A Robotic Surveillance Platform Based on an On-board Computer Vision Approach
Ahmed Ibrahim, Zainhom Sayed Ghareeb, Omar M. Shehata, El-Sayed Imam Morgan · 2016
Surveillance and monitoring systems are considered to be one of the most reliable and commonly used type of security systems. These systems rely heavily on human interaction for optimal operation. In an environment where a high level of security is needed, problems caused by human errors are not acceptable. By eliminating human interaction from automatic surveillance systems, a more reliable security system can be created for a better rate of crime detection and prevention. This can only be achieved by introducing computer vision capabilities to these systems. These autonomous systems should be able to gather and collect information from the frames captured by the Closed-circuit television (CCTV) cameras and use them for different applications such as vehicle number plate recognition, face recognition, etc.