STC-CAM1, IR-visual based smart camera system

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.

[1]  Donald G. Bailey,et al.  Design for Embedded Image Processing on FPGAs , 2011 .

[2]  Tarek Mouats,et al.  Fusion of thermal and visible images for day/night moving objects detection , 2014, 2014 Sensor Signal Processing for Defence (SSPD).

[3]  Najeem Lawal,et al.  Analysis and characterization of embedded vision systems for taxonomy formulation , 2013, Electronic Imaging.

[4]  Stefan Forsström,et al.  Challenges when Realizing a Fully Distributed Internet-of-Things - How we Created the SensibleThings Platform , 2014, ICDT 2014.

[5]  Mikael Gidlund,et al.  Power consumption for global information dissemination in the Internet of Things , 2015, 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

[6]  Najeem Lawal,et al.  Energy-Efficient SRAM FPGA-Based Wireless Vision Sensor Node: SENTIOF-CAM , 2014, IEEE Transactions on Circuits and Systems for Video Technology.

[7]  Michael Wirth,et al.  Visible and IR Data Fusion Technique Using the Contourlet Transform , 2009, 2009 International Conference on Computational Science and Engineering.