How It Works
AI-powered insect detection in four simple steps
Simple to deploy, intelligent by design
BuzzCopper uses machine vision and artificial intelligence to automatically detect Yellow-Legged Asian Hornets at bait stations. The device is solar-powered, requires no wiring, and can run autonomously for extended periods. It does need internet connectivity from time to time to upload detections and send alerts. When a detection occurs, the system alerts you via email with photographic evidence.
Step by Step
From setup to action
Deploy
Place the BuzzCopper device at your garden, apiary, or monitoring site. The device is solar-powered with no mains electricity or wiring required. Position it where Asian Hornets are likely to forage, typically near bee hives or in sheltered garden areas.
Setup illustration
AI detection diagram
Detect
An integrated camera continuously monitors the bait station. The onboard AI model, running on an ESP32 microcontroller, regularly checks for visiting insects. The model has been trained to distinguish Asian Hornets from native species including European Hornets, common wasps, and honey bees. Between checks BuzzCopper sleeps to maximise battery life.
Alert
When the AI identifies a potential Asian Hornet, the device captures a photograph and sends an email alert to your registered address. The alert includes the image, a confidence score, and a timestamp. If WiFi is unavailable, detections are stored locally and transmitted when connectivity is restored.
Alert notification
Reporting flow
Report
Forward the detection alert email, including the image, using the official iOS app, Android app, or the online reporting form. Early reporting is critical — it helps authorities locate and destroy nests before they become established.
Under the Hood
Technical specifications
| Processor | ESP32-S3 with camera module |
| AI Model | Image classification model (trained using EdgeImpulse.com) |
| Firmware | C++ written by the BuzzCopper team |
| Power | Solar panel with rechargeable battery |
| Connectivity | WiFi (2.4GHz) — works offline with local storage |
| Camera | OV3660 3MP camera module |
| Housing | 3D printed plastic frame inside PET fizzy drinks bottle |
| Bait Platform | Floating design — zero by-catch |
| Alerts | Email notifications with images |
| Data | Images uploaded to Google Cloud Storage for reference |
Ready to deploy your own detection device?