# 基于人脸识别自助图书管理系统

**Repository Path**: spar_1/Face-Recognition-Based-Self-Service-Library-Management-System

## Basic Information

- **Project Name**: 基于人脸识别自助图书管理系统
- **Description**: 随着信息技术的迅速发展，图书馆管理方式逐步向智能化、自动化方向转型。传统的图书借阅与归还过程依赖人工操作，存在效率低、易出错的缺点。为了提高图书馆管理效率，提升用户体验，本项目提出开发一套基于人脸识别技术的自助式图书管理系统。该系统通过引入先进的人脸识别技术，实现用户身份验证、图书借阅、归还等功能的自动化，确保系统的高效、便捷与安全性。
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 21
- **Created**: 2024-12-24
- **Last Updated**: 2025-01-18

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Face Recognition-Based Self-Service Library Management System

## Project Overview

With the rapid development of information technology, library management is gradually shifting towards automation and intelligence. Traditional book borrowing and returning processes rely on manual operations, which are inefficient and error-prone. This project aims to design and develop a self-service library management system based on face recognition technology to improve management efficiency and enhance user experience.

The system leverages face recognition technology for user identity verification and integrates self-service book borrowing and returning processes, achieving a fully automated operation. This reduces the workload for library staff while improving service quality.

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## Features

### Core Functions

1. **User Identity Verification**
   - Face recognition-based user login eliminates the need for physical library cards.
   - Supports user registration and login, ensuring unique and secure identity verification.

2. **Book Borrowing and Returning**
   - Users can borrow books by scanning barcodes or QR codes.
   - The system automatically records borrowing information and supports quick returns via face recognition.

3. **Book Management**
   - Administrators can manage book information, including adding, editing, deleting, and searching for books.
   - Borrowing records can be monitored and analyzed by administrators.

4. **Recommendations and Search**
   - Provides intelligent book recommendations based on users' borrowing history.
   - Supports real-time search for books, including availability and location information.

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## Technology Stack

- **Frontend**: Vue.js
- **Backend**: Node.js / Express
- **Database**: SQLite
- **Face Recognition**: Face-api.js

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## Development Requirements

1. **Team Collaboration**
   - Each team consists of 3-5 members, responsible for system analysis, frontend and backend development, database design, and team collaboration.
   - Ensure the system is fully functional with a good user experience and stable performance.

2. **Deliverables**
   - **Source Code**: Including frontend, backend, and database files.
   - **Documentation**: Detailed requirement analysis, functional descriptions, technical implementation, and user manual.
   - **Demo Files**: A system demonstration in the form of a PPT or video.

3. **Submission**
   - Package all files into a compressed file named **TeamName.zip** and send it to the designated email address (lanhy2000@163.com).

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## Project Timeline

| Phase         | Tasks                                                                                      |
| ------------- | ------------------------------------------------------------------------------------------ |
| **Weeks 1-2** | Project Analysis: Define system goals and requirements, complete prototype design, and finalize the tech stack (Vue, Node.js/Express, SQLite, Face-api.js). |
| **Weeks 3-14** | Development: Implement frontend and backend functionality, design the database, complete system integration, and write documentation. |
| **Weeks 15-16** | Project Presentation: Demonstrate the system's features, submit final documentation, and share project experiences. |

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## How to Use

1. **Environment Setup**
   - Ensure Node.js and SQLite are installed.
   - For frontend development, set up the Vue.js environment (recommended: Vue CLI).

2. **Run the Project**
   - Download the source code and navigate to the project root directory.
   - Install dependencies: `npm install`
   - Start the backend service: `node server.js`
   - Start the frontend service: `npm run serve`
   - Open a browser and visit the application at the provided address.

3. **Face Recognition Configuration**
   - Download the Face-api.js model files and place them in the specified path.
   - Ensure camera permissions are enabled for face recognition functionality.

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## Contact Information

If you need further assistance or have any feedback, please contact us at: lanhy2000@163.com