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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Camera Planning for Physical Safety of Outdoor Electronic Devices: Perspective and Analysis

Lei Shu, Nikumani Choudhury, Edmond Nurellari, Kai Huang et al.
3 citations
IEEE/CAA Journal of Automatica Sinica
Industrial Vision Systems and Defect Detection
3.73
article

Camera Planning for Physical Safety of Outdoor Electronic Devices: Perspective and Analysis

Lei Shu, Nikumani Choudhury, Edmond Nurellari, Kai Huang, Gerhard P. Hancke, Anakhi Hazarika, Qin Su, Qingsong Zhao
article en
3 citations

Abstract

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.

IEEE/CAA Journal of Automatica SinicaVol. 12(8)
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)
Sustainable cities and communities
Openalex Percentile: Top 8%
Industrial Vision Systems and Defect Detection
3.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.