首页|基于YOLOv9+PyQt5的智慧实训室检测系统

基于YOLOv9+PyQt5的智慧实训室检测系统

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智慧实训室检测系统是一种利用计算机视觉和人工智能技术进行智能化监控和管理的系统。该系统基于YOLOv9目标检测算法和PyQt5图形用户界面库,实现对实训室中的设备、人员和特定区域等目标进行实时监测和识别,并提供相应的报警和管理功能;通过自定义数据集的构建和多种数据增强技术,进一步提升模型的泛化能力和适应性。实验结果表明,该系统在复杂多变的实验室环境中表现出色,具有良好的应用前景。
The Detection System for Smart Training Rooms Based on YOLOv9+PyQt5
The detection system for intelligent training rooms is a kind of intelligent monitoring and management system based on computer vision and artificial intelligence technology,which can carry out real-time monitoring and identification of equipment,personnel and specific areas in the training rooms,and provide corresponding alarm and management functions based on YOLOv9 object detection algorithm and PyQt5 graphical user inter-face library.The system can further improve the generalization ability and adaptability of the model through the construction of custom datasets and a variety of data enhancement techniques.The experimental results show that the system works well in the complex and changeable laboratory environment and has a good application pros-pect.

object detectionYOLOv9 modeldeep learningdataset

李娜、姜经纬

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河南工业大学 漯河工学院,河南 漯河 462000

海尔智家,山东 青岛 266101

目标检测 YOLOv9模型 深度学习 数据集

河南省职业院校省级名师和省级骨干教师培育对象项目河南省科技攻关计划项目

教职成[2024]38号222102110011

2024

漯河职业技术学院学报
漯河职业技术学院

漯河职业技术学院学报

影响因子:0.219
ISSN:1671-7864
年,卷(期):2024.23(4)