In today's uncertain world, there is an increasing need for a higher level of security to protect against crime, vandalism and terrorism. Hence the advent of closed circuit television (CCTV).

CCTV is recognised as an effective way of detecting crime and enhancing public safety. However, the mounting number of surveillance cameras has lead to an information overload, where operators are unable to extract the relevant information because conventional CCTV records everything with little or no intelligence.

SmartVeillance solves this problem by using artificial intelligence to prioritize video observations so that the system can trigger alerts and bring important security issues to the attention of security staff.

SmartVeillance uses image analysis techniques to separate background and foreground and identify objects as well as to differentiate between objects of different shapes and sizes.

These techniques can be used for:

• Stationary Object Detection
• Directional Flow Control
• Speed Range Detection
• Facial Detection
• Counting