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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.13285 |
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| _version_ | 1866911960688230400 |
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| author | Šuković, Matija Jovančević, Igor |
| author_facet | Šuković, Matija Jovančević, Igor |
| contents | This paper proposes an innovative approach to improving quality control of olive oil manufacturing and preventing damage to the machinery caused by foreign objects. We developed a computer-vision-based system that monitors the input of an olive grinder and promptly alerts operators if a foreign object is detected, indicating it by using guided lasers, audio, and visual cues. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_13285 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Collaborative real-time vision-based device for olive oil production monitoring Šuković, Matija Jovančević, Igor Computer Vision and Pattern Recognition Artificial Intelligence Emerging Technologies I.2.10 This paper proposes an innovative approach to improving quality control of olive oil manufacturing and preventing damage to the machinery caused by foreign objects. We developed a computer-vision-based system that monitors the input of an olive grinder and promptly alerts operators if a foreign object is detected, indicating it by using guided lasers, audio, and visual cues. |
| title | Collaborative real-time vision-based device for olive oil production monitoring |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence Emerging Technologies I.2.10 |
| url | https://arxiv.org/abs/2407.13285 |