Video Analytics is a rapidly expanding sector of the security industry. Advances in technology mean that the monitoring and analysis of CCTV pictures which used to take the dedicated attention of security personnel can now be automated, helping to reduce human error and saving your business time and money.
Alarm or Statistics-based: The system will continuously monitor a CCTV image and will create an alarm if certain behavior occurs. This could be the behavior of a person, a vehicle – anything that moves. Once a normal pattern of movement is established, the system will identify abnormal movement and will trigger an alarm.
A statistics-based scenario is one where the CCTV camera is gathering useful information to be analysed some time later such as people counting in large retail and entertainment venues and activity analysis in casinos.
Intruder Detection: The system will reliably detect intruders with a very low false alert rate. When an alert does occur, the operator is instantly shown the image that produced it, allowing an ‘at a glance’ assessment to be made without the need for switching and/or training cameras on the alert zone.
Conditions can be user-defined to produce an alert – time of day, presence of a valued item, absence of an object, presence of only one person etc.
Behavioral Analysis: Some situations offer no substitute for the trained eye of an experienced CCTV operator, however many more routine behaviors, such as approaching a secure perimeter or loitering in a car park, are easily analysed. It is these scenarios where video analytics can be most effective, providing 24 hours a day vigilance at a fraction of the cost of employing additional control room staff.
- Motion of stationary objects: if, for example, an exhibit in a museum or art gallery starts to move then the operator will receive an alarm
- Non Motion Detection of objects: for example no motion of abandoned luggage at airports or abandoned vehicles in sensitive or high risk areas
- Virtual Tripwire / Sterile Zone Monitoring: for use in applications like detecting intruders in high security or safety sensitive sites like Airport Runways, Railway Tracks, High Rise landmarks etc.
- Motion Direction of Objects: Identifying Counter Flow where people/traffic are moving in either a wrong or unexpected direction such as the wrong way in a one way system; also to identify people, vehicles etc. visiting sites under surveillance
- Loitering Detection: loitering can quite often be a precursor to crime so a person or persons hanging around a site particularly a known trouble spot will be identified and the operator’s attention drawn to the situation
- Tailgating in Access Control: to identify if an individual or vehicle follows too closely the person or vehicle in front to get past access controlled entrances or barriers
- People or Vehicle Counting: used to identify overcrowding in queues say at airports, railway stations, supermarkets etc.; for marketing purposes to identify the number of people visiting different parts of a shopping centre so rents can be calculated