Five-dimensional early-warning system based on artificial intelligence multi-factor panoramic monitoring detection

Abstract

The invention provides a five-dimensional early-warning system based on artificial intelligence multi-factor panoramic monitoring detection. The system comprises at least one front-end artificial intelligence multi-factor panoramic monitoring detection device and a center management device; each front-end device comprises a central control processing unit, a camera team connected with the centralcontrol processing unit, a multi-factor sensor, a communication module, a mobile terminal and an interface unit; the multi-factor sensor comprises a brightness light intensity sensor, a temperature and humidity sensor, a rainfall sensor, a wind speed and direction sensor, and a comprehensive gas sensor; the camera team comprises multiple zoom cameras and an IPC infrared thermal imaging camera; thecentral control processing unit mainly accomplishes the operations of performing mosaic fusion and data collection, logic operation and logic control output on the received image information according to a mosaic algorithm; the center management device performs field five-dimensional pattern real-time display through a big data cloud processing platform. Five groups of video streams are output tothe external, thereby supporting a 180-DEG or 360-DEG panoramic seamless mosaic video stream.

Description

technical field [0001] The invention relates to the technical field of panoramic monitoring, in particular to a five-dimensional early warning system based on artificial intelligence multi-element panoramic monitoring and detection. Background technique [0002] First of all, high-definition surveillance cameras are widely used in various fields, including: transportation, banks, airports, oil fields, railways, safe cities, rail transit, public places, national defense and many other fields, and have become an indispensable and important equipment. In addition, important technical means such as video analysis and processing, detection, capture, and data extraction have injected new life into the single-function camera. [0003] Although surveillance cameras have been endowed with many functions, due to the limitations of their installation environment, location, angle, height, etc., there are still various drawbacks that make them only suitable for special occasions, special...

AI Technical Summary

Problems solved by technology

In addition, the existing fire alarm detection equipment is almost all point alarms, and there is no visual video to guide, monitor, observe and other auxiliary functions. The existing video detection and alarm devices will all fail under the situation of thick smoke.

Another disaster is that the road surface at the entrance and exit of the tunnel freezes, especially after winter, once the road surface freezes in plains or even in alpine areas, it will cause serious damage to vehicles driving on the road, and even major traffic accidents The economic losses or casualties caused by such accidents are the largest. Although there are many road icing detection technologies or equipment that can meet certain needs of users, the fast and accurate use is simple, stable, reliable, and has a wide coverage and intuitive road surface. Testing equipment has always been the owner's constant pursuit

[0008] To sum up, the various devices described above have their own advantages and disadvantages, but the biggest disadvantage is that each device has its own independent system and is not connected to each other. How can such a huge amount of data information be integrated to provide safe travel or rescue for human beings? Provide help, is the current technical problem that needs to be solved

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