IV Sentinel AI for ATM Security
Edge-based Smart Motion and Vision Language AI for detecting abnormal ATM behavior, generating in-context scene descriptions, and keeping AI video analysis on-premise.
VLM SCENE DESCRIPTION
“A hooded individual wearing a mask and dark clothing is forcefully interacting with the ATM. The behavior indicates tampering is in-progress.”
ATM attacks are more than motion events
Traditional motion detection can identify movement, and deep learning models can detect known objects. But these systems cannot explain whether behavior is normal customer activity or abnormal, nefarious conduct. IV Sentinel AI combines IntelliVision Smart Motion analytics with Vision Language Model reasoning — Smart Motion detects relevant activity, then VLM analysis evaluates selected video for ATM-specific context, abnormal behavior, and scene-level detail.
Glass Breaking
Smoke / Fire Alarm
Loud / Abnormal Sound
Aggressive Voices / Screaming
Gun Shot / Firearm
Dog Barking
Baby Crying
Siren (Police)
Analytics Scenarios
Real-Time Notifications
Smoke alarms, breaking glass and loud noises such as raised voices or even gunshots can be detected and used to trigger an event or sent to a smart phone on or off the premises.
Business Security
Security in reception areas and lobbies can be enhanced by detecting loud noises such as aggressive voices, alerting security personnel to potential threats.
Remote Dwellings
Great addition to Smart Home applications for security in an empty home during the day or night. The sound of a dog barking or glass breaking can be used to trigger recording or can be sent to a smart phone.