Camera Planning for Physical Safety of Outdoor Electronic Devices: Perspective and Analysis
Camera technology advancement and deployment continue to play a vital role in modern life and production, amongst other capabilities, generating relevant visual information. The challenge of optimizing the use and deployment of camera networks in various applications (e.g., surveillance, traffic monitoring, and public safety to name but just a few) has attracted considerable attention from both academia and industries. Camera planning is the first step in addressing this challenge. The surveillance objectives and scenes of a camera network dictate the modelling and optimization algorithms for camera planning. However, existing reviews have primarily focused on models or optimization algorithms, with insufficient attention given to surveillance scenes. This review aims to bridge this gap by 1) Classifying surveillance scenes into the urban environment and rural outdoor environment and comparing the surveillance requirements and challenges; 2) Summarizing the details of camera coverage optimization in the relevant literature from the perspective of deployment scenes; and 3) Proposing a new surveillance scene —Solar Insecticidal Lamps with the Internet of Things—as a case study to analyze the surveillance requirement and challenges in agricultural outdoor environment. Finally, we state the technical outlook on the physical safety of outdoor electronic devices in agriculture settings and provide insights to draw more attention and effort into this area.
Authors
- Lei Shu (ORCID: https://orcid.org/0000-0002-6700-9347)
- Nikumani Choudhury (ORCID: https://orcid.org/0000-0003-1947-2270)
- Edmond Nurellari (ORCID: https://orcid.org/0000-0002-3359-1244)
- Kai Huang (ORCID: https://orcid.org/0000-0001-7864-6969)
- Gerhard P. Hancke (ORCID: https://orcid.org/0000-0002-2388-3542)
- Anakhi Hazarika (ORCID: https://orcid.org/0000-0003-0911-6627)
- Qin Su (ORCID: https://orcid.org/0000-0001-9707-5153)
- Qingsong Zhao
Institutions
- Nanjing Agricultural University (CN)
- City University of Hong Kong (HK)
- Jiangsu Academy of Agricultural Sciences (CN)
- Birla Institute of Technology and Science - Hyderabad Campus (IN)
- University of Lincoln (GB)
- Birla Institute of Technology and Science, Pilani (IN)
- Nanjing University (CN)
Publication Details
- Journal
- IEEE/CAA Journal of Automatica Sinica
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1109/jas.2025.125129
- Citations
- 3
- Primary Topic
- Industrial Vision Systems and Defect Detection
- Type
- article
- Field-Weighted Citation Impact
- 3.73