InCentred RecoAcc Face

Biometric Face Recognition System

InCentred RecoAcc Face is intended for detection, recognition and face search using a method of deep learning of neural networks automatically. Application is based on software and hardware solutions using GPU performance for processing and channel-based licensing models.

RecoAcc Face highlights faces, creates neural-network samples of faces and compares them with samples stored in a database. This algorithm provides a high precision face recognition process.

InCentred RecoAcc Face offers unparalleled accuracy, speed, and versatility, making it an indispensable tool for security, surveillance, and access control applications.

We, as a developer, are managing mathematical model and neural networks training. We don’t use external libraries and models.

RecoAcc Face is continuously improving based on the appearance of new technologies and customer requirements.

Main Features

Application Areas

Public security
Industrial
Retail
Banks
Transport
Entertainment
System integration

Key Benefits

Stand alone

RecoAcc Face works with practically any IP camera. RecoAcc is not locked to VMS
No hidden costs

Video channels are licensed with full functionality. No limitations. Database size is not licensed
Convenience

Easy interface. Open API. Mobile application. Telegram bot. Integration with access control systems
Performance

Optimised hardware requirements, higher performance, more supported channels on the server