.
In the embodiment, in order to train and recognize the violation model 3 better, after the collection module 1 collects the daily violation photos of the electric bicycle, the collected daily violation photos are manually classified according to the violation conditions, and the classified violation photos are input into the deep learning frame 2 to be trained, so that the violation model 3 is recognized. Like this, image calculation module 4 real-time analysis camera module 5 information of gathering after, can transmit control signal to speaker module 6 according to the analysis result, speaker module 6 to the specific violation condition of driver voice broadcast. The violation conditions include red light running and driveway entry.
In the embodiment, the open source deep learning framework Tensorflow is preferentially adopted by the identification violation model 3, and the input _ data.read _ data _ sets interface is called by the open source deep learning framework Tensorflow to receive the daily violation photos of the electric bicycle collected by the collection module 1.
Meanwhile, in the embodiment:
the image computing module 4 adopts STM32F4 series single-chip microcomputer as a main control chip to provide IIC and I2S and DCMI interfaces.
The camera module 5 adopts an OV7670 module, an SCCB bus and a data bus of the OV7670 module are respectively connected with an IIC bus and a DCMI bus of the image calculation module 4, and the OV7670 module transmits video stream data to the image calculation module 4 in real time and provides original image data for the image calculation module 4;
loudspeaker module6 comprises an audio power amplifier chip and a loudspeaker, wherein the audio power amplifier chip and the image calculation module 4 pass through I2And S is connected.
In this embodiment, the power supply of the image calculation module 4 adopts the DC power integrated chip 7, and the DC power integrated chip 7 converts the voltage of 48v or 60v of the electric bicycle into 12v, 5v and 3.3v to supply power to the image calculation module 4, the camera module 5 and the speaker module 6, so that the camera module 5 and the speaker module 6 can be prevented from being independently supplied with power, or the batteries of the camera module 5 and the speaker module 6 can be prevented from being replaced at intervals.
In summary, the electric bicycle violation reminding method and device based on image recognition are deployed on an electric bicycle for use, so that the electric bicycle has a violation reminding function when leaving a factory, the alertness of a driver of the electric bicycle can be improved, and the probability of traffic accidents of the electric bicycle due to violation is further reduced.
Based on the above embodiments of the present invention, those skilled in the art should make any improvements and modifications to the present invention without departing from the principle of the present invention, and therefore, the present invention should fall into the protection scope of the present invention.
Claims (10)
1. An electric bicycle violation reminding method based on image recognition is characterized by comprising an acquisition training stage, a deployment stage and a violation reminding stage;
in the acquisition training stage, acquiring a daily violation photo of the electric bicycle through an acquisition module, inputting the daily violation photo into a deep learning frame for training to obtain an identification violation model, solidifying the identification violation model into a binary file, and storing the binary file in an image calculation module with calculation capacity;
in the deployment stage, the camera module and the loudspeaker module are arranged at the front end of the electric bicycle, the image calculation module is integrally arranged on the control module of the electric bicycle, and the camera module, the image calculation module and the loudspeaker module are sequentially in communication connection;
in the violation reminding stage, the camera module of the electric bicycle collects road information in front of the bicycle, the image calculation module receives the information collected by the camera module and analyzes the information in real time, when the image calculation module analyzes that the violation behaviors of the electric bicycle are obtained, the image calculation module transmits a control signal to the loudspeaker module, and the loudspeaker module carries out voice broadcasting and reminds a driver.
2. The method for reminding the electric bicycle of violating regulations based on image recognition as claimed in claim 1, wherein in the stage of collection training, after the collection module collects the daily photos of violating regulations of the electric bicycle, the photos of violating regulations are firstly classified manually according to the violation conditions, and then the classified photos of violating regulations are input into a deep learning frame for training to obtain a recognition violation model;
in the violation reminding stage, when the image computing module analyzes that the electric bicycle is violated, the image computing module transmits a control signal to the loudspeaker module, and the loudspeaker module broadcasts a specific violation condition to a driver by voice;
the violation conditions comprise red light running and driving into a motorway.
