AI-Powered Visual Surveillance for ATM Networks
Detect skimming devices, vandalism, and operational anomalies in real time
Request a pilot →Criminals install card readers and cameras to steal customer data. Detection is often too late.
Broken screens, graffiti, and intentional damage reduce availability and customer trust.
Cash jams, receipt failures, and network outages go unnoticed until customers complain.
Poor lighting, obstructions, and unsafe surroundings increase risk and reduce usage.
YOLOv8-based computer vision trained on thousands of ATM images. Detects anomalies with 94% accuracy.
Alerts ranked by severity. Critical issues like skimming devices trigger immediate security dispatch.
Visual map of your entire ATM network with color-coded status. Zoom from country to individual machine.
Track anomaly frequency, types, and locations over time. Identify patterns and predict hotspots.
REST API and WebSocket for real-time data. Integrate with your existing monitoring and ticketing systems.
Access status and alerts from anywhere. Optimized for field technicians and security teams.
HTTP endpoints for predictions, status queries, and data retrieval. JSON responses, OpenAPI documented.
Real-time streaming of alerts and status updates. Sub-second latency for critical notifications.
Push notifications to your SIEM, ticketing system, or custom endpoint. Configurable triggers.
Standalone web dashboard or embeddable widgets. White-label options available.
Join banks and ATM operators using Landvex to protect their infrastructure.
Request a pilot →