Industry Overview:

With the improvement of people’s living standards, automobile consumption has become a hot spot for people’s consumption. The rapid growth of automobile ownership has driven the rapid development of the motor vehicle driving training industry. Due to the lack of supervisory and management personnel, driving schools often have management loopholes and unnecessary disputes in the face of numerous coaches, students, and training cars. In order to improve their own service level and overall competitiveness, it is necessary to strengthen the supervision of all aspects of the student teaching process through effective information technology means, such as the attitude and quality of coach teaching, preventing coaches from taking private orders and using official cars for private purposes, reducing disputes in the teaching process, and collecting evidence and analyzing student driving accidents.

Pain point analysis:
Insufficient supervision

Driving schools have a large number of teaching vehicles, corresponding coaches and training grounds, and lack effective supervision. They can only rely on self-supervision and self-discipline of coaches. Obviously, such a phenomenon is not conducive to the development of driving schools. Conflicts may arise between coaches and students, and even between students, due to certain issues. It is particularly important for driving schools to intervene effectively and create a good teaching environment for coaches and students.

Standardized coaches

Being a driving instructor is not just a simple teaching job that only involves talking and doing things, but a comprehensive teaching activity that integrates knowledge, technology and experience. The instructor’s teaching is related to the students’ future driving safety on the road, and the instructor needs to be responsible to the students and to the society. However, in recent years, there have been frequent irregular behaviors such as favoritism and fraud by instructors, which not only damages the image of driving schools, but also poses a hidden danger to the future driving safety of their students.

Vehicle Management

There are many people using training vehicles and the mobility of personnel is high. How can we link the vehicles with the trainees, ensure that the trainees learn according to the designated vehicle models, prevent non-school driving learners from entering the vehicle cab at will, prevent training vehicles from being driven for non-teaching purposes, and effectively control the use of teaching vehicles.

Incident Forensics

The training car is driven by students most of the time, and it is easy for traffic accidents to occur while the students are operating the car. It is also easy for disputes between students and coaches to occur, and it is necessary to be able to review and analyze the historical audio and video at the scene to clarify responsibilities.

Solution:

Installing a vehicle monitoring host on the training car can obtain the real-time internal and external scenes of the vehicle. Through the host’s built-in GPS function, the vehicle’s location and the distribution of all vehicles in the driving school can be obtained in real time. The host has its own AI intelligent recognition algorithm, which can identify and compare the driver through the camera installed in the cab, and compare whether the driver is a coach or student of the school. If a non-coach or non-student drives the vehicle, the monitoring center will be notified in time for processing; the platform has rich reporting functions, and timely collects data reported by vehicle equipment to form reports, which can query vehicle usage time, vehicle operation trajectory, etc.; when unnecessary disputes occur, the historical monitoring screen of the equipment can be retrieved to restore the course of events and quickly deal with the problem.

System functions:

Real-time monitoring: Get the monitoring screen of the specified vehicle in real time to clearly understand the situation of the people inside the vehicle.

Historical video playback: supports local and remote storage of large-capacity video files, supports local or remote historical video playback and viewing, and effectively solves problems arising during vehicle use.

Voice collection: Through the built-in sound collector of the camera, the sound inside the car can be listened to in real time and recorded into a video file, eliminating the impolite behavior of the instructor and improving the students’ driving experience.

GPS monitoring: Real-time vehicle location reporting, one-click access to the current location and distribution area of ​​all vehicles in the driving school.

Face recognition: It comes with intelligent AI face analysis algorithm to compare vehicle drivers in real time. When the current driver does not match the entered person, it will be reported to the monitoring center in time, and the monitoring center will handle the reported information.

Rule control: The platform supports a variety of rule settings, which can effectively constrain the status of vehicles, such as vehicle speed limit, prohibited exit /entry areas, route deviation and other rules. It can control the use of vehicles according to designated training venues and training routes. When the current use status of the vehicle does not comply with the rules, the monitoring platform will be reminded in time.

Data report: All data reported by the equipment, vehicle usage time, location, personnel comparison results, driving out of the training area, deviation from the training route, etc. can be recorded on the platform, and can be queried and exported by time and specified vehicle.