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FaceMine.Ai Biometric Face Detection & Anti-Spoofing Liveness provides an enterprise-grade Computer Vision APIs designed for face detection across both static images and dynamic video streams.
Overview
FaceMine.Ai Biometric Face Detection & Anti-Spoofing Liveness provides an enterprise-grade Computer Vision APIs designed for face detection across both static images and dynamic video streams. Built for developers who need precision without complexity, our API delivers accurate bounding box coordinates in a streamlined JSON format.
Beyond simple detection, FaceMine.Ai also features advanced anti-spoofing liveness technology to distinguish between real human presence and presentation attacks (such as photos, masks, or digital screens), making it an ideal solution for identity verification and secure user onboarding.
Highlights
- Enterprise-Grade Face Detection: Delivers high-precision bounding box coordinates in a streamlined JSON format for both static images and dynamic video streams, allowing developers to integrate complex computer vision without added complexity.
- Advanced Anti-Spoofing Technology: Features sophisticated liveness detection to distinguish between real human presence and presentation attacks, including photos, masks, or digital screens.
- Secure Identity Verification & Onboarding: Provides a robust solution for automated user onboarding and identity verification by ensuring the physical presence of a real person
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Dimension | Description | Cost/request |
|---|---|---|
Standard Based Usage | Per successful processing request for face detection | $0.05 |
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Facemine API Overview and Usage Instructions
FaceMine: Biometric Face Detection & Anti-Spoofing Liveness
FaceMine provides enterprise-grade Computer Vision APIs designed for face detection across both static images and dynamic video streams. Built for developers who need precision without complexity, our API delivers accurate bounding box coordinates in a streamlined JSON format.
Beyond simple detection, FaceMine features advanced anti-spoofing liveness technology to distinguish between real human presence and presentation attacks.
Your API key must be passed in the Authorization header for all API calls in the following format: Bearer API_KEY
See Swagger API usage doc at http://www.jcentricity.com/swagger_photo.json
See code sample at http://www.jcentricity.com/fcm_code_sample.html
1. Photo Face Detection Service
Locate and identify human faces within static image files to receive their spatial coordinates.
- Endpoint: POST /aws/api/photo/faces/detect
- Description: Analyzes an image and returns an array of bounding boxes for detected faces.
- Output: Returns an array of FaceDetectionResult objects.
FaceDetectionResult:
| Field | Type | Description |
|---|---|---|
| X | integer | The X-coordinate of the top-left corner of the detected face. |
| Y | integer | The Y-coordinate of the top-left corner of the detected face. |
| Width | integer | The width of the bounding box around the face. |
| Height | integer | The height of the bounding box around the face. |
2. Video Face Detection Service
Analyze video content to detect faces across frames with associated timestamps.
Asynchronous Video Detection (Recommended)
- Endpoint: POST /aws/api/video/faces/detect
- Description: Starts an asynchronous job to detect faces in a video.
- Output: Returns a JobResponse object.
JobResponse:
| Field | Type | Description |
|---|---|---|
| jobId | string | Unique identifier for the processing task (e.g., aadf167a-f583-478e-bd25-1fa2947bb5a6). |
| status | string | Current state of the job (e.g., Processing, Pending, Failed). |
Fetching Video Results
- Endpoint: GET /aws/api/video/faces/detect/jobId/{jobId}
- Description: Retrieves the results of a completed video detection job using the provided jobId.
- Output: Returns an array of VideoFaceDetectionResult objects or JobResponse with status
VideoFaceDetectionResult:
| Field | Type | Description |
|---|---|---|
| X | integer | The X-coordinate of the detected face. |
| Y | integer | The Y-coordinate of the detected face. |
| Width | integer | The width of the bounding box. |
| Height | integer | The height of the bounding box. |
| ElapsedSeconds | double | The specific time in the video (seconds) where the face was detected. |
3. Photo Anti-Spoofing Liveness Service
Verify if the subject in a photo is a real person or a spoofing attempt, such as a paper printout or digital screen.
- Endpoint: POST /aws/api/photo/liveness
- Description: Detects if the person in the photo is real or a spoof (paper/screen).
- Output: Returns an array of LivenessResult objects.
LivenessResult (array of boundingBox objects):
| Field | Type | Description |
|---|---|---|
| boundingBox | object | Comprehensive coordinate data including top, bottom, left, right, location, and size. |
| livenessScore | double | Numerical score indicating the likelihood the subject is a real person. |
| status | string | Classification result (e.g., Real Person). |
| probabilities | object | Probability breakdown for screen, paper, and real categories. |
Security & Authentication
- Security Scheme: Bearer Token
- Header: Authorization: Bearer API-KEY
- Note: Your unique API-KEY is provided in the JSON returned during the registration process.
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