System Requirements Specification (SRS)

WiFi-DensePose System

Document Information

Version: 1.0
Date: 2025-01-07
Project: InvisPose - WiFi-Based Dense Human Pose Estimation
Status: Draft

1. Introduction

1.1 Purpose

This document specifies the system requirements for the WiFi-DensePose system, a revolutionary privacy-preserving human pose estimation platform that transforms commodity WiFi infrastructure into a powerful human sensing system.

1.2 Scope

The system enables real-time full-body tracking through walls using standard mesh routers, achieving 87.2% detection accuracy while maintaining complete privacy preservation without cameras or optical sensors.

1.3 Definitions and Acronyms

CSI: Channel State Information - WiFi signal characteristics containing amplitude and phase data
DensePose: Dense human pose estimation mapping 2D detections to 3D body models
MIMO: Multiple-Input Multiple-Output antenna configuration
AP@50: Average Precision at 50% Intersection over Union
FPS: Frames Per Second
RTMP: Real-Time Messaging Protocol

2. Overall Description

2.1 Product Perspective

The WiFi-DensePose system operates as a standalone platform that integrates with existing WiFi infrastructure to provide human sensing capabilities across multiple domains including healthcare, retail, and security applications.

2.2 Product Functions

Real-time human pose estimation through WiFi signals
Multi-person tracking and identification
Cross-wall detection capabilities
Domain-specific analytics and monitoring
Live streaming and visualization
API-based integration with external systems

2.3 User Classes

Healthcare Providers: Elderly care monitoring, patient activity tracking
Retail Operators: Customer analytics, occupancy monitoring
Security Personnel: Intrusion detection, perimeter monitoring
Developers: API integration, custom application development
System Administrators: Deployment, configuration, maintenance

3. Hardware Requirements

3.1 WiFi Router Requirements

3.1.1 Compatible Hardware

Primary: Atheros-based routers (TP-Link Archer series, Netgear Nighthawk)
Secondary: Intel 5300 NIC-based systems
Alternative: ASUS RT-AC68U series

3.1.2 Antenna Configuration

Minimum: 3×3 MIMO antenna configuration
Spatial Diversity: Required for CSI spatial measurements
Frequency Bands: 2.4GHz and 5GHz support

3.1.3 Firmware Requirements

Base: OpenWRT firmware compatibility
Patches: CSI extraction patches installed
Monitor Mode: Capability for monitor mode operation
Data Streaming: UDP data stream support

3.1.4 Cost Constraints

Target Cost: ~$30 per router unit
Total System: Under $100 including processing hardware
Scalability: 10-100x cost reduction vs. LiDAR alternatives

3.2 Processing Hardware Requirements

3.2.1 Minimum Specifications

CPU: Multi-core processor (4+ cores recommended)
RAM: 8GB minimum, 16GB recommended
Storage: 50GB available space
Network: Gigabit Ethernet for CSI data streams

3.2.2 GPU Acceleration (Optional)

CUDA Support: NVIDIA GPU with CUDA capability
Memory: 4GB+ GPU memory for real-time processing
Performance: Sub-100ms processing latency target

3.2.3 Network Infrastructure

Bandwidth: Minimum 100Mbps for CSI data collection
Latency: Low-latency network for real-time processing
Reliability: Stable connection for continuous operation

4. Software Requirements

4.1 Operating System Support

Primary: Linux (Ubuntu 20.04+, CentOS 8+)
Secondary: Windows 10/11 with WSL2
Container: Docker support for deployment

4.2 Runtime Dependencies

Python: 3.8+ with pip package management
PyTorch: GPU-accelerated deep learning framework
OpenCV: Computer vision and image processing
FFmpeg: Video encoding for streaming
FastAPI: Web framework for API services

4.3 Development Dependencies

Testing: pytest, unittest framework
Documentation: Sphinx, markdown support
Linting: flake8, black code formatting
Version Control: Git integration

5. Performance Requirements

5.1 Accuracy Metrics

Primary Target: 87.2% AP@50 under optimal conditions
Cross-Environment: 51.8% AP@50 minimum performance
Multi-Person: Support for up to 5 individuals simultaneously
Tracking Consistency: Minimal ID switching during occlusion

5.2 Real-Time Performance

Processing Rate: 10-30 FPS depending on hardware
End-to-End Latency: Under 100ms on GPU systems
Startup Time: System ready within 30 seconds
Memory Usage: Stable operation without memory leaks

