Improve the Efficiency and Security by Digitalizing the Sri Lankan Police Department

K. Yapa, A. Senaratne, R. P. D. T. D. Pathirathna, Y. P. C. N. Priyamantha, W. D. S. Dias, B. Katukithulgala
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引用次数: 1

Abstract

Police, as the main law enforcement organization in Sri Lanka, play a major role in preserving the public order, preventing criminal, terrorist activities, and enforcing the law. As a developing nation, Sri Lanka Police Department is moving forward with emerging technologies to effectively manage operations and rapidly respond to opportunities and challenges. Compared to developed countries, Police Department is still far more behind when working with modern technologies. Lack of coordination between departments, duplication of data, delay of services, unauthorized data modification, absence of data analysis and prediction systems, lack of transparency, and corruption were identified as the main issues that exist in the police department. In this paper, we propose 4 main improvements which help to overcome those issues and challenges. Improving the existing police clearance certificate system to issue digital certificates capable of verifying the authenticity, integrity of the document and providing efficient delivery and great user experience to the applicants. Implementing a Blockchain network to store confidential data securely by providing transparency and integrity. Developing a machine learning model to predict crimes geographically and predict fight crime action based on data gathered from a real-time camera system (CCTV).
通过数字化斯里兰卡警察局提高效率和安全性
警察作为斯里兰卡的主要执法机构,在维护公共秩序、防止犯罪、恐怖活动和执法方面发挥着重要作用。作为一个发展中国家,斯里兰卡警察局正在使用新兴技术,以有效地管理行动,并迅速应对机遇和挑战。与发达国家相比,警察部门在使用现代技术方面仍然远远落后。警察部门存在的主要问题是部门之间缺乏协调、数据重复、服务延迟、未经授权的数据修改、缺乏数据分析和预测系统、缺乏透明度和腐败。在本文中,我们提出了有助于克服这些问题和挑战的4个主要改进。改善现有的警察通关证书制度,以发出数码证书,以核实文件的真实性和完整性,并为申请人提供高效的交付和良好的用户体验。实现区块链网络,通过提供透明性和完整性来安全地存储机密数据。开发一种机器学习模型,根据实时摄像系统(CCTV)收集的数据,在地理上预测犯罪并预测打击犯罪行动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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