“
...video analytics can alert security guards to packages and luggage left within a scene...”
It has been proven that CCTV operators begin to miss significant events after monitoring video footage for more than twenty to thirty minutes. This effect is multiplied by the large number of screens that operators are now required to monitor in a control room environment. Analytics can be used to assist in highlighting notable events, thereby allowing operators to do what they do best; deciding whether an incident is suspicious or not. Security functions can therefore handle more cameras more effectively with their existing staff. The job of monitoring is also made more stimulating, removing the need to constantly survey a wall of video screens for long periods. In replacing guards with yet more cameras, the net effect is to create more footage and screens for the operators to monitor. Supporting the guards with analytics means the ability to switch guards to mobile patrols based on analytics incidents, covering a larger area more effectively and responding to real incidents more quickly, rather than just following a routine guard tour. Above all, analytics also enables
security teams to highlight potential risk situations that are taking place and have patrols pre-empt and prevent incidents rather than just respond after an incident has occurred.
Perimeter Protection There are a number of video analytics packages available in the market today, all offering a multitude of capabilities, and not always linked to security.
However, the majority of installed systems have focused on one of video analytics’ core competencies: perimeter intrusion detection systems. Security officials at airports around the world need to deliver powerful intrusion detection systems that secure their site's perimeters, provide electronic access control, and supply integrated video assessment solutions for unmatched site protection. These can supplement fences,
or replace external PIRs, seismic detectors etc., allowing the user to identify specific areas where intruders will be identified. Potentially this includes virtual ‘fence’ lines that will trigger when an intruder climbs over it (rather than when a guard patrols along it), tripwires that trigger when crossed in specific directions and alert areas, such as nearby roads, which will trigger if a car-sized object dwells in them for too long.
Combining these rules ensures only suspicious behaviours trigger the alarms and not spurious objects such as the local wildlife or weather related effects.
Eliminating such false alarms in a sterile zone is a primary test in the HOSDB’s evaluation of video analytics systems. This specific scenario continues to be a much demanded i-LIDS accreditation, as increasing numbers of end users and integrators realise the performance and cost benefits of video analytics in perimeter detection type applications.
Return on Investment Although attracted by the benefits of video analytics, security managers have always faced challenges in justifying the investment in what has been perceived as a premium technology. One method of providing a clear return on investment is to look at the existing costs for a business, or its losses. Prevention is almost always cheaper than cure. Although not a universal panacea, the ability of analytics to highlight suspicious behaviour and let operators react to and prevent them from turning into incidents rather than just reviewing video to help catch suspects or manage incidents after the event, can provide quick returns in avoiding loss and damage.
Daniel Wan is Channel Marketing Leader UK at Honeywell Security Group. Honeywell’s new Active Alert v4.7 video analytics solution, has been evaluated by the UK Home Office Scientific Development Branch (HOSDB) and awarded i-LIDS accreditation both as a primary detection system in an operational alert role and as an event based recording system for sterile zone monitoring applications.
December 2011 Aviationsecurityinternational
www.asi-mag.com 31
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52