5.3 Reliability Requirements

Uptime: 99.5% availability for continuous operation
Error Recovery: Automatic recovery from transient failures
Data Integrity: No data loss during normal operation
Graceful Degradation: Reduced performance under resource constraints

5.4 Scalability Requirements

Concurrent Users: Support 100+ API clients
Data Throughput: Handle continuous CSI streams
Storage Growth: Efficient data management for historical data
Horizontal Scaling: Support for distributed deployments

6. Security Requirements

6.1 Privacy Protection

No Visual Data: Complete elimination of camera-based sensing
Anonymous Tracking: Pose data without identity information
Data Encryption: Encrypted data transmission and storage
Access Control: Role-based access to system functions

6.2 Network Security

Secure Communication: HTTPS/WSS for all external interfaces
Authentication: API key-based authentication
Input Validation: Comprehensive input sanitization
Rate Limiting: Protection against abuse and DoS attacks

6.3 Data Protection

Local Processing: On-premises data processing capability
Data Retention: Configurable data retention policies
Audit Logging: Comprehensive system activity logging
Compliance: GDPR and healthcare privacy compliance

7. Environmental Requirements

7.1 Physical Environment

Operating Temperature: 0°C to 40°C
Humidity: 10% to 90% non-condensing
Ventilation: Adequate cooling for processing hardware
Power: Stable power supply with UPS backup recommended

7.2 RF Environment

Interference: Tolerance to common WiFi interference
Range: Effective operation within 10-30 meter range
Obstacles: Through-wall detection capability
Multi-Path: Robust operation in complex RF environments

7.3 Installation Requirements

Router Placement: Strategic positioning for coverage
Network Configuration: Isolated or VLAN-based deployment
Calibration: Environmental baseline establishment
Maintenance Access: Physical and remote access for updates

8. Compliance and Standards

8.1 Regulatory Compliance

FCC Part 15: WiFi equipment certification
IEEE 802.11: WiFi standard compliance
IEEE 802.11bf: Future WiFi sensing standard compatibility
Local Regulations: Regional RF emission compliance

8.2 Industry Standards

ISO 27001: Information security management
HIPAA: Healthcare data protection (where applicable)
GDPR: European data protection regulation
SOC 2: Service organization control standards

9. Quality Attributes

9.1 Usability

Installation: Automated setup and configuration
Interface: Intuitive web-based dashboard
Documentation: Comprehensive user and API documentation
Support: Multi-language support for international deployment

9.2 Maintainability

Modular Design: Component-based architecture
Logging: Comprehensive system and error logging
Monitoring: Real-time system health monitoring
Updates: Rolling updates without service interruption

9.3 Portability

Cross-Platform: Support for multiple operating systems
Containerization: Docker-based deployment
Cloud Compatibility: Support for cloud deployment
Hardware Independence: Adaptation to different hardware configurations

10. Constraints and Assumptions

10.1 Technical Constraints

WiFi Dependency: Requires compatible WiFi hardware
Processing Power: Performance scales with available compute resources
Network Bandwidth: CSI data requires significant bandwidth
Environmental Factors: Performance affected by RF environment

10.2 Business Constraints

Cost Targets: Maintain affordability for widespread adoption
Time to Market: Rapid deployment capability
Regulatory Approval: Compliance with local regulations
Intellectual Property: Respect for existing patents and IP

10.3 Assumptions

Network Stability: Reliable network infrastructure
Power Availability: Stable power supply
User Training: Basic technical competency for deployment
Maintenance: Regular system maintenance and updates

11. Acceptance Criteria

11.1 Functional Acceptance

Pose Detection: Successful human pose estimation
Multi-Person: Concurrent tracking of multiple individuals
Real-Time: Sub-100ms latency performance
API Functionality: All specified endpoints operational

11.2 Performance Acceptance

Accuracy: Meet specified AP@50 targets
Throughput: Achieve target FPS rates
Reliability: 99.5% uptime over 30-day period
Resource Usage: Operate within specified hardware limits

11.3 Integration Acceptance

External APIs: Successful integration with specified services
Streaming: Functional Restream integration
Webhooks: Reliable event notification delivery
MQTT: Successful IoT ecosystem integration

// TEST: Verify all hardware requirements are met during system setup // TEST: Validate performance metrics under various load conditions // TEST: Confirm security requirements through penetration testing // TEST: Verify compliance with regulatory standards // TEST: Validate acceptance criteria through comprehensive testing