Hardware development focused on privacy and radio awareness. Developing both hardware and software solutions for detection and analysis, from concept to implementation.
ESP32-S3 dual-core Xtensa LX7 processor-based drone Remote ID detection system with 5-15km range, real-time web mapping interface, and Meshtastic mesh networking. Detects FAA Remote ID transmissions via WiFi/Bluetooth, provides live drone tracking with pilot location data, and integrates with distributed mesh networks for comprehensive airspace monitoring.
ESP32-S3 based BLE detection system with integrated buzzer and power management. This board has some artistic PCB art. Available on Tindie - Ready-to-use, no additional components required.
Raw PCBs for the OUI SPY project. 2 PCBs per order (front and back). Perfect for DIY enthusiasts who want to build their own OUI SPY device from scratch. Includes all the artistic PCB art and professional manufacturing quality.
Raw PCB for the Mesh-Detect drone Remote ID detection system. Perfect for DIY enthusiasts who want to build their own Mesh-Detect device from scratch. Features ESP32-S3 dual-core processor support, LoRa module integration, and professional manufacturing quality with clear component labeling.
Comprehensive project documentation featuring dual-core ESP32 drone Remote ID detection, real-time web mapping, Meshtastic mesh alerts, FAA database integration, and custom PCB design with 2,595 views and full build instructions.
CNX Software covers our mesh-detect v2 project, highlighting its capabilities for mapping Remote ID-enabled drones using ESP32-C3/S3 and Meshtastic LoRa modules for distributed detection networks with 5-15km range.
Specialized hardware and software engineering for privacy-focused detection systems. From initial concept through final implementation, creating innovative tools for radio analysis and surveillance awareness.
Focused on pushing the boundaries of what's possible with emerging hardware technologies and creating the software that brings these capabilities to life in real-world detection scenarios.
