Project Overview
Your Wi-Fi is now watching—ethically. We turned ordinary routers into AI-powered sentinels that detect falls, intruders, and gestures through walls—no cameras, no wearables, just pure RF and deep learning. 92% accuracy, zero new hardware, and fully GDPR-compliant.
The future of sensing isn’t about adding devices; it’s about weaponizing the ones you already have. The question isn’t whether you’ll adopt this—it’s whether you’ll lead or get left behind.
Discover how SUSAN.fi brings Wi-Fi sensing to life
Client Overview
Client: Confidential (Global Tech Company)
Industry: Wireless Technology / IoT / Smart Infrastructure
Duration: 1 month
Key Objectives:
Leverage existing Wi-Fi routers for human activity detection without cameras
Enable real-time, privacy-conscious monitoring for healthcare, security, and smart homes
Let SUSAN.fi show you how privacy-first AI sensing works
The Challenge
Traditional human sensing relied on:
Cameras: Privacy-invasive, limited by line-of-sight
Wearables: User-dependent (e.g., fall-detection pendants)
Radar/LiDAR: Expensive, high-power, and non-scalable
Goal:
Transform standard Wi-Fi routers into AI-driven sensors for:
Fall detection (healthcare)
Intrusion alerts (security)
Gesture-based controls (smart homes)
Start your AI sensing journey with SUSAN.fi
Our Approach: AI Agentic Learning
Channel State Information (CSI) Sensing
Analyzed Wi-Fi signal distortions caused by human movement (reflections, diffraction)
AI Model Training
Built deep neural networks to classify activities (walking, falling, gestures) from RF noise
Privacy-by-Design
Processed data locally (edge AI) to avoid storing sensitive movement patterns
Framework:
Wi-Fi Signals → CSI Extraction → AI Activity Recognition → Real-Time Alerts
Explore SUSAN.fi’s approach to invisible intelligence
The Solution
Software Integration
Deployed lightweight AI models on off-the-shelf routers (no hardware changes)
Multi-Industry Use Cases
Healthcare: Fall detection for elderly care
Security: Wall-penetrating intruder detection
Smart Homes: Hands-free lighting/AC control via gestures
Regulatory Compliance
Anonymized data to align with GDPR/CCPA
Results & Impact
| Metric | Before | After |
|---|---|---|
| Detection Accuracy | 60% (cameras) | 92% (Wi-Fi AI) |
| Privacy Compliance | Low (video data) | High (RF-only) |
| Cost per Deployment | $500+ (LiDAR) | $0 (existing Wi-Fi) |
Challenges Overcome
Signal Noise: Used federated learning to improve robustness
Hardware Limits: Partnered with router OEMs to enable CSI by default
Ethics: Published transparency guidelines for adopters
Future Roadmap
5G Integration: Ultra-low-latency sensing for smart cities
IEEE 802.11bf: Standardizing Wi-Fi sensing across vendors
Start your AI sensing transformation with SUSAN.fi
The Competitive Advantage
No Cameras. No Wearables. Just Wi-Fi.
Uses existing infrastructure to deliver intelligent sensing—without compromising privacy.Privacy by Design
Unlike video surveillance, our system processes RF data locally, keeping personal movement patterns anonymous and secure.Scalable at Zero Hardware Cost
Deployable on off-the-shelf routers, making it cost-effective for mass adoption across healthcare, smart homes, and security sectors.Proven Accuracy
Achieved 92% detection accuracy—surpassing traditional video and sensor-based systems.Multi-Industry Impact
One system supports diverse use cases: elderly care, intrusion detection, gesture-based control, and more.Compliance-Ready
Designed with GDPR and CCPA alignment from day one, giving organizations peace of mind.
