PxP is a privacy-conscious presence detection system powered by the proprietary WiSpy algorithm. Built for environments that require real-time awareness without invasive surveillance, PxP uses signal-based inference to detect, log, and analyze ambient presence — ethically and intelligently.
🌐 Live Demo: https://pxp-demo.vercel.app
Ambient awareness — not surveillance.
Modern institutions rely on outdated, intrusive systems (e.g., sign-in sheets, cameras, facial recognition) that compromise privacy and accuracy. PxP is built as an ethical alternative: real-time presence monitoring that’s passive, opt-in, and non-visual.
- 🔍 Signal-Based Detection: Detects presence via MAC address(eventually IMEI), WiFi/Bluetooth signal mapping, and optional heart rate/motion data.
- 📉 Auto Log-Out: Automatically logs users out after 60 minutes of absence.
- 💓 Heart Rate + Motion Integration: Uses ambient signal inference (e.g. WiFi multipath, mmWave, UWB) to detect motion and physiological patterns — no wearables required.
- 📋 Real-Time Presence Logs: Frontend displays user session, motion status, and inferred vitals.
- 🧭 Consent-Based Web App: User-initiated opt-in flow, legal compliance, and full transparency.
- 🔐 No Facial Recognition, No Cameras Required (camera integration is optional for calibration only).
| Layer | Tech Used |
|---|---|
| Frontend | React (Vite or Next.js via Genspark), Tailwind CSS |
| Backend | Flask (Python) |
| Hardware | Raspberry Pi 5, Pi Camera NoIR Wide (optional) |
| Algorithm | Proprietary WiSpy engine for ambient inference |
| Deployment | Vercel, with future support for Snowflake + edge compute |
This prototype simulates the passive detection workflow with:
- MAC-based signal simulation (no login or user input)
- Clean, Pursuit-style UI with minimal interaction
- Exportable log viewer for session data
| Industry | Application |
|---|---|
| 🎓 Education | Attendance tracking (e.g. Pursuit program), time-on-site analysis |
| 🏥 Clinics | Passive patient/staff presence tracking |
| 🧓👶 Elder/Child Care | Detect prolonged absence or unexpected movement |
| 🐕 Pet Monitoring | Smart home pet tracking without intrusive cameras |
| 🛡️ Defense | Presence authentication in sensitive areas without surveillance |
| 🧘♀️ Fitness | Integration with heart-rate-based platforms (e.g. Orangetheory) |
| 🏠 Smart Home | Motion + presence logging for security and convenience |
- 📱 Mobile App with opt-in onboarding, local logs + cloud sync
- 📈 Time-based analytics + emergency alert system
- 🧱 Snowflake-ready backend + hardened DoD/enterprise deployment
- 🤖 Integration with mmWave or computer vision (for calibration only, never core logic)
Maysa Khedr
Systems thinker, AI researcher, and ethical technologist.
Proprietary – For demo and educational use only.
For inquiries about licensing or collaboration, contact the creator.