Predator Dettera

A smart wildlife detection and deterrence system built with Next.js that helps monitor and manage wildlife interactions using automated detection and customizable deterrence methods.

Features

• 🦊 Wildlife Detection: Automatically detects and classifies different types of animals (Penguin, Deer, Fox)
• 📸 Image Management: Stores and manages detection images with timestamps
• 🚨 Deterrence System: Configurable deterrence methods including:
  • LED controls (frequency and duty cycle)
  • Speaker controls (frequency and duty cycle)
  • Motor controls (ON/OFF)
• 📊 Detection Records: Maintains detailed logs of all detections and deterrence actions
• 🌐 REST API: Full API support for retrieving detections and adding new records

Getting Started

1. Clone the repository:

git clone https://github.com/your-username/predator_dettera.git
cd predator_dettera

2. Install dependencies:

npm install

3. Run the development server:

npm run dev

4. Open http://localhost:3000 with your browser to see the application.

API Endpoints

GET /api/detections

Retrieves all detection records with their associated images and deterrence settings.

POST /api/detections

Add a new detection record with the following structure:

{
  "image": "base64_encoded_image",
  "timestamp": "YYYY-MM-DD HH:mm:ss",
  "animalType": "Penguin|Deer|Fox",
  "duration": 2.5,
  "deterrence": {
    "LED": {
      "frequency": 50,
      "dutyCycle": 0.5
    },
    "Speaker": {
      "frequency": 500,
      "dutyCycle": 0.5
    },
    "motor": "ON|OFF"
  }
}

Project Structure

• /public/mock: Contains mock images and detection records for testing
• /src/app/api: API routes for handling detections
• /src/app/components: React components for the UI

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT