Face Recognition

Recognizes and identifies faces of people looking at the cameras.

Related Products

Tabletop Demo Kits

PADK-0017

PADK-0018

PADK-0021

Resources

Face Analysis Solutions

Face Analysis Solution whitepaper introduces how ACTi utilizes face relevant metadata, including age, gender, emotion and identity, to optimize business intelligence and operation management of various markets through real-time event handling and comprehensive reports.

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Tools

Face Analysis Camera Selector

Choose the most applicable camera, settings and installation based on your application and location.

Project References

Related Applications

Business Intelligence
Operation Management
Security Management

Returning Customer Frequency

Find out the frequency of visits of loyal customers with or without knowing their identity.

Attendance Management

ACTi's Attendance Management Solution Package is a convenient solution for keeping track of the arrival and leaving of the employees.

Customer Profiling

Identify the customer by face recognition and link it with purchases for profiling purposes.

Digital Signage

Show predefined digital content on the public monitors with customized layout, based on predefined schedule or event rules.

Incident Management

Manage all customer, visitor, employee and equipment related incidents with automated detection and handling.

VIP Identification for Instant Services

Get notified about the arrival of a VIP customer or visitor so that the best possible service could be provided instantly.

Special Patient Loitering Detection

Detect the special patient in the areas of the hospital which could be seen as a concern and notify the personnel immediately.

Identity Fraud Investigation

Verify the suspicious use of access credentials by using the video management system.

Access Control

High-accuracy face identification can be used for an additional layer of security to the ID card. Upon identity mismatch, the system denies access and sends a video notification.

Attention List

Automatically detect the person who is listed in attention database so that the employees could pay extra attention to that person.