Jirasak Ji, Warut Pannakkong^*, Jirachai Buddhakulsomsiri

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3643-3656, 2023, DOI:10.32604/cmc.2023.037507 - 31 March 2023

Abstract Inventory counting is crucial to manufacturing industries in terms of inventory management, production, and procurement planning. Many companies currently require workers to manually count and track the status of materials, which are repetitive and non-value-added activities but incur significant costs to the companies as well as mental fatigue to the employees. This research aims to develop a computer vision system that can automate the material counting activity without applying any marker on the material. The type of material of interest is metal sheet, whose shape is simple, a large rectangular shape, yet difficult to detect. More >

Jirasak Ji, Warut Pannakkong^*, Jirachai Buddhakulsomsiri

CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3557-3574, 2022, DOI:10.32604/cmc.2022.030418 - 16 June 2022

Abstract Motion time study is employed by manufacturing industries to determine operation time. An accurate estimate of operation time is crucial for effective process improvement and production planning. Traditional motion time study is conducted by human analysts with stopwatches, which may be exposed to human errors. In this paper, an automated time study model based on computer vision is proposed. The model integrates a convolutional neural network, which analyzes a video of a manual operation to classify work elements in each video frame, with a time study model that automatically estimates the work element times. An More >