Method and device of taxi industry driver order escape behavior recognition system

Abstract

The invention provides a method and device of a taxi industry driver order escape behavior recognition system. The device comprises a taxi and a taxi enterprise management platform, wherein the taxi is internally provided with a bridge, a driver's seat and back seats, the bridge, the driver's seat and the back seats are sequentially arranged from front to back, the bridge is equipped with a vehicle taximeter and vehicle-mounted terminal equipment, the vehicle-mounted terminal equipment includes a multimedia module and an anti-order escape behavior recognition APP, the anti-order escape behavior recognition APP includes a vehicle speed monitoring module, a face recognition algorithm resource library, a taximeter state detection module, a taxi driver order escape recognition algorithm logicmodule and a fault-tolerant module, and the top of the taxi is equipped with a GPS antenna. The method and device of the taxi industry driver order escape behavior recognition system provides a brandnew supervision weapon for taxi enterprises and government departments, and greatly facilitates the regulation performed by the government on the taxi industry and self-supervision of the taxi enterprises.

Description

technical field [0001] The invention relates to a method and a device for a driver's evasion behavior recognition system in the taxi industry, and belongs to the field of intelligent recognition system design. Background technique [0002] According to the management regulations of the taxi industry, the general principles of the civil law and the principle of good faith in the contract law, taxi drivers who evade orders should be subject to administrative punishment by the management department. However, the current society lacks effective means and methods to identify taxi drivers' evasion behavior, so that it is impossible to fundamentally protect the rights and interests of citizens and regulate the driving behavior of drivers. [0003] In the past, the competent government departments mainly adopted a combination of road law enforcement and complaint handling for taxi driver evasion behaviors. These two traditional supervision methods not only have limited supervision o...

AI Technical Summary

Problems solved by technology

[0004] However, the current supervision method of installing on-board cameras in taxis and monitoring taxis 24 hours a day requires a large amount of manpower to continuously spot-check the video on-board of taxis to check whether taxi drivers have evaded orders.

Even though the supervision has been strengthened, other derivative problems such as poor real-time performance and high labor costs have occurred, and it is still impossible to effectively monitor driver evasion behavior fundamentally

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