Target coverage in camera networks for manufacturing workplaces

In this paper, we investigate the camera network placement problem for target coverage in manufacturing workplaces. The problem is formulated to find the minimum number of cameras of different types and their best configurations to maximise the coverage of the monitored workplace such that the given...

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Bibliographic Details
Published in:Journal of intelligent manufacturing 2016-12, Vol.27 (6), p.1221-1235
Main Authors: Hanoun, Samer, Bhatti, Asim, Creighton, Doug, Nahavandi, Saeid, Crothers, Phillip, Esparza, Celeste Gloria
Format: Article
Language:English
Subjects:
Algorithms
Approximation
Business and Management
Cameras
Control
Cultural heritage
Intelligent systems
Local area networks
Machines
Manufacturing
Manufacturing execution systems
Mathematical analysis
Mathematical models
Mechatronics
Monitoring
Networks
Optimization
Placement
Processes
Production
Robotics
Robots
Sensors
Simulated annealing
Studies
Workplaces
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Summary:In this paper, we investigate the camera network placement problem for target coverage in manufacturing workplaces. The problem is formulated to find the minimum number of cameras of different types and their best configurations to maximise the coverage of the monitored workplace such that the given set of target points of interest are each k -covered with a predefined minimum spatial resolution. Since the problem is NP -complete, and even NP -hard to approximate, a novel method based on Simulated Annealing is presented to solve the optimisation problem. A new neighbourhood generation function is proposed to handle the discrete nature of the problem. The visual coverage is modelled using realistic and coherent assumptions of camera intrinsic and extrinsic parameters making it suitable for many real world camera based applications. Task-specific quality of coverage measure is proposed to assist selecting the best among the set of camera network placements with equal coverage. A 3D CAD of the monitored space is used to examine physical occlusions of target points. The results show the accuracy, efficiency and scalability of the presented solution method; which can be applied effectively in the design of practical camera networks.
ISSN:0956-5515
1572-8145
DOI:10.1007/s10845-014-0946-z