💻 programming

JavaVision

All-round visual intelligent recognition project based on Java

#Artificial Intelligence
#Open source
#computer vision
#face recognition
#object recognition
JavaVision

Product Details

JavaVision is an all-round visual intelligent recognition project developed based on Java. It not only implements core functions such as PaddleOCR-V4, YoloV8 object recognition, face recognition, and image search, but can also be easily expanded to other fields, such as speech recognition, animal recognition, security inspection, etc. Project features include the use of the SpringBoot framework, versatility, high performance, reliability and stability, easy integration and flexible scalability. JavaVision aims to provide Java developers with a comprehensive visual intelligent recognition solution, allowing them to build advanced, reliable and easy-to-integrate AI applications in a familiar and favorite programming language.

Main Features

1
PaddleOCR-V4 text recognition function
2
YoloV8 object recognition function
3
Face recognition function
4
Image search function
5
Extensibility, supporting the addition of new recognition algorithms and features
6
High performance image processing and recognition
7
Stable and reliable system operation
8
Provide a simple and powerful API interface

How to Use

1
Step 1: Visit JavaVision’s Gitee page or GitHub repository
2
Step 2: Clone or download the JavaVision project to your local development environment
3
Step 3: Read the project documentation to understand the functions and usage of each module
4
Step 4: Select appropriate modules for integration or secondary development according to needs
5
Step 5: Use the provided API interface for application development
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Step 6: Use Docker for one-click deployment to quickly start the JavaVision service
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Step 7: Test to ensure the integrated modules work as expected
8
Step 8: Deploy to the production environment and start using JavaVision for visual intelligent recognition tasks

Target Users

Java developers: Provide visual intelligent recognition solutions in a familiar programming language environment

Enterprise-level users: Build stable and reliable enterprise-level AI applications

Educational field: as a teaching tool to help students understand AI image recognition technology

Independent developers: quickly integrate and develop personalized visual recognition applications

Examples

Enterprises use JavaVision for security monitoring and real-time detection of helmet wearing conditions

Developers use JavaVision to develop personalized OCR applications to improve work efficiency

Educational institutions use JavaVision as a teaching aid to enhance students’ AI practical capabilities

Quick Access

Visit Website →

Categories

💻 programming
› AI image generation
› AI image detection and recognition

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