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An IoT project using motion sensors and geofencing to detect deer near highways, sending real-time GPS alerts to drivers. Built with Flask (Python) and Raspberry Pi, focusing on IoT, cloud integration, and sensor data processing.

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kxs1119/Detection-System

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Deer Detection System


The Deer Detection System is a mobile-friendly application designed to detect animals, such as deer, approaching roads or highways. It gathers geospatial data from sensors, processes it via a Flask backend, and categorizes alerts based on recency for user review. The system also leverages GraphQL for efficient data querying and Supabase for notifications.

Features

  • Sensor Data Submission: The system collects and sends animal-detection sensor data to the backend, capturing the location and time of sightings.
  • GraphQL for Efficient Data Management: GraphQL optimizes data queries, reducing API calls and enhancing the app's efficiency for fetching detailed sighting records.
  • Proximity-Based Alerts: Alerts are categorized by proximity:
    • New Alerts: Sightings detected within the last 2 hours.
    • Recent Alerts: Sightings from over 2 hours ago but still relevant for review.
  • Push Notifications: Using Supabase, the system provides in-app post notifications and push notifications for proximity alerts. These notifications appear both within and outside the app.
  • Details Form: Users can submit sighting details (animal type, date/time, location) to ensure accuracy and improve data collection.
  • Future Features:
    • Map Integration: Planned to display animal sighting locations on a map interface, allowing users to view real-time and historical sighting data visually.
    • Desktop Compatibility: A future goal is to extend the application for desktop use, ensuring seamless access across devices.

About

An IoT project using motion sensors and geofencing to detect deer near highways, sending real-time GPS alerts to drivers. Built with Flask (Python) and Raspberry Pi, focusing on IoT, cloud integration, and sensor data processing.

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