Ever been woken up by that annoying high-pitched buzz at 3 AM? Not anymore. Meet the Skeeter-Scan 16, a tactical edge-computing project built for the Hackster Holidays Giveaway.
We’ve combined the modular power of the Framework Laptop 16 with a custom ESP32-CAM "Sentinel" to create a real-time, autonomous pest radar.
How it Works:- The Brain (ESP32-CAM): Running Edge-AI to filter wing-beat frequencies and monitor the room via local processing—privacy first! [2, 3]
- The Radar (HC-SR04): An ultrasonic sonar that confirms target distance with precision. [1, 2]
- The Sight (650nm Laser): A low-power red laser module that "paints" the target, so you know exactly where to strike. [1, 3]
- The Interface (Framework + Meta Ray-Ban): Using Autodesk Fusion to map the room's 3D geometry, the system streams a tactical HUD directly to my Meta Ray-Ban Display, turning pest control into a real-life video game. [3, 4]How does the ESP32 distinguish a mosquito from a fan?A: It uses a Narrow-Band FFT filter. Most fans have a consistent low-frequency hum, while mosquitoes have a "wavering" frequency that the ESP32’s dual-core processor can identify.
Q: Why use the Framework 16 for this?A: Tracking multiple targets in 3D space requires significant mathematical throughput. The Framework 16 handles the complex geometry and hosts the Hackster.io project logs while remaining portable enough to move between rooms. Go to Tools > Board and select "AI Thinker ESP32-CAM".Connect the HC-SR04 sensor: VCC to 5V, GND to GND, Trig to GPIO 13, and Echo to GPIO 12.Connect the Laser Module: Red wire to GPIO 4 and black wire to GND.Technical note: GPIO 4 on the ESP32-CAM is also connected to the board's Flash LED. Using this pin will cause the Flash to illuminate along with the laser, creating an even stronger "visual alert" effect in your project!







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