Detection-System

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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Deer Detection System

The Deer Detection System is a web-based application designed to detect animals (such as deer) approaching roads or highways. It collects data from sensors, sends it to a Flask backend, and displays the location of sightings on a map for users to review.

Features

  • Sensor Data Submission: The system collects data from animal-detection sensors, which is processed and sent to the backend.
  • Map Integration: Displays the location of the animal on a map using Google Maps or OpenStreetMap.
  • Details Form: Users can enter details about sightings (animal type, date/time, location) using a form.
  • Alerts System: Sends alerts when a certain number of sightings are detected.
  • Mobile and Desktop Friendly: Responsive design to ensure a smooth user experience on different devices.
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