Visentry
All features

Face Recognition

Face Recognition and Matching

Use face templates created from authorized employee and person photographs to match live camera observations, with context and confidence metrics for human review.

01

What does it deliver?

01

Speeds up manual identity checks

02

Links entry and exit events to people

03

Provides reviewable evidence for human oversight

02

How does it work?

1

Enroll people

Securely add an authorized person's profile and reference photographs.

2

Compare faces

Compare templates extracted from live frames with enrolled faces using similarity metrics.

3

Verify the result

Present the match with image, time, camera, and confidence information to an authorized user.

03

Key capabilities

Multiple reference photos per person
Cosine similarity and Euclidean distance
Known and unknown person separation
Person-level alert history
Role-based media access
Employee photo API synchronization

04

Where to use it

Authorized personnel verification

Enterprise entrance security

Post-incident person review

05

Frequently asked questions

Is a match conclusive proof of identity?

No. Matching is probabilistic, and critical decisions require verification by an authorized person.

Can a profile contain multiple photos?

Yes. Multiple reference images are supported and varied images may improve real-world performance.

Who can view the data?

Person and media access is restricted by workspace ownership and role-based permissions.

Configure it together

See the right Visentry workflow for your organization.

Let's review your cameras, locations, and security scenarios together.

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