FaceNeuroVision Face Recognition system is an intelligent analytic system. FaceNeuroVision assists with offence prevention, increases security levels in public areas, controls and manages access, automates time and attendance, provides reports for businesses and marketing and improves customer service.
Core Features
FaceNeuroVision system highlights faces, creates their neural network sample and compares them with samples in a database.
FaceNeuroVision detects and recognises faces with different facial expressions, in challenging light conditions, with facial hair, glasses, scarfs, headwear and where there have been age changes.
FaceNeuroVision automates and makes the process of searching for intruders and targeted people simple.
FaceNeuroVision automates and makes the process of searching for intruders and targeted people simple.
FaceNeuroVision system implements effective monitoring of employees and visitors on site using integrated analytic features binding the person identification to the control zone of a plan.
FaceNeuroVision can be integrated with access control and it can manage access to any isolated zones as well as monitor time management and attendance.
The system collects unique statistical data about visitors and creates a thermal map with zones (visiting intensity of these zones).
FaceNeuroVision generates statistics with gender and age data, providing it for personalised media content.
Neural network is trained under extreme conditions, such as:
Face coverage
Age changes
Artificial makeup
High people occupancy
Face detection of a side profile and under any angles
Usage of ID pictures and black and white pictures.
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