Planning system of bayonet videos

Abstract

The invention provides a planning system of bayonet videos. The planning system comprises a data collection device, a bayonet planning device and a video planning device, wherein the data collection device is used for collecting and processing data; the bayonet planning device is used for planning space layout of a bayonet; the video planning device is used for planning layout of the video space. Compared with the prior art, the planning system has the advantages that by designing quantifying planning indexes, a visual diamond grading address selection model is built, so as to complete the reasonable planning of videos (bayonets) of whole province; the scientific and accurate point distribution basis is provided for a city joint prevention and control system.

Description

technical field [0001] The invention relates to the field of big data, in particular to a bayonet video planning system. Background technique [0002] In the past, social video (bayonet) planning was mainly based on experience and knowledge, and extensive thinking was used to determine the spatial location of surveillance video. In recent years, with the deepening of crime prevention and control system construction, public security departments urgently need scientific, accurate and reasonable public video (bayonet) planning methods. At present, there are two kinds of social surveillance video (bayonet) planning ideas that are relatively recognized by the public security department of our country, namely "circle block grid line point" and "five network project". Among them, the concept of "circle block grid point" considers the spatial relationship between administrative divisions, roads, information points and the city, and "circles", "cuts", "divides", "connects", and "fix...

AI Technical Summary

Problems solved by technology

[0003] Although the ideas of the two methods have played a certain role in promoting social public video and bayonet planning, due to the lack of scientific and systematic solutions and necessary data support, the above planning concepts still remain at the methodological level and lack specific solution and quantitative index system

[0004] Moreover, the site selection of the video (bayonet) in the two methods mainly relies on local personnel or experienced staff who are familiar with the terrain to arrange the sites, and it is impossible to achieve a working method that is separated from manual operations.

At the same time, social security video (checkpoint) mainly serves the public security industry, and the specific planning must be closely related to the business of "fighting, prevention, management, and control" of public security, so there are still certain difficulties in actual promotion and application

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