We transform conventional security cameras into intelligent sensors capable of detecting, classifying and acting in real time. Our AI module runs on the edge and in the cloud for maximum speed and scalability.
Real-time detection of people, vehicles, animals and specific objects (helmets, vests, bags) using YOLO and Vision Transformer models trained on industrial and security datasets. <100ms latency on edge.
High-precision facial recognition system for access control, attendance and security. Configurable whitelist/blacklist, bulk enrollment via photos and encrypted database. GDPR compliant.
Automatic license plate recognition (LPR/ANPR) with >97% accuracy in variable lighting conditions. Integration with vehicle access systems, parking and perimeter security.
Bidirectional people counting, density analysis and traffic heat maps in commercial spaces, stations and events. Aggregated data in CloudConnect for capacity analysis and operations optimization.
Inference box based on NVIDIA Jetson and Hailo-8 for local processing without cloud dependency. Ideal for installations with limited connectivity or critical latency and data privacy requirements.
We train custom models for specific use cases: production line defect detection, livestock counting, equipment identification and any object or behavior relevant to the client.
It's the use of AI models so cameras and video sensors don't just record but interpret what they see: detecting people, vehicles, objects and behaviors in real time and generating alerts or actionable data instead of hours of unanalyzed footage.
In most cases yes. We assess your current infrastructure (cameras, VMS, bandwidth) and add AI processing at the edge or centrally, without forcing a full system replacement.
We offer both models. Edge processing runs the AI directly on the camera or a local gateway, without relying on constant connectivity or exposing video off-site; the cloud model centralizes analysis across multiple sites in CloudConnect.
No. Besides security and access control, we apply it in retail (counting and flow), industry (process control and PPE), agriculture (livestock monitoring and access) and municipalities (mobility and public space).
It's configured to the local regulatory framework: it's possible to run fully anonymous detection and counting, with no facial recognition, limited data retention, and local processing to minimize video ever leaving the site.