RTOD-yv8

RTOD-yv8: Real-Time Object Detection using YOLOv8 & IP Camera on Android

Introduction

Real-Time Object Detection using YOLOv8 (RTOD-yv8) is an innovative project designed for Android users who want to perform real-time object detection using an IP camera. This project sets up a Linux environment inside Termux, allowing users to run YOLOv8 with an easy-to-use interface for live object detection and streaming via a web browser.

👁️‍🗨️ Practical Implementation Video

Experience the real-time object detection setup and execution: RTOD-yv8 YouTube Video

✨ Key Features

✔ Automatic Installation Script: Download yolov8.sh (Installs all required dependencies) ✔ Real-Time Detection Script: Download mikey.sh (Runs YOLOv8 and starts live streaming) ✔ Flask-Based Web Streaming: View detected objects in any web browser ✔ YOLOv8 Model Support: Uses yolov8n.pt for accurate detection ✔ Runs on Android using Termux & a Linux distribution

Here is GitHub link of this project:

https://github.com/mikey-7x/RTOD-yv8/tree/main


🚀 Installation & Setup Guide

Step 1: Install Termux & Linux Distribution

  1. Download Termux from F-Droid.
  2. Install a Linux distribution inside Termux (Ubuntu, Kali, etc.) using proot-distro or a manual installation method.
  3. Launch your Linux environment inside Termux.

Step 2: Run the Setup Script

Once inside your Linux OS, open the terminal and execute:

bash yolov8.sh

This script will: ✔ Update & upgrade system packages ✔ Install Python and necessary dependencies ✔ Set up a virtual environment for package management ✔ Download and configure the YOLOv8 model (yolov8n.pt)

Step 3: Start Real-Time Object Detection

Run the following command:

bash mikey.sh
  • The script will prompt for your IP camera stream URL.
  • After entering the URL, object detection will begin in real time.

👁️Viewing the Live Detection Output

After starting the detection script, open a web browser and enter:

http://your-ip:5050/video_feed

For example, if your IP camera stream is:

http://10.115.163.241:8080

Then to view detected objects, visit:

http://10.115.163.241:5050/video_feed

Ensure that you enter the correct IP address in the browser.

⚡ Performance Considerations

  • Hardware limitations of your Android device can impact detection speed.
  • Network speed & latency influence real-time streaming performance.
  • The data flow (IP Camera → Linux → Web Browser) may introduce slight delays.

📜 Credits

Developed by mikey-7x 🚀🔥


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