The Challenge
To design a secure tool helping travelers identify hidden spy cameras and unrecognized Bluetooth trackers inside hotel rooms and rental apartments.
Case Study
AI Hidden Device & Camera Finder — Safe App
Otel ve kiralık alanlarda gizli kamera ve takip cihazı risklerini analiz edin.
Our Process
We tapped into the device's hardware antenna interfaces, parsing magnetometer fields and Bluetooth Low Energy (BLE) RSSI packets. We created a dark radar dashboard featuring neon red/green warning states to reflect detection intensity.
Technical Obstacles & Solutions
We wrote distance estimation algorithms based on signal decay properties. To identify camera lenses via light reflection, we trained and integrated a CoreML computer vision model running entirely offline to analyze camera frames in real time.
// Performance Outcomes
150K+
Downloads
%91
Lens Accuracy
5 Weeks
Time to Market
Measurable Outcomes
- Surpassed 150,000 organic downloads in the App Store.
- Featured as a recommended security app on multiple travel blogs.
- Achieved a 91% accuracy rate in spotting hidden lens reflections offline.
// Technology Integration
iOS SDKSwiftCoreML (Object Detection)CoreBluetoothMagnetometer API