Intelligent traffic safety monitoring and alarming device

Abstract

The invention discloses an intelligent traffic safety monitoring and alarming device, which comprises a shell, a warning system, an intelligent controller, an information acquisition system and an alarming system. A high-definition camera is integrated uniquely, 24-hour uninterrupted monitoring can be realized, and the use effects are enhanced while the use is facilitated. As the intelligent controller is arranged, various data acquired by the sensing mechanism can be analyzed in real time. The device is simple, the mounting is convenient, and safety and reliability can be effectively realized while intelligence is enhanced.

Description

technical field [0001] The invention relates to a monitoring alarm device, in particular to an intelligent traffic safety monitoring alarm device. Background technique [0002] With the application of Internet of Things technology in traffic management, the increasingly mature intelligent traffic management technology has made outstanding contributions to improving the level of traffic management and improving traffic congestion. Among them, timely and accurate data collection and real-time processing and analysis of on-site data have become important prerequisites and foundations for intelligent transportation technology. Traditional data collection methods mainly include coils, video, and infrared rays. Most of them have shortcomings such as single data, difficulty in individual identification, and inability to provide data preprocessing. [0003] According to the accumulation of long-term on-site experience and related survey data, although most industry applications hav...

AI Technical Summary

Problems solved by technology

Traditional data acquisition methods mainly include coils, video, infrared rays, etc. Most of them have shortcomings such as single data, difficulty in individual identification, and inability to provide data preprocessing.

[0003] According to the accumulation of long-term on-site experience and relevant survey data, although most industry applications have been able to use certain technical means in data collection to achieve functions and simple management measures, when the number of devices increases rapidly and the application scenarios are customized , Personalization, especially after incidents involving maintenance management and system security, it is still impossible to respond to alarms in time and accurately locate the source of the incident, which brings great troubles to the application and serious information security risks

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