Core demands
In the traditional taxi industry, anti monitoring behaviors of taxi drivers (such as covering the camera of the vehicle), refusal to pick up a ticket (not calling a meter to pick up passengers, refusing to pick up passengers), illegal operation of qualified personnel, and illegal driving behaviors of drivers (smoking, using mobile phones, etc.) are common. These behaviors are extremely detrimental to the management of taxi enterprises on driver driving operations, It should be punished by the management department and the enterprise. However, at present, there are few means and ways to assist taxi enterprises in supervising taxi drivers' driving behavior, resulting in the regulatory dilemma of transportation management departments and taxi enterprises.
In the era of AI intelligence, the problems raised in the above background can be completely solved with AI technology. Therefore, all taxi enterprises urgently need to find a company with rich experience in intelligent terminal research and development to help them solve their management problems with AI technology.
Solution
In market research, Guangjun Group contacted and used the "Intelligent Mobile AI Intelligent Terminal" independently developed by Guangzhou Intelligent Body Technology Co., Ltd., based on Baidu's existing face recognition technology, driving behavior analysis technology, voice recognition and synthesis technology, combined with the Internet of Vehicles, the Internet of Things, visual recognition algorithms, artificial intelligence algorithms, and fault tolerance mechanisms.
The intelligent terminal of "Zhixing" taxi is now equipped with the innovative functions of driver's impersonal card punching, identification of non staff drivers, determination and identification of refusal to load and bargaining behavior, determination and identification of driver's illegal behavior, and identification and analysis of driving behavior, thus solving the difficult points of enterprise supervision, low supervision efficiency, and untimely supervision, reducing supervision costs and improving supervision efficiency, Realized enterprise management informatization and intellectualization.
1. Driver identification process is as follows:
1) The driver completes face information registration according to the prompts in the intelligent travel driver end APP;
2) Enterprise administrators bind the relationship between drivers and vehicles on the Zhixing Taxi Enterprise Management Platform;
3) Before the driver goes on the road for operation, the on-board terminal will automatically call the on-board camera for offline face recognition to confirm the driver's identity and punch in without feeling;
4) Judge the information binding relationship between the taxi driver and the vehicle.
When it is verified that there is no binding relationship between the driver and the taxi, it will be determined that the driver has failed to punch in, and the multimedia module will play warning scripts through the voice synthesis technology on-board intelligent terminal. At the same time, the "non editorial" information is synchronized to the taxi enterprise management platform and intelligent travel management terminal APP. After receiving the "non editorial" information, the taxi enterprise management platform and APP immediately pop up an alarm message to remind the personnel on duty and synchronously record the "non editorial" log.
2. The identification process of driver's ticket evasion is as follows:
1) When the taxi is running, the intelligent vision recognition algorithm, face recognition algorithm and fault tolerance mechanism will be started. At the same time, the on-board intelligent terminal will also unconsciously call the on-board camera to automatically monitor whether there is a behavior of not calling a meter when carrying passengers.
The operation status identification diagram is as follows:
2) When it is detected that the driver is carrying passengers without typing a ticket, the escape information will be automatically synchronized to the taxi enterprise management platform and the intelligent travel management terminal APP. When the taxi enterprise management platform and the intelligent travel management terminal APP receive the escape information, an alarm message will pop up immediately to remind the personnel on duty and record the escape log synchronously, and the on-board intelligent terminal will control the multimedia module to play the warning speech through voice synthesis technology.
The log of violations of passenger carrying non ticketing is as follows:
3. Anti monitoring behavior identification process is as follows:
1) When the vehicle is running, the intelligent vision recognition algorithm, face recognition algorithm and fault tolerance mechanism will be started. At the same time, the on-board intelligent terminal will also imperceptibly call the on-board camera to automatically monitor whether there is anti carrier monitoring;
2) When the anti monitoring behavior of the driver is detected, the anti monitoring information will be automatically synchronized to the taxi enterprise management platform and the intelligent travel management terminal APP. The taxi enterprise management platform and the intelligent travel management terminal APP will immediately pop up an alarm message after receiving the information to remind the attendant and synchronously record the driver's anti monitoring behavior log. At the same time, through voice synthesis technology, the on-board intelligent terminal will also control the multimedia module to send out warning scripts. On the contrary, when no anti monitoring behavior of the driver is detected, no warning will be triggered.
The following figure shows the illegal mobile camera behavior of the vehicle driver:
4. The process of anti loading behavior identification is as follows
1) When the vehicle is running, the on-board intelligent terminal will start the voice recognition algorithm and fault tolerance mechanism to identify whether the driver has a load rejection behavior imperceptibly.
2) When the driver's refusal behavior is detected, the driver's refusal information will be automatically synchronized to the taxi enterprise management platform and intelligent travel management terminal APP. After receiving the information, the taxi enterprise management platform and intelligent travel management terminal APP will immediately pop up an alarm message to remind the personnel on duty and synchronously record the driver's refusal behavior log. At the same time, through voice synthesis technology, the on-board intelligent terminal will also control the multimedia module to send out warning scripts. On the contrary, when no load rejection behavior is detected, no warning will be triggered.
5. Driving behavior analysis process is as follows
1) When the vehicle is running, the intelligent human behavior analysis algorithm, driving behavior analysis algorithm and fault tolerance mechanism will be started. At the same time, the on-board intelligent terminal calls the on-board camera to automatically analyze the driver's driving behavior;
2) When it is detected that drivers use mobile phones, smoke, do not fasten seat belts, leave the steering wheel with both hands, and do not look forward, the violation information will be automatically synchronized to the taxi enterprise management platform and intelligent travel management APP. After receiving the information, the taxi enterprise management platform and intelligent travel management APP will, An alarm message will pop up immediately to remind the personnel on duty and record the log of driver's illegal driving behavior synchronously. At the same time, through voice synthesis technology, the on-board intelligent terminal controls the multimedia module to issue warning scripts. On the contrary, when no illegal driving behavior is detected, no warning will be triggered.
