Public Security Video Image Detection System Construction Platform in Cloud Computing Environment.

Hexiao Yin

doi:10.1155/2022/4113803

Abstract

The public security image detection system is an important way to assist the police in the investigation. In today's cloud computing environment, the processing power of cloud computing is gradually improving. In order to explore its application in the investigation system, this paper constructs a public security video image investigation system based on cloud computing environment. This paper uses cloud computing technology to improve the processing capacity of the system. It then combines the storage capabilities of the backend server implementation technology and the working principle of Hadoop to construct a basic model. Then combined with the storage capability of the backend server implementation technology and the working principle of Hadoop and CP-ABE encryption, decryption, and reconstruction, a basic model is constructed. This paper also designs public security video surveillance system vehicle detection and test experiments, cloud storage encryption algorithm experiments, and computational storage requirements analysis experiments. It optimizes the system based on the results of the experiment and finally compares it with the traditional investigation system. The experimental results show that the public security video image detection system based on cloud computing can improve the accuracy by 5%–25% compared with the traditional detection system. And the public security video image detection system based on cloud computing can increase the efficiency by 2%–17% compared with the traditional detection system.

Highlights

In order to maintain long-term social stability, the Ministry of Public Security launched the National Ministry of Public Security’s strong police demonstration city construction project to strengthen urban construction and science and technology
Jin et al solved this challenging problem by proposing a new attribute-based data sharing scheme, which is suitable for mobile users with limited resources in cloud computing [5]
Hirai et al model the task scheduling server as a single-server queue, where the server is composed of many workers [13]. ey mainly research task scheduling servers in the context of local cloud computing, and they do not involve much in public security video surveillance work

Summary

Introduction

In order to maintain long-term social stability, the Ministry of Public Security launched the National Ministry of Public Security’s strong police demonstration city construction project to strengthen urban construction and science and technology. Jin et al solved this challenging problem by proposing a new attribute-based data sharing scheme, which is suitable for mobile users with limited resources in cloud computing [5]. E article by Zhao et al is mainly based on the application of D2D in public safety video to improve the coverage area of the investigation system and on cloud computing. Ey mainly research task scheduling servers in the context of local cloud computing, and they do not involve much in public security video surveillance work. E innovation of this paper lies in the use of cloud computing technology, backend server implementation technology, and Hadoop working principles, combined with pedestrian-related knowledge elements in the video data of the video image detection system and public safety video image information. It preprocesses the image to improve the accuracy and efficiency of image acquisition

Designing Public Security Investigation System Based on Cloud Computing

Image Preprocessing

Public Safety Video Detection Experiment

Findings

Public Security Investigation System Based on Cloud Computing