130   Artículos

 
en línea
Ning Li, Tianrun Ye, Zhihua Zhou, Chunming Gao and Ping Zhang    
In the domain of automatic visual inspection for miniature capacitor quality control, the task of accurately detecting defects presents a formidable challenge. This challenge stems primarily from the small size and limited sample availability of defectiv... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Reenu Mohandas, Mark Southern, Eoin O?Connell and Martin Hayes    
Deep learning based visual cognition has greatly improved the accuracy of defect detection, reducing processing times and increasing product throughput across a variety of manufacturing use cases. There is however a continuing need for rigorous procedure... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Tianjie Fu, Peiyu Li, Chenke Shi and Youzhu Liu    
The growing demand for high-quality steel across various industries has led to an increasing need for superior-grade steel. The quality of slab ingots is a pivotal factor influencing the final quality of steel production. However, the current level of in... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Bata Hena, Ziang Wei, Luc Perron, Clemente Ibarra Castanedo and Xavier Maldague    
Industrial radiography is a pivotal non-destructive testing (NDT) method that ensures quality and safety in a wide range of industrial sectors. Conventional human-based approaches, however, are prone to challenges in defect detection accuracy and efficie... ver más
Revista: Information    Formato: Electrónico

 
en línea
Muhammad Hussain    
The aim of this research is to develop an automated pallet inspection architecture with two key objectives: high performance with respect to defect classification and computational efficacy, i.e., lightweight footprint. As automated pallet racking via ma... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Zhouxian Lu, Yong Li and Feng Shuang    
Due to the low efficiency and safety of a manual insulator inspection, research on intelligent insulator inspections has gained wide attention. However, most existing defect recognition methods extract abstract features of the entire image directly by co... ver más
Revista: Drones    Formato: Electrónico

 
en línea
Elnaz Ghanbary Kalajahi, Mehran Mahboubkhah and Ahmad Barari    
Closed-loop manufacturing is crucial in Industry 4.0, since it provides an online detection?correction cycle to optimize the production line by using the live data provided from the product being manufactured. By integrating the inspection system and man... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Norimitsu Okuyama, Kazufumi Nomura, Tomokazu Sano, Keiji Kadota, Seiya Nitta, Tetsuo Era and Satoru Asai    
Blowholes caused by vaporization of the galvanized layer are a problem with galvanized steel sheets, which use lap joint welding. The laser ultrasonic method is the possible solution to realize the desirable 100% inspection instead of the conventional sa... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Thanh-Hung Nguyen, Huu-Long Nguyen, Ngoc-Tam Bui, Trung-Hieu Bui, Van-Ban Vu, Hoai-Nam Duong and Hong-Hai Hoang    
This paper proposes a machine vision system for the surface inspection of black rubber rollers in manufacturing processes. The system aims to enhance the surface quality of the rollers by detecting and classifying defects. A lighting system is installed ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Adi Wibowo, Joga Dharma Setiawan, Hadha Afrisal, Anak Agung Sagung Manik Mahachandra Jayanti Mertha, Sigit Puji Santosa, Kuncoro Budhi Wisnu, Ambar Mardiyoto, Henri Nurrakhman, Boyi Kartiwa and Wahyu Caesarendra    
Human eyes generally perform product defect inspection in Indonesian industrial production lines; resulting in low efficiency and a high margin of error due to eye tiredness. Automated quality assessment systems for mass production can utilize deep learn... ver más
Revista: Applied System Innovation    Formato: Electrónico

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