Perimeter Lockout AI is a flexible and scalable solution based on Deep Learning for professional users
Detects
- Intrusion.
- Prowling.
- Crwaling.
- Dropped / removed object.
- Frontier crossing.
- Stopped vehicle.
- Vehicle driving against traffic.
Perimeter Lockout AI is a flexible and scalable solution based on Deep Learning for professional users
Thermographic analytic specifically developed to detect temperature oscillations and fire on high flammable scenarios.
Analytics developed specifically for the analysis and control of overheating of parts in critical machinery. Embedded version available.
PPE monitor automatically detects in real time whether people are wearing personal protective equipment (PPE) by means of video analysis.
At present, the concern to provide more security to critical or vulnerable facilities is growing. Facial recognition technology is unique in improving the security of access to facilities such as workstations, schools, hospitals, borders or facilities with high-level security.
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.
Facial Recognition technology is not only a first level ally for improving the security of venues, but also to increase personal security through identity verification.
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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