Intelligent detection system and method of refitted exhaust fan of car

An intelligent detection and exhaust fan technology, applied in neural learning methods, instruments, biological neural network models, etc., can solve the problems of high labor cost, low efficiency, easy fatigue, etc., and achieve the effect of saving manpower

Inactive Publication Date: 2018-04-24
上海眼控科技股份有限公司
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AI Technical Summary

Problems solved by technology

[0003] Traditional exhaust fan detection is mainly done manually. This method has high labor costs and low efficiency, and long-term repetitive calibration operations are prone to fatigue, negligence and other bad conditions, which affect the calibration accura

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  • Intelligent detection system and method of refitted exhaust fan of car
  • Intelligent detection system and method of refitted exhaust fan of car
  • Intelligent detection system and method of refitted exhaust fan of car

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Embodiment Construction

[0035] Below in conjunction with accompanying drawing. The present invention will be further described.

[0036] Intelligent detection system structure of the present invention such as figure 1 As shown, it includes a target detection module, a target image similarity judgment module and a statistical analysis module.

[0037] Wherein, the target detection module includes a vehicle target detection unit and an exhaust fan target detection unit.

[0038] First, the vehicle object detection unit applies the vehicle object detection model on the vehicle image to obtain the vehicle area image. Then the vehicle area image is sent to the exhaust fan target detection unit, and the exhaust fan target detection model is applied on the vehicle area image to identify the exhaust fan. The target detection module first detects the vehicle target, and then detects the exhaust fan target in the vehicle target image. This distribution detection method can effectively avoid false detections...

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Abstract

The invention discloses an intelligent detection system and method of a refitted exhaust fan of a car. A system structure thereof includes a target detection module, a target image similarity judgement module and a statistical analysis module. The target detection module includes a vehicle target detection unit and an exhaust-fan target detection unit. The vehicle target detection unit is used foracquiring a vehicle area image. The exhaust-fan target detection unit is used for detecting the vehicle area image and identifying an exhaust fan. The target image similarity judgement module is usedfor comparing feature vectors of exhaust-fan images. The statistical analysis module judges a detected structure according to checking criteria, and returns a reason of checking failure. The system and method are mainly applied to refitted-exhaust-fan detection of the car in vehicle annual-inspection of motor vehicles, realize entire-process automatic-checking in a detection process, can return afailed detected image and the reason to a server at the same time to save the same for later evidence collecting, save manpower, and also guarantee fairness and openness of checking work.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence judgment for annual inspection of motor vehicles, in particular to an intelligent detection system and method for an exhaust fan refitted on a car. Background technique [0002] With the continuous development of social economy and the continuous improvement of people's living standards, the number of urban motor vehicles has increased rapidly. As an important traffic participant, motor vehicles must have good safety and reliability. However, some motor vehicle owners have weak safety awareness and illegally modify motor vehicles. Illegally modified vehicles that have not passed safety tests may increase the probability and severity of traffic accidents. Therefore, it is very important to strictly detect whether the vehicle is modified to maintain traffic safety. [0003] Traditional exhaust fan detection is mainly done manually. This method has high labor costs and low efficien...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/08
CPCG06N3/08G06V20/584G06V10/44G06V10/462G06V10/751G06V2201/07
Inventor 周康明
Owner 上海眼控科技股份有限公司
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