What is it about?

In the deployment of urban surveillance, a smart camera embedded with face recognition technology can transmit facial feature data to a computer center database through a computer network while taking a suspicious portrait, and the system can automatically integrate the facial database of fugitives compared quickly and accurately. Simulation results show that the artificial intelligence mode can effectively improve the accuracy of facial recognition, and at the same time, it is effective for dynamic image monitoring of moving objects. The size of the detected interest point will be reduced by more than 30%, which reduces the calculation amount to some extent and improves the decision efficiency.

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Why is it important?

Based on video-based multi-source IoT sensing data collection and aggregation, and parallel operation of public security online business inspection and control system, video integration system, police integration system, vehicle management Data of driving systems and information systems, and perform correlation and parallel comparison of vehicles, personnel, cases, electromagnetic trajectories and social resource data In-depth data mining of high-risk personnel and vehicles will further amplify and multiply the value of data, and realize the tran-sition from “passive police” to “active police” in thetrue sense, and achieve precise control and fine gov-ernance of social order.

Perspectives

I am very happy to write this paper. The research on the theme of the paper enables me to contribute to the safety of the society and the people.

Yi Yang
Chongqing Technology and Business University

Read the Original

This page is a summary of: Smart community security monitoring based on artificial intelligence and improved machine learning algorithm, Journal of Intelligent & Fuzzy Systems, June 2020, IOS Press,
DOI: 10.3233/jifs-179809.
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