首页|基于深度学习的中式菜品检测识别系统

基于深度学习的中式菜品检测识别系统

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菜品检测识别系统利用计算机视觉技术实现菜品的自动辨识和定价结算,从而降低人力成本、提高结算效率、减少人工错误带来的损失.然而中式菜品由于切菜方式不同、烹饪方法多样等复杂性增加了检测识别难度.系统分别采用YOLOv8实现菜品定位和ViT实现菜品识别,并设计实现了中式菜品检测识别和结算.系统具有较高的准确率和快速响应能力,可应用于中餐馆或中式快餐的智慧餐厅.
Chinese food detection recognition system based on deep learning
Food detection and recognition system uses computer vision technology to achieve automatic identification and pric-ing settlement of dishes,thus reducing labour costs,improving settlement efficiency and reducing losses caused by manual errors.However,the complexity of Chinese food increases the difficulty of detection and identification due to the different cutting methods and cooking methods.The system adopts YOLOv8 to locate food and ViT to identify the dishes,and designs and implements the de-tection,identification and settlement of Chinese food.The system has high accuracy and fast response ability,and can be applied to smart restaurants,such as Chinese restaurants or Chinese fast food.

Chinese food detectionChinese food recognitionfood settlementYOLOv8ViT

李娟

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福州理工学院计算与信息科学学院,福州 350506

中式菜品定位 中式菜品识别 菜品结算 YOLOv8 ViT

2024

现代计算机
中大控股

现代计算机

影响因子:0.292
ISSN:1007-1423
年,卷(期):2024.30(20)