Anti-cheating timing system used for instructional vehicle and anti-cheating timing method used for instructional vehicle

Abstract

The invention belongs to the technical field of communication, and relates to an anti-cheating timing system used for an instructional vehicle based on face recognition and an anti-cheating timing method used for the instructional vehicle based on face recognition. The timing system comprises an OBD terminal which is internally provided with a processor. The processor is connected with a terminalA, a terminal B, a face recognition module, a timing module, a positioning module and an access device. According to the timing system, the image data of the student can be automatically acquired in real time in the driving process of the student for face recognition and stored in the memory so that the situation that another person pretends to drive for the driving student to cheat the instructional time can be prevented without interrupting the training process of the student.

Description

technical field [0001] The invention belongs to the technical field of communications, and in particular relates to a face recognition-based anti-cheating timing system and method for a coach vehicle. Background technique [0002] In recent years, some for-profit driving schools often have "shrunk" class hours during training, insufficient training hours for trainees, and poor coaching, resulting in a decline in the quality of driver training. For this reason, the Ministry of Public Security issued 17 measures on March 22, 2012 to strictly control driver education, clearly proposing to "supervise and urge the improvement of the quality of driving school training, and ensure the first level of driver training and examination." It is also stipulated that starting from April 1, 2012, driving schools that do not use the timing management system for driver training of large and medium-sized passenger and trucks, and starting from October 1, driving schools that do not use timing ...

AI Technical Summary

Problems solved by technology

However, fingerprint or facial image collection and recognition are only performed at the time of check-in and check-out, which cannot guarantee that the learning hours during the training process are true and effective, and there is still the possibility of fraud

An improvement measure is to re-collect the students' fingerprints or facial information at regular intervals during the training process to confirm the presence of the students, but this method will frequently interrupt the normal training of the students and affect the training effect

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