https://github.com/kxs-codes/Detection-System

An IoT project using gps sensors and geospatial to detect deer near highways, sending real-time GPS alerts to drivers in the "DeerSafe" mobile application . Built with Flask (Python) and Raspberry Pi, focusing on IoT, and sensor data processing.
https://github.com/kxs-codes/Detection-System

cloud-integration embedded-systems flask geolocation iot-application motion-sensors postgresql raspberry-pi rest-api

Last synced: 9 months ago
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An IoT project using gps sensors and geospatial to detect deer near highways, sending real-time GPS alerts to drivers in the "DeerSafe" mobile application . Built with Flask (Python) and Raspberry Pi, focusing on IoT, and sensor data processing.

• Host: GitHub
• URL: https://github.com/kxs-codes/Detection-System
• Owner: kxs1119
• License: apache-2.0
• Created: 2024-09-27T01:10:10.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-12-12T06:40:55.000Z (over 1 year ago)
• Last Synced: 2024-12-12T07:34:54.016Z (over 1 year ago)
• Topics: cloud-integration, embedded-systems, flask, geolocation, iot-application, motion-sensors, postgresql, raspberry-pi, rest-api
• Language: C
• Homepage:
• Size: 72.3 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          

# DeerSafe

---

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.

## Installation and Startup instructions

---

- [Click Here to view instructions](docs/setup/inital_startup.md)!

## Contributions

- [Click Here to view Notice](NOTICE)!

## License 

---

 Copyright [2024] [Kenneth T. Smith, Jr.]

   Licensed under the Apache License, Version 2.0 (the "License");

   you may not use this file except in compliance with the License.

   You may obtain a copy of the License at

       http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software

   distributed under the License is distributed on an "AS IS" BASIS,

   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

   See the License for the specific language governing permissions and

   limitations under the License.