Battery Manager with Barcode Scanning and Video Feed

This project is a battery management system that uses barcode scanning, a video feed, and status tracking to manage battery usage in real time. The program is built with Python, Flask, and OpenCV, and it displays the live camera feed on a webpage that can be accessed locally or over a network.

Features:

• Real-time barcode scanning using a webcam.

• Displays the live video feed on a web interface.

• Tracks battery status with automatic cooldown periods.

• Play sound feedback on scan.

• Accessible from any device on the same local network.

Prerequisites:

Ensure you have the following dependencies installed:

Python 3.7+

pip (Python package manager)

Python packages: Flask, OpenCV, pygame, and pyzbar

libzbar0 (for barcode decoding) – only required on Raspberry Pi.

Setup and Usage on PC

Clone this repository to your PC.

Navigate to the project directory and create a virtual environment.

Install required packages:

pip install Flask opencv-python-headless pygame pyzbar

Run the Program:

Start the application:

python main.py

Open your browser and go to http://127.0.0.1:5000 to access the web interface In addition, you can access the logger from any device connected to the same network; go to: IPADDRESS:5000 (for example 192.168.1.10:5000)

Setup and Usage on Raspberry Pi (Do it in this order)

1. Clone this repository to your Raspberry Pi at your desired folder.

   command:

    git clone https://github.com/DavidMasin/Battery-Logger-5987

2. Install Required Packages

3. Make sure Python and pip are installed.

Create a Virtual Environment:

Install venv if Needed:

sudo apt install python3-venv

Create a Virtual Environment:

python3 -m venv battery_project_env

Install the system library libzbar0:

sudo apt update
sudo apt install libzbar0

Find your Raspberry Pi’s IP address:

hostname -I

*Note the IP address (e.g., 192.168.1.10) to access the app from other devices on the same network. Activate the Virtual Environment:

source battery_project_env/bin/activate

Install the required Python packages:

pip install Flask opencv-python-headless pygame pyzbar

Run the Application

Start the app on the Raspberry Pi:

python main.py

On your Raspberry Pi, access the app at

http://127.0.0.1:5000 

*Alternatively, use the Pi’s IP address (e.g., http://192.168.1.10:5000) to access it from other devices on the same network.