Driving behavior real-time analysis and early warning system and method based on AI vision

An early warning system and real-time analysis technology, applied in neural learning methods, lifting devices, instruments, etc., can solve the problems of forklift driver replacement, real-time differences, etc., and achieve the effect of improving production efficiency, low price, easy installation and promotion

Pending Publication Date: 2021-02-05
爱动超越人工智能科技(北京)有限责任公司
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AI Technical Summary

Problems solved by technology

There is a difference in the real-time locking of forklifts and automobiles, and forklifts are likely to change drivers midway

Method used

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  • Driving behavior real-time analysis and early warning system and method based on AI vision
  • Driving behavior real-time analysis and early warning system and method based on AI vision

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Embodiment Construction

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0028] see Figure 1-2 , the present invention provides a technical solution: a system and method for real-time analysis and early warning of driving behavior based on AI vision, the hardware includes:

[0029] Visual intelligence analysis based on artificial intelligence terminal (Jetson nano);

[0030] A narrow-band infrared camera installed at the lower position in front of the forklift driver.

[0031] The Internet of Vehicles terminal is used for real-t...

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Abstract

The invention discloses a driving behavior real-time analysis and early warning system and method based on AI vision, and the system and method effectively monitor and recognize the driving behavior and state of a forklift driver. The functions of vehicle control, driver identity replacement, fatigue driving, distracted driving, abnormal driving, smoking, calling, water or beverage drinking, unfastened safety belt and the like are achieved through face recognition, accurate driving, safe and standard driving of the forklift is guaranteed, forklift accidents are reduced, and the production efficiency is improved. Compared with a driving behavior monitoring system based on a special sensor class, the system can upload a real-time picture when a warning behavior exists in real time. Comparedwith single driving behavior monitoring, a face recognition quasi-driving control function is added. Compared with an automobile driving behavior monitoring system, the system has the advantages thatthe driving behavior and state can be monitored in real time according to the particularity of forklift operation (such as the situation that a driver needs to check during goods forking and unloadingand the situation that the driver needs to check the road condition during reversing), the price is lower, and installation and popularization are easier.

Description

technical field [0001] The invention relates to the field of forklift face recognition quasi-driving control vehicle and driving safety early warning, in particular to a system and method for real-time analysis and early warning of driving behavior based on AI vision. Background technique [0002] With the rapid development of the logistics industry in modern society, the demand for forklift transportation continues to increase. Most of the warehouse environments where forklifts work are relatively dense in space, and there are many complex working conditions such as forklifts, pedestrians, goods, pallets, shelves, etc., requiring forklift drivers to complete loading and unloading operations safely in a state of high concentration. Driving a forklift has the characteristics of long working hours and high work intensity. Forklift drivers may experience fatigue or drowsiness due to long-term driving, and some drivers' irregular driving behaviors may often lead to forklift saf...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/08B66F9/075B66F17/00
CPCG06N3/08B66F9/0759B66F17/003G06V40/16G06V40/168G06V20/597G06V2201/07G06F18/214
Inventor 王兰梅邓海勤高志勇
Owner 爱动超越人工智能科技(北京)有限责任公司
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