
Key Features:
- Real-time face detection, recognition and
tracking with HD cameras - High-granularity students or employees
attendance tracking - Location reporting and match event history
- Unknown personnel and weapons alerts with 3rd
party integrations - Access automatization with biometric
authentication - [In research] Guns or concealed weapon
detection in IR spectrum
Next generation of video analysis software based on a combination of Artificial Intelligence techniques:
- Deep Neural Networks
- Machine Learning
- Computer Vision
- Advanced Image Processing

Architecture, challenges and solutions:
From a computer vision perspective, the main
challenge was building a system sensitive enough
to identify known individuals from surveillance
cameras, while also correctly flagging unknown
individuals.
Resource-wise, the challenge was to process
the video streams as efficiently as possible. We
developed a variety of heuristics and optimizations
in order to minimize the amount of expensive
computations.