iCetana has developed and patented an innovative AI-assisted video monitoring solution that enables a more effective approach to the monitoring of video surveillance networks. iCetana integrates with existing video surveillance infrastructure, automatically self-learns what is normal for each camera scene and then presents only abnormal activity in real-time to the control room operators.
Large video surveillance networks have many screens to monitor and usually even more cameras feeding the screens. This means that for any practical operational situation, few if any, incidents are likely to be seen in real time because of the large amount of video information presented to the system operators.
The extensive iCetana reporting capability allows for improved use of cameras, operations and security staff resources. In addition, iCetana can develop customised reporting forms for clients at any time.
A common example is the development of Police specific incident reports, saving time where these reports were manually produced.
The extensive iCetana reporting capability allows for improved use of cameras, operations and security staff resources. In addition, iCetana can develop customised reporting forms for clients at any time.
Where iCetana monitors public spaces, safety incidents are intercepted and resolved in many cases before a real incident of public safety concern occurs.
Where iCetana is deployed and incidents are stopped, the people involved will soon believe that their activity will be readily detected and so they tend to change behaviour or move to other locations where intervention is not as effective.
System operators can direct security staff in real time to incidents, meaning problems of violence, bullying, property damage, graffiti, theft and so on can be more readily stopped, making security resources more effective. Our experience is that with iCetana installed, the effectiveness of security resources more than doubles in terms of incidents intercepted.
With iCetana, an existing video surveillance system can increase cameras and coverage by a factor of 5 to 10 with the same number of system operators. It is also possible to reduce or redeploy staff as for a static video surveillance system because relevant incidents are reported in real time, thereby significantly reducing the average 1-2 hours search time.
Some new video surveillance systems might be planned for only iCetana screens in the operations centre, with all video streams being recorded in the conventional manner. This new business model would significantly reduce operational costs. In addition, a number of video surveillance systems might be aggregated as one control centre, with each system having its own iCetana screens monitored by staff at any location. This avoids duplication of resources, allows for third party management and economies of scale for smaller video surveillance system operators.
