保持社交距离的人工智能视频监控:负责任的公共空间设计和部署

IF 4.9 3区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Information Technology & People Pub Date : 2021-07-15 DOI:10.1108/ITP-07-2020-0534
Nehemia Sugianto, D. Tjondronegoro, R. Stockdale, E. Yuwono
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引用次数: 12

摘要

本文提出了一种保护隐私的人工智能视频监控技术,用于监控公共场所的社交距离。设计/方法论/方法本文提出了一个新的负责任的人工智能实施框架,以指导所提出的解决方案的设计和开发。它定义了解决方案需要满足的负责任的人工智能标准,并提供了在整个过程中执行标准的检查清单。为了保护数据隐私,拟议的系统结合了一种联邦学习方法,允许在边缘设备上执行计算,以限制敏感和可识别的数据移动,并消除对中央服务器上云计算的依赖。研究结果通过监测机场社会距离的案例研究对拟议系统进行了评估。结果讨论了该系统如何在可靠性、部署到机场摄像机时的实用性以及与负责任的人工智能的合规性方面完全满足案例研究的要求。原创性/价值本文做出了三个贡献。首先,提出了一种边缘实时社交距离漏洞检测系统,该系统扩展了尖端人员检测和跟踪算法的组合,以实现稳健的性能。其次,提出了在视频监控环境中开发负责任的人工智能的设计方法。第三,在机场案例研究的背景下,提出了综合评估的结果和讨论,以证明所提出的系统的稳健性能和实际用途。
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Privacy-preserving AI-enabled video surveillance for social distancing: responsible design and deployment for public spaces
PurposeThe paper proposes a privacy-preserving artificial intelligence-enabled video surveillance technology to monitor social distancing in public spaces.Design/methodology/approachThe paper proposes a new Responsible Artificial Intelligence Implementation Framework to guide the proposed solution's design and development. It defines responsible artificial intelligence criteria that the solution needs to meet and provides checklists to enforce the criteria throughout the process. To preserve data privacy, the proposed system incorporates a federated learning approach to allow computation performed on edge devices to limit sensitive and identifiable data movement and eliminate the dependency of cloud computing at a central server.FindingsThe proposed system is evaluated through a case study of monitoring social distancing at an airport. The results discuss how the system can fully address the case study's requirements in terms of its reliability, its usefulness when deployed to the airport's cameras, and its compliance with responsible artificial intelligence.Originality/valueThe paper makes three contributions. First, it proposes a real-time social distancing breach detection system on edge that extends from a combination of cutting-edge people detection and tracking algorithms to achieve robust performance. Second, it proposes a design approach to develop responsible artificial intelligence in video surveillance contexts. Third, it presents results and discussion from a comprehensive evaluation in the context of a case study at an airport to demonstrate the proposed system's robust performance and practical usefulness.
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来源期刊
Information Technology & People
Information Technology & People INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
8.20
自引率
13.60%
发文量
121
期刊介绍: Information Technology & People publishes work that is dedicated to understanding the implications of information technology as a tool, resource and format for people in their daily work in organizations. Impact on performance is part of this, since it is essential to the well being of employees and organizations alike. Contributions to the journal include case studies, comparative theory, and quantitative research, as well as inquiries into systems development methods and practice.
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