DISTinTheHouse/Scanner-Zebra-RFID

AI 仓库情报摘要

FR-AI / ANALYSIS

为什么值得关注

它完整覆盖了从 Zebra 读写器配置、数据持久化到实时可视化的流程，并附带模拟标签和诊断工具，便于无硬件环境下开发和验证。

适合谁使用

需要将 RFID 数据接入库存或 ERP 系统的开发者
管理 Zebra FX 系列读写器的 IT/运维人员
Zebra RFID 解决方案集成商
开发 IoT 仪表盘的 Django 开发者

典型使用场景

库存跟踪
仓库管理
资产监控
ERP 系统集成

项目优势

所有标签读取都通过 Django ORM 持久化，支持 SQLite 及生产级数据库
针对 Zebra FX 系列 HTTP POST IoT Connector 推送机制优化
实时显示 EPC 标签，附带天线和 RSSI 元数据
内置日志、模拟标签和网络诊断工具

使用前须知

需要 Zebra FX 系列读写器（固件 3.x+）并手动配置 IoT Connector
默认 SQLite 仅适合小规模部署，生产环境需切换数据库并安装驱动
README 未提及身份验证/授权，上线前可能需要额外安全加固

README 快速开始

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

项目描述

Enterprise-focused Python interface for Zebra FX RFID readers with real-time tag ingestion, persistent storage, and inventory monitoring

Scanner-Zebra-RFID