VisionAIre
  • About Nodeflux
  • Visionaire Stream
    • Overview
    • Requirements
      • Credential Keys
      • Tested Hardware
      • Bandwith Requirements
    • Installation Guide
      • Dependencies
      • Simple Installation
      • Advanced Installation
      • Clustering Installation
      • Add-ons Analytics Installation
        • People Attributes Installation
        • Vehicle Attributes Installation
        • OVOD Installation
        • OVIC Installation
        • VM Installation
        • VLM Installation
    • Analytics
      • Face Recognition
        • Additional Information
          • Overview
          • Disclaimer
          • Metrics
          • Testing
      • People Analytics
      • Crowd Estimation
      • PPE Detection
      • License Plate Recognition
      • Vehicle Analytics
      • Water Level Monitoring
        • Camera Guideline
      • Pre-Flood Monitoring
      • Person Smoking Detection
      • Person with Handphone Detection
      • Smoke and Fire Detection
      • Person Using Firearms Detection
      • Vandalism Attempt Recognition
      • ATM Burglary Incident Recognition
      • Road Crash Monitoring
      • People Fighting Recognition
      • Riot Recognition
    • Developer Guide
      • How our APIs work
      • HTTP APIs
      • Websocket
      • Database Structure
    • Changelogs
  • Visionaire Snapshot
    • Overview
    • Requirements
    • Installation Guide
      • Face Searching & Matching
        • Single Node
        • Clustering
      • Helmet Detection
      • Chicken Estimation
      • Face Detection
      • Over Dimension Over Load
      • Frontal License Plate Recognition
    • Analytics
      • Face Searching & Matching
        • Face Enrollment
          • Image Guideline
          • Face and Image Quality Assessment
            • Setup On Premise
            • API
          • Insert / Update / Delete Enrollment
          • Batch Enrollment
      • Helmet Detection
      • Chicken Estimation
      • People Demography
      • Face Detection
      • Over Dimension Over Load
      • License Plate Recognition -Frontal
    • Developer Guide
      • APIs
        • Face Searching & Matching
        • Helmet Detection
        • Chicken Estimation
        • People Demography
        • Face Detection
        • Over Dimension Over Load
        • Frontal License Plate Recognition
      • Vanilla APIs for Face Enrollment
      • Porting Enrollment Database Cluster to Docker
    • Changelogs
  • VisionAIre Dashboard
    • Introduction
    • Add Analytic Assignment
    • Accessing Vanilla Database
    • Connect to Vanilla Websocket
    • Create your own visualization
      • Migration from Old Streamer to New Streamer
      • Drawing Region of Interest
      • Additional Visualization Query
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  • Image Configuration
  • General
  • Analytics
  • Sample Image for Enrolment
  • Acceptable Condition
  • Conditional
  • Not Recommended

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  1. Visionaire Snapshot
  2. Analytics
  3. Face Searching & Matching
  4. Face Enrollment

Image Guideline

Disclaimer

In a sense of deep learning technology, the performance of this analytic might slightly differ in your environment, depending on several variables such as camera specs, camera height, camera angle, weather conditions, etc. We highly recommend you to test our analytics and run benchmarks on your own images, with ground truth or your quality expectations prepared beforehand. Please contact us for more info.

Image Configuration

General

Image Setting

Recommendation

Accepted Image format input

.JPEG OR .JPG

Maximum image size

800Kb

Minimum image dimension

200 pixels x 200 pixels

Maximum image dimension

2000 pixels x 2000 pixels

Analytics

Image Setting

Recommendation

Face per Image - Face Enrolment

1

Face per Image - Face Face Match

1 for both image

Face per Image - Face Recognition

Any

Minimum Face Size for Enrollment

200 pixels x 200 pixels

Minimum Face Size for Face Recognition

200 pixels x 200 pixels

Face posture

Frontal, selfie pose

Accepted face tilt

<15°

Accepted head rotation

<30°

Sample Image for Enrolment

Acceptable Condition

The images below are the reference for face analytics.

Conditional

The following view configurations are acceptable but are not recommended, as they might impact analytics performance.

Not Recommended

In addition, there are other conditions that might affect the performance of the analytics, including (but not limited to) those listed in the following images.

PreviousFace EnrollmentNextFace and Image Quality Assessment

Last updated 2 years ago

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Frontal face, one face per image
Head rotation <30° (left)
Head rotation <30° (right)
Black and White with Clear Face View
Blurred image
Face in glossy paper
Image with backlight
Wearing any type of face cover
Wearing sunglasses
Multiple faces within one photo
Face too small and not frontal
Face with a lot of noise
Face facing left/right.