3. The method for reminding the electric bicycle of violation based on image recognition as claimed in claim 1, wherein the violation recognition model adopts open source deep learning framework Tensorflow, the open source deep learning framework Tensorflow calls input _ data.read _ data _ sets interface to receive the daily violation photo of the electric bicycle collected by the camera module, and the collected daily violation photo of the electric bicycle is utilized to train the Tensorflow to obtain the violation recognition model.
4. The electric bicycle violation reminding method based on image recognition as claimed in claim 3, wherein the image calculation module adopts STM32F4 series single chip microcomputer as a main control chip to provide IIC and I2S and DCMI interface;
the power supply of the image calculation module adopts a DC power supply integrated chip, and the DC power supply integrated chip converts 48v or 60v voltage of the electric bicycle into 12v, 5v and 3.3v voltage to supply power for the image calculation module, the camera module and the loudspeaker module.
5. The electric bicycle violation reminding method based on image recognition as claimed in claim 4, wherein the camera module adopts an OV7670 module, an SCCB bus and a data bus of the OV7670 module are respectively connected with an IIC bus and a DCMI bus of the image calculation module, and the OV7670 module transmits video stream data to the image calculation module in real time and provides original image data for the image calculation module.
6. The method for reminding electric bicycle of violating regulations based on image recognition as claimed in claim 4, wherein the speaker module comprises an audio power amplifier chip and a loudspeaker, the audio power amplifier chip and the image calculation module pass through I2And S is connected.
7. The utility model provides an electric bicycle reminding device violating regulations based on image recognition which characterized in that, its structure includes:
the acquisition module is used for acquiring a daily violation photo of the electric bicycle;
the deep learning frame is used for obtaining a daily violation photo of the electric bicycle for training to obtain a recognition violation model;
the camera module is arranged at the front end of the electric bicycle and used for acquiring road information in front of the electric bicycle;
the image calculation module is used for storing the violation identification model converted into the binary file, receiving and analyzing the information acquired by the camera module in real time and outputting a control signal according to an analysis result;
and the loudspeaker module is used for receiving the control signal of the image calculation module and carrying out voice broadcast according to the control signal so as to remind a driver.
8. The image recognition-based electric bicycle violation reminding device according to claim 7, wherein after the collection module collects the daily violation photos of the electric bicycle, the collected daily violation photos are manually classified according to the violation conditions, and the classified violation photos are input into a deep learning frame for training to obtain a recognition violation model;
after the image calculation module analyzes the information acquired by the camera module in real time, a control signal is transmitted to the loudspeaker module according to the analysis result, and the loudspeaker module broadcasts a specific violation condition to a driver by voice;
the violation conditions comprise red light running and driving into a motorway.
9. The image recognition-based electric bicycle violation reminding device is characterized in that the recognition violation model adopts an open source deep learning framework Tensorflow, and the open source deep learning framework Tensorflow calls an input _ data.read _ data _ sets interface to receive the daily violation photos of the electric bicycle collected by the collecting module;
the image computing module adopts STM32F4 series single-chip microcomputer as a main control chip and provides IIC and I2S and DCMI interface;
the camera module adopts an OV7670 module, an SCCB bus and a data bus of the OV7670 module are respectively connected with an IIC bus and a DCMI bus of the image calculation module, and the OV7670 module transmits video stream data to the image calculation module in real time and provides original image data for the image calculation module;
the loudspeaker module comprises an audio power amplifier chip and a loudspeaker, wherein the audio power amplifier chip and the image calculation module pass through I2And S is connected.
10. The image recognition-based electric bicycle violation reminding device as claimed in claim 9, wherein a power supply of the image calculation module adopts a DC power supply integrated chip, and the DC power supply integrated chip converts a 48v or 60v voltage of the electric bicycle into 12v, 5v and 3.3v to supply power to the image calculation module, the camera module and the speaker module.
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