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API Consumers External system integration API reliability, documentation<br>
**2.3 High-Level Requirements**<br>
- Functional Requirements
- FR-001: Support multiple independent businesses (multi-tenancy)
- FR-002: Allow users to register with 3-5 face images
- FR-003: Support IP camera integration via RTSP/RTMP
- FR-004: Perform real-time face detection and recognition
- FR-005: Track and store unknown persons
- FR-006: Generate access logs with timestamps
- FR-007: Provide REST API for external integration
- FR-008: Send webhooks for real-time event notifications
- FR-009: Support role-based access control
- FR-010: Provide camera status monitoring
- Non-Functional Requirements
- NFR-001: Process recognition events within 500ms
- NFR-002: Support 99.5% uptime SLA
- NFR-003: Handle 1000+ cameras per business
- NFR-004: Scale to 100+ concurrent businesses
- NFR-005: Maintain recognition accuracy > 95%
- NFR-006: Store data with encryption at rest
-
- NFR-007: Provide audit trails for all operations
+ Functional Requirements<br>
+ FR-001: Support multiple independent businesses (multi-tenancy)<br>
+ FR-002: Allow users to register with 3-5 face images<br>
+ FR-003: Support IP camera integration via RTSP/RTMP<br>
+ FR-004: Perform real-time face detection and recognition<br>
+ FR-005: Track and store unknown persons<br>
+ FR-006: Generate access logs with timestamps<br>
+ FR-007: Provide REST API for external integration<br>
+ FR-008: Send webhooks for real-time event notifications<br>
+ FR-009: Support role-based access control<br>
+ FR-010: Provide camera status monitoring<br>
+ Non-Functional Requirements<br>
+ NFR-001: Process recognition events within 500ms<br>
+ NFR-002: Support 99.5% uptime SLA<br>
+ NFR-003: Handle 1000+ cameras per business<br>
+ NFR-004: Scale to 100+ concurrent businesses<br>
+ NFR-005: Maintain recognition accuracy > 95%<br>
+ NFR-006: Store data with encryption at rest<br>
+
+ NFR-007: Provide audit trails for all operations<br>
+
+ #### 3. Architecture Design<br>
+ **3.1 Architecture Style**<br>
+ Microservices Architecture with event-driven components<br>
+ **3.2 Architectural Patterns**<br>
+ Multi-Tenant SaaS: Isolated data per business
+ Event-Driven Architecture: Asynchronous event processing
+ API Gateway Pattern: Single entry point for external requests
+ CQRS Pattern: Separate read/write operations for performance
+ Circuit Breaker: Fault tolerance for external integrations<br>
+ ### 4. Component Design
+ **4.1 API Gateway**<br>
+ **Responsibilities:**<br>
+ Authentication and authorization
+ Request routing to appropriate services
+ Rate limiting and throttling
+ API versioning
+ Request/response transformation
+ SSL/TLS termination
+ API analytics and monitoring
+ Technology: Kong / AWS API Gateway / Azure API Management
+ Key Features:
+ JWT token validation
+ API key authentication
+
+ Request signature verification
+ Circuit breaker for downstream services
+ Request logging<br>
+ **4.2 Business Management Service**<br>
+ **Responsibilities:**<br>
+ Business registration and onboarding
+ Business profile management
+ Business configuration settings
+ Business-level access control
+ Subscription and billing management
+ Endpoints:
+
+ Data Entities:
+ Businesses
+ Business Settings
+ API Users<br>
+ **4.3 User Management Service**<br>
+ **Responsibilities:**<br>
+ User registration and profile management<br>
+ Face image upload and storage<br>
+ Face encoding generation<br>
+ User search and filtering<br>
+ User status management<br>
+ Bulk user import/export<br>
+ Endpoints:<br>
+ POST /api/v1/businesses<br>
+ GET /api/v1/businesses/{business_id}<br>
+ PUT /api/v1/businesses/{business_id}<br>
+ DELETE /api/v1/businesses/{business_id}<br>
+ GET /api/v1/businesses/{business_id}/settings<br>
+ PUT /api/v1/businesses/{business_id}/settings<br>
+
+ **Data Entities:**<br>
+ Registered Users<br>
+ User Face Images<br>
+ Processing Flow:<br>
+ 1. Receive face image upload<br>
+ 2. Validate image quality<br>
+ 3. Extract face from image<br>
+ 4. Generate face encoding using ML model<br>
+ 5. Calculate face landmarks<br>
+ 6. Store image in object storage<br>
+ 7. Save metadata and encoding in database<br>
+ **4.4 Camera Management Service**<br>
+ **Responsibilities:**<br>
+ Camera registration and configuration<br><br>
+ Camera location management<br>
+ Camera status monitoring<br>
+ Stream URL management<br>
+ Camera health checks<br>
