How Effective Is Knife Detection Video Analytics?
Knife Detection Video Analytics – How effective is knife and carried weapons detection by video analytics?
Knife and gun detection analytics can be effective and might allow faster situational awareness and more rapid response to incidents by security officers and police officers, but it’s not plug and play.
We’d argue security teams need to combine weapons detection portals at the entry and video analytics throughout a site to give a high degree of assurance within the sterile zone. Using video analytics alone, while useful, would not provide the same safety guarantees.
Knife Detection Video Analytics
There are challenges to IVA weapons detection applications – the primary one being to ensure sufficient resolution is delivered to give the system data enough for discerning detection. Detection range is relatively close – within 5-15 metres of the lens with a balance of focal length and sensor resolution sufficient to deliver more than 40 pixels per foot of viewing angle.
An AI weapons detection solution typically needs the weapon to cover around 5 per cent of the scene for accurate detection. The weapon also needs to be uncovered for half its length. Furthermore, light levels need to be reasonably high – greater than 200 lux – while the weapon needs to be visible for a minimum length of time – around 1 second at least but preferably more.
Another element of weapons detection feeds into duty of care. If the organisation is detecting weapons, who is responding and what is their training in such response? Further, what is the integration with the evacuation system and what are communications and response procedures with law enforcement?
There’s more information on the Evolv entry weapons detection system here, details about Visionify knife and firearm detection here and more SEN news here.
“How Effective Is Knife Detection Video Analytics?
