In Action – an example
It’s 3am on a weekday and the motion sensor of an ATM detects 61 seconds of activity without a transaction. the ‘normal’ situation would be that transactions take place within 60 seconds after motion is detected. Besides, our data tells us the timeframe is notorious for being ideal to perform a gas attack. The combined information from motion sensor, transaction system and the parameter for time (forming an abnormality) will trigger an automated event. A warning will be issued to the required parties which in turn will lead human verification, which may lead to either dismissal, discouragement or the shutting down of the ATM. Activating sirenes, strobes, degrading the cash inside the cassettes and activating the GPU to suppress a potential gas explosion. Moreover, the operator can immediately alert the police, who will also have instant access to CCTV footage for verification, providing situational intelligence for the patrols in the vicinity.