Deep learning based smart safe community management system

Abstract

The invention relates to the field of community management, and particularly relates to a deep learning based smart safe community management system. The deep learning based smart safe community management system comprises a video monitoring module, a face recognition module, a vehicle information recognition module, a personnel hotspot distribution module, a vehicle trajectory analysis module, GIS electronic map and a big data cloud platform, and is characterized in that the video monitoring module, the face recognition module, the vehicle information recognition module, the personnel hotspot distribution module, the vehicle trajectory analysis module and the GIS electronic map are connected with the big data cloud platform through a network framework VPN channel. The beneficial effects are that the smart safe community management system combines a high-definition camera, extracts effective structured information from unstructured video information based on a deep learning algorithm, accurately recognizes face and vehicle information characteristics, quickly compares the face and vehicle information characteristics, integrates and links systems of a community and improves the management decision-making ability.

Description

technical field [0001] The invention relates to the field of community management, in particular to a smart and safe community management system based on deep learning. Background technique [0002] With the progress of society and the deepening of urbanization, the number of people and vehicles in the community is increasing, making its management and maintenance more difficult, and the overall security status is not optimistic. At the same time, the intelligence and integration of traditional smart communities are developing rapidly. Combined with high-tech means, it can reasonably and effectively analyze and extract explosive growth video data and information, strengthen the construction of smart communities, and improve the safety protection of personnel and vehicles in smart communities. It is a necessary development direction to cooperate with the construction of smart cities. The design of the smart safe community system is mainly to provide the most important guaran...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the single video collection of video monitoring in traditional smart communities, which cannot effectively extract video information, and provide a smart safe community management system based on deep learning algorithms for face recognition and vehicle information recognition

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