IoT Monitoring Solutions for ATM Safety

Posted by rajaram patil on October 26th, 2021

There are various kinds of IoT monitoring tools that go a long way towards ensuring overall ATM safety above all else. Zicom has its own exclusive AIoT setup for virtual ATM security and this integrates diverse modules that function in areas like security and energy and fire management. The solution harnesses an integrated perspective towards things while offering better infrastructure and data on asset performance along with enabling identification of opportunities for optimizing energy. It also enables intrusion detection on a real-time basis. The ATM tracking solution at Zicom is tailored to simplify overall operations while lowering operational and maintenance spends via unified platforms. The advanced sensors, smart cameras and integrated IP panels make sure that there are no environment, energy, security of safety glitches.

This system also reduces wastage of energy along with optimization of resource utilization through tracking and management of energy sources remotely. All ATM locations are secured with total visibility at every site on a 24-hour basis. The active deterrence feature has AI-backed smart cameras detecting and alerting people if there are any threats while offering early warnings at the same time. There are real-time alerts and notifications which are spurred via intelligent thermal, seismic, displacement, motion and door sensors. There is real-time and two-way communication via audio between the ATM location and the Zicom Command & Control Station. This helps neutralize prospective threats while also combating vandalism.

The highly advanced AI-based solution will help in detection and alerting of any activity which is abnormal or suspicious within the ATM premises or lobby. This includes people who are wearing helmets at the time of ATM transactions, those with faces fully covered inside, those carrying any weapons inside, those staying for more than 5 minutes within the ATM lobby, two or more people within the ATM as part of crowd detection features and people bending down for a duration exceeding 20 seconds. There will be alerts if ATM machines are displaced by people, if the hands are raised above the shoulder level and if there is any masking or tampering of the camera.