Traffic accident automatic sound detection and alarm terminal

Abstract

The invention relates to a traffic accident automatic sound detection and alarm terminal which consists of an automatic sound detection device, an alarm device and a power supply module. The automatic sound detection device is used for collecting and inputting sound signals, converting, processing and distinguishing sound signals and sending out an alarm signal when set conditions are met; the alarm device is used for receiving alarm information sent by the automatic sound detection device and sending the alarm signal to a remote server through wireless communication after processing the alarm information; and the power module is used for providing a power source, wherein signal output end of the automatic sound detection device is connected with the signal input end of the alarm device, and the output end of the power module is respectively connected with the power output ends of the automatic sound detection device and the alarm device. The invention can directly and accurately obtain the alarm information of a traffic accident and can effectively obtain the spot of the traffic accident.

Description

technical field [0001] The invention relates to an automatic detection and alarm device for traffic accidents, in particular to a device for detecting and alarming traffic accidents using sound signals. Background technique [0002] Compared with the development of automatic incident detection technology, the research on major traffic accident detection lags behind. Traditional traffic incident detection devices are mainly divided into vehicle detection equipment based on magnetic frequency signals, vehicle detection equipment based on spectrum signals and vehicle detection equipment based on video signals. However, various sensors including cameras, ultrasonic waves, and microwaves are used to detect traffic incidents, mainly focusing on macroscopic road traffic flow information such as road flow, vehicle occupancy, traffic density, etc. The detection of microscopic phenomena such as traffic accidents is indirect. ,not effectively. At present, the most effective method of...

AI Technical Summary

Problems solved by technology

However, various sensors including cameras, ultrasonic waves, and microwaves are used to detect traffic incidents, mainly focusing on macroscopic road traffic flow information such as road flow, vehicle occupancy, traffic density, etc. The detection of microscopic phenomena such as traffic accidents is indirect. ,not effectively

At present, the most effective way to call the police is restricted by the presence of witnesses, and it is difficult to determine the location of the incident, and it is difficult to identify the alarm information.

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