Perimeter Lockout AI is a flexible and scalable solution based on Deep Learning for professional users.
Vessel detection, positioning and tracking system for maritime, fluvial and port scenarios, with either fixed or on-board camera.
Analytics for Thermographic cameras especially developed to monitor, analyze and detect flames and flares in industrial scenarios.
Analytics developed specifically for the analysis and control of overheating of parts in critical machinery.
Analytics developed specifically to detect the heating of vehicles and their components.
Analytics specifically developed to detect defects in the coating of containers of critical materials.
Analytical for thermographic cameras developed specifically to detect gas and liquid leaks.
PPE monitor automatically detects in real time whether people are wearing personal protective equipment (PPE) by means of video analysis.
Access control – facial recognition system in stations and restricted areas.
SCAN is an entirely frictionless experience that allows users to naturally walk to the door, and in real-time use your face as your credentials. SCAN will quickly authenticate you against a database of 20,000 images. It’s simple, intuitive, and secure. SCAN easily integrates with any access control solution which ensures a quick and cost-effective installation.
Capacity control system in wagons and stations.
Face mask detection system in wagons and stations.
HTC Server Based is an advanced analysis system for human temperature control. We also have an embedded version for Axis cameras.
Aware is a powerful cloud-based video management system (VMS) equipped with integrated machine learning and AI capabilities.
Shoplifting detection is a constant challenge for the retail sector, where loss of merchandise not only affects profits, but also security and customer experience. Implementing an effective solution is essential to protect both the products and the integrity of the business. Grekkom Thief Detector is presented as an advanced and efficient solution to address this […]
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