Muhammad Imran
ABSTRACT
Safety-critical applications require robust and real-time surveillance. For such applications, a vision sensor alone can give false positive results because of poor lighting conditions, occlusion, or different weather conditions. In this work, a visual sensor is complemented by an infrared thermal sensor which makes the system more resilient in unfavorable situations. In the proposed camera architecture, initial data intensive tasks are performed locally on the sensor node and then compressed data is transmitted to a client device where remaining vision tasks are performed. The proposed camera architecture is demonstrated as a proof-of-concept and it offers a generic architecture with better surveillance while only performing low complexity computations on the resource constrained devices.
- M. Imran, K. Shahzad, N. Ahmad, M. O'Nils, N. Lawal, B. Oelmann, "Energy-Efficient SRAM FPGA-Based Wireless Vision Sensor Node: SENTIOF-CAM," IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 12, pp. 2132, 2143, Dec. 2014Google Scholar
Cross Ref
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Index Terms
- STC-CAM1, IR-visual based smart camera system
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