Deep Neural Network-Based Cigarette Filter Defect Detection System with FPGA Acceleration for Online Recognition

Deep Neural Network-Based Cigarette Filter Defect Detection System with FPGA Acceleration for Online Recognition

In the cigarette manufacturing industry, machine vision and artificial intelligence algorithms have been employed to improve production efficiency by detecting product defects. However, achieving both high accuracy and real-time defect detection for cigarettes with complex patterns remains a challen...

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Bibliographic Details
Main Authors: Liang Huang, Qiongxia Shen, Chao Jiang, You Yang
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Sensors
Subjects:
defect detection
deep neural network
field programmable gate array
real-time
Online Access:https://www.mdpi.com/1424-8220/24/20/6752

Internet

https://www.mdpi.com/1424-8220/24/20/6752

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