+ Camera settings configuration<br>
+ Endpoints:<br>
+ POST /api/v1/businesses/{business_id}/users<br>
+ GET /api/v1/businesses/{business_id}/users<br>
+ GET /api/v1/businesses/{business_id}/users/{user_id}<br>
+ PUT /api/v1/businesses/{business_id}/users/{user_id}<br>
+ DELETE /api/v1/businesses/{business_id}/users/{user_id}<br>
+ POST /api/v1/businesses/{business_id}/users/{user_id}/faces<br>
+ GET /api/v1/businesses/{business_id}/users/{user_id}/faces<br>
+ DELETE /api/v1/businesses/{business_id}/users/{user_id}/faces/{face_id}<br>
+
+ **Data Entities:**<br>
+ **Cameras**<br>
+ Camera Locations<br>
+ **4.5 Camera Streamer Service**<br>
+ **Responsibilities:**<br>
+ Connect to IP cameras via RTSP/RTMP<br>
+ Normalize video streams<br>
+ Extract frames at configurable intervals<br>
+ Preprocess frames for face detection<br>
+ Push frames to message queue<br>
+ Handle stream reconnection<br>
+ Monitor stream health<br>
+ Technology Stack:<br>
+ FFmpeg for stream processing<br>
+ OpenCV for frame extraction<br>
+ GStreamer (alternative)<br>
+ Configuration:<br>
+ Frame extraction rate: 2-5 FPS<br>
+ Image resolution: 640x480 or higher<br>
+ Supported protocols: RTSP, RTMP, HTTP<br>
+ Reconnection strategy: Exponential backoff<br>
+ Processing Flow:<br>
+
+ **4.6 Face Recognition Engine (Core AI Service)**<br>
+ POST /api/v1/businesses/{business_id}/cameras<br>
+ GET /api/v1/businesses/{business_id}/cameras<br>
+ GET /api/v1/businesses/{business_id}/cameras/{camera_id}<br>
+ PUT /api/v1/businesses/{business_id}/cameras/{camera_id}<br>
+ DELETE /api/v1/businesses/{business_id}/cameras/{camera_id}<br>
+ POST /api/v1/businesses/{business_id}/cameras/{camera_id}/heartbeat<br>
+ GET /api/v1/businesses/{business_id}/cameras/{camera_id}/status<br>
+
+ Camera Stream → Stream Reader → Frame Extractor →<br>
+ Image Preprocessor → Message Queue (frame_ready)<br>
+
+ **Responsibilities:**<br>
+ Face detection in frames<br>
+ Face recognition and matching<br>
+ Confidence score calculation<br>
+ Face encoding generation<br>
+ Match user against database<br>
+ Generate recognition events<br><br>
+ Handle multiple faces in frame<br>
+ Unknown person detection<br>
+ Technology Stack:<br>
+ Face Detection: MTCNN / Haar Cascade / YOLO<br>
+ Face Recognition: FaceNet / DeepFace / ArcFace<br>
+ Framework: TensorFlow / PyTorch<br>
+ Face Encoding: 128/512-dimensional vectors<br>
+ Processing Pipeline:<br>
+
+ Matching Algorithm:<br>
+ Input Frame → Face Detection → Face Alignment →<br>
+ Feature Extraction → Encoding Generation →<br>
+ Database Matching → Event Generation<br>
+
+ python<br>
+
+ Performance Optimization:<br>
+ Use Redis cache for frequently accessed face encodings<br>
+ Batch processing for multiple faces<br>
+ GPU acceleration for encoding generation<br>
+ Horizontal scaling with load balancing<br>
+ **4.7 Webhook Dispatcher Service**<br>
+ **Responsibilities:**<br>
+ Send recognition events to business webhooks<br>
+ Retry failed deliveries<br>
+ Sign webhook payloads<br>
+ Track delivery status<br>
+ Handle timeout scenarios<br>
+ Queue management
+ Delivery Strategy:
+ def match_face(face_encoding, business_id):<br>
+ **json:**
+ ```json
+ {
+ "event_id": "uuid",
+ "event_type": "RECOGNIZED",
+ "business_id": "uuid",
+ "timestamp": "2025-10-09T10:30:00Z",
+ "camera": {
+ "camera_id": "uuid",
+ "camera_name": "Entrance Camera 01",
+ "location": "Main Entrance"
+ },
+ "user": {
+ "user_id": "uuid",
+ "name": "John Doe",
+ "employee_id": "EMP001"
+ },
+ "recognition": {
+ "confidence_score": 0.94,
+ "image_url": "https://storage.example.com/events/12345.jpg"
+ }
+ ```
+
+ **API Response Format**<br>
+
+ **Success Response:**<br>
+ **json:**
+ ```json
+ {
+ "success": true,
+ "data": {
+ "user_id": "uuid",
+ "first_name": "John",
+ "last_name": "Doe",
+ "status": "ACTIVE"
+ },
+ "message": "User created successfully",
+ "timestamp": "2025-10-09T10:30:00Z"
+ }
+ ```
+ **Error Response:**<br>
+
+ ```json
+ {
+ "success": false,
+ "error": {
+ "code": "VALIDATION_ERROR",
+ "message": "Invalid input data",
+ "details": [
+ {
+ "field": "email",
+ "message": "Invalid email format"
+ }
+ ]
+ },
+ "timestamp": "2025-10-09T10:30:00Z"
+ }
+ ```
+
+ **Pagination Response:**<br>
+
+ ```json
+ {
+ "success": true,
+ "data": [...],
+ "pagination": {
+ "page": 1,
+ "limit": 50,
+ "total_records": 150,
+ "total_pages": 3
+ },
+ "timestamp": "2025-10-09T10:30:00Z"
+ }
+ ```
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