FNV Appliance Ultra Compact Facial Recognition Solution
FNV Appliance is a small unit for a biometric face recognition ideal sites where installation of traditional servers or workstations can be either complicated or impossible.
FNV Appliance assists with offence prevention, an increase of security levels in public areas, controls and manages access, automates time and attendance, provides reports for businesses and marketing and improves customer service.
FNV Appliance assists with offence prevention, an increase of security levels in public areas, controls and manages access, automates time and attendance, provides reports for businesses and marketing and improves customer service.
FNV Appliance undergo mandatory testing and inspection and has the EAC certificate, that demonstrates the high quality of the manufactured devices.
Core Features
FaceNeuroVision highlights faces, creates their neural network sample and compares them with other 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 notifies about the events via email, API or in the application.
FaceNeuroVision automates and makes the process of searching for intruders and targeted people simple.
FaceNeuroVision implements effective monitoring over employees and visitors on site using integrated analytic features binding the person identification to the control zone of a plan.
*in the “distributed infrastructure” mode
*in the “distributed infrastructure” mode
FaceNeuroVision can be integrated with access control and it can manage access to any isolated zones as well as monitor time management and attendance.
FaceNeuroVision collects unique statistical data about visitors and creates a thermal map with zones (visiting the intensity of these zones).
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Applications
Applications
Retail
Cafes, restaurants
Pharmacies
ATMs
Petrol stations
FNV Appliance is already used by
FNV Appliance is already used by
Downloads
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