All features
Face Recognition
Suspected Face Evasion Detection
Evaluate behavior that may indicate an attempt to hide a face using consecutive pose signals rather than a single frame, with measurements and an image for review.
01
What does it deliver?
Uses camera-specific calibration
Provides reviewable posture metrics
02
How does it work?
Calibrate the camera
Establish camera-specific baselines for head clearance and torso angle.
Monitor pose signals
Evaluate head drop, torso bend, and face-cover scores across consecutive frames.
Confirm the event
Create a record with image, identity, and metrics when duration and frame thresholds are met.
03
Key capabilities
Head-clearance and torso-angle calibration
Head-drop signal
Torso-bend measurement
Face-cover score
Confirmation frame count and duration
Camera/location-filtered event list
04
Where to use it
Controlled entrance points
Suspected identity-concealment review
High-security areas
05
Frequently asked questions
Does one frame trigger an event?
Events are evaluated using temporal confirmation, minimum frames, and duration measurements.
Can each camera be calibrated separately?
Yes. Baseline clearance and torso values can be stored for each camera angle.
Does the result prove malicious intent?
No. It is a review signal that requires context and human verification.
Configure it together
See the right Visentry workflow for your organization.
Let's review your cameras, locations, and security scenarios together.