Scanner-Zebra-RFID

Zebra RFID Scanner Interface (Django)

A professional, enterprise-focused web interface designed for Zebra FX7500/FX9600 fixed RFID readers. This is a functional model with full database persistence, allowing for long-term data storage and integration with external business systems.

Use Cases

Designed for inventory tracking, warehouse management, asset monitoring, and ERP systems integration.

System Architecture

flowchart LR
    Reader["Zebra Reader"] -- "HTTP POST" --> API["Django API"]
    API -- "ORM" --> DB["SQL / PostgreSQL"]
    DB --> Dashboard["Tailwind Dashboard"]
    Dashboard -- "Polling" --> API

Key Features

• Real-Time Monitoring: Live EPC tag list with antenna and RSSI metadata.
• Hardware Integration: Optimized for Zebra's HTTP POST push mechanism (IoT Connector).
• Persistent Storage: All scans are automatically saved to a database via Django ORM.
• Mobile-First Design: Built with Tailwind CSS for warehouse handhelds and Zebra scanners.
• Diagnostic Tools: Built-in logging and testing suite for network verification.

Persistence & Database Configuration

This application is built on the Django framework, meaning it uses a powerful ORM (Object-Relational Mapper) to handle data. It is NOT just a visual sample; every tag read is stored in a structured database.

1. Default Storage (SQLite)

By default, the project uses SQLite (db.sqlite3), which requires zero configuration and is perfect for small deployments or edge devices.

2. Production Databases (PostgreSQL, MySQL, SQL Server)

Because it uses Django, you can easily switch to a professional database engine. Simply modify the DATABASES section in scanner_zebra_rfid/settings.py:

# Example for PostgreSQL
DATABASES = {
    'default': {
        'ENGINE': 'django.db.backends.postgresql',
        'NAME': 'your_db_name',
        'USER': 'your_user',
        'PASSWORD': 'your_password',
        'HOST': '127.0.0.1',
        'PORT': '5432',
    }
}

Note: Ensure you install the appropriate driver (e.g., psycopg2 for Postgres or mysqlclient for MySQL).

Quick Start

1. Prerequisites

• Python 3.10+
• Access to any Zebra FX series reader (FX7500, FX9600, etc.).
• Model Compatibility: This interface is compatible with all Zebra FX-series models (e.g., FX9600-4, FX7500-4, FX96