Tackle information overload – CCTV is of little value if relevant information is not separated from the irrelevant (vast)

Overcome ineffective response – manual analysis of CCTV data is hugely expensive in terms of time, inconsistency and manpower

Avoid potential higher cost by the risk of missing vital information – human attention span less than 15-20 minutes

Integrated holistic profiling, detection & response management

From post-mortem detection to future event prediction – on the fly analysis for assisting decision making at the right time

Out of the extensive research into video analytics undertaken by the Vision Laboratories at Queen Mary University of London led by Professor Shaogang Gong, Vision Semantics is developing a pipeline of solutions for commercially viable applications through collaboration with partners that have specific knowledge of market needs for this technology.