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News

Integrated ATM Surveillance

Nanjing Yuantuo Tech : 16 July, 2010  (Technical Article)
Chinese ATM protection specialist explains the analytics functions available to create more accurate alarm conditions during ATM crimes
Faced with large quantities of ATMs which are unattended and dispersed as well as difficult to patrol, the construction aim of the new ATM surveillance system from Yuantuo is based on 5 application areas including networking surveillance, alarm linkage, equipment integration, multi-user sharing and intelligent analysis.

Security measures should transform evidence collection into recognising exceptional actions, tracking and controlling the criminal processes and thus to turning passive prevention into proactive security.
  
First of all, the foundation of ATM security is network surveillance. No matter how perfect the self-prevention system is, when the alarm is raised, only through the network surveillance system can it make responses immediately and prevent crimes in time. In 2005, the Nanjing Internal Defence Agency organized an ATM networking project in the city to strengthen ATM sercurity. Four protective functions were defined including: real-time image retrieval; historic image playback; surveillance equipment patrolling and alarm transmission. Surveillance equipment such as video, vibration, infrared and proximity devices can be combined with fire control, light, access control and alarms. Under an alarm condition, the linkage can auto start the subsystems to form a joint defence.

Video intelligent behavioural recognition systems prevent various kinds of crimes on ATMs and can greatly reduce the quantity of image transmissions and surveillance points by analyzing and filtering. The intelligent recognition modes are:

  
* Recognition of card slot usage to prevent installing card retaining equipment or an unauthorised card reader on the card slot;

* Banknote output recognition to prevent criminals using sellotape to seal the banknote output feed and as soon as the cardholders leaves, they steal the cash.

* Keyboard pasting recognition to prevent criminals sticking a pad or pretending to add a keyboard to steal users' passwords;

* Fake ads or ads box recognition

* Impact recognition to prevent attacks on the ATM such as prying, smashing or cutting (vibration alarm);

* Wandering or lingering recognition

* Robbery with violence recognition enabling it to identify fights, robberies, and coercions.

* Left items recognition
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