Oraya Chaimongkol. A computer vision-based counting system : a case study of rubber grommet. Master's Degree(Logistics and Supply Chain Systems Engineering). Thammasat University. Thammasat University Library. : Thammasat University, 2022.
A computer vision-based counting system : a case study of rubber grommet
Abstract:
This research addresses the challenges of manually counting overlapping rubber grommets in mass production processes. By exploring the practical implications of computer vision technology, the study aims to develop an affordable and efficient alternative for counting rubber grommets. The objective is to develop an accurate object detection model for counting overlapping rubber grommets and evaluate different training methods to optimize performance. The methodology involves dataset collection, model customization, and adjustments of hyperparameters. The results highlight the significant impact of modifying the training dataset on performance, with adjustments to training cycle and batch size also influencing model performance. From the result, the model achieved the highest accuracy with an F1 score of 97.94%. Even though there are some errors in detection and counting, they primarily occur due to the intense overlap of rubber grommets. However, the model still effectively serves its objective by detecting overlapping and in-contact rubber grommets to a certain degree. The study identifies limitations and proposes future work to enhance the model, including expanding the training dataset, implementing cross-validation for data splitting, and incorporating object tracking algorithms. Successful detection and counting of overlapping rubber grommets can offer valuable insights for improving operational efficiency and productivity in rubber grommet production
Thammasat University. Thammasat University Library