Making Unmanned Surveillance Systems Truly Reliable
by Puneet Gupta (Senior Manager, System Solutions)
Video surveillance systems often find applications in areas where manual monitoring of the surveillance feed is either not feasible or is prohibitively costly (ex: toll plazas, hazardous material leaks, underground rigs, parking lots or train stations). In such cases, automation techniques are used to substitute human intervention:
Reliability of event detection determines the real success of this mechanism. Machine vision algorithms like Vehicle or People Counting, Automatic License Plate Recognition (ALPR), Object Tracking, Motion Detection etc. are typically be used to generate video-based events.
Another key requirement for such an unmanned installation is the hardware robustness. Surveillance scanners, IP cameras and Digital Video Recorders (DVRs) often operate in harsh environmental conditions (extreme temperatures, heavy rains, snowfall, chemical fumes, etc.). It is imperative therefore that the embedded processor, peripherals, connectors & boards function stably under such environmental conditions. Despite having the best video processing & machine vision algorithms, the surveillance system cannot guarantee reliable performance if the hardware fails under stress.
Ittiam’s neonCaster hardware (Clove, Magna) and pre-configured systems can be good candidates for realizing such unmanned surveillance systems.
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