Real-Time Defect and Object Detection in Assembly Line: A Case for In-Line Quality Inspection
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-38241-3_12
Reference18 articles.
1. Azamfirei, V., Psarommatis, F., Lagrosen, Y.: Application of automation for in-line quality inspection, a zero-defect manufacturing approach (2023)
2. Zhou, L., Zhang, L., Konz, N.: Computer vision techniques in manufacturing. IEEE Trans. Syst. Man Cybern. Syst. 53, 105–117 (2023). https://doi.org/10.1109/TSMC.2022.3166397
3. What Is Machine Vision? https://www.intel.com/content/www/us/en/manufacturing/what-is-machine-vision.html
4. Vu, T.-T.-H., Pham, D.-L., Chang, T.-W.: A YOLO-based real-time packaging defect detection system. Procedia Comput. Sci. 217, 886–894 (2023). https://doi.org/10.1016/J.PROCS.2022.12.285
5. Basamakis, F.P., Bavelos, A.C., Dimosthenopoulos, D., Papavasileiou, A., Makris, S.: Deep object detection framework for automated quality inspection in assembly operations. Procedia CIRP 115, 166–171 (2022). https://doi.org/10.1016/J.PROCIR.2022.10.068
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