Application of computer vision to egg detection on a production line in real time
In this paper we investigate the application of computer vision to the problem of egg detection on a production line in real-time. For this purpose a dedicated software was designed and implemented that exploited the advantages of neural networks or template matching approaches. To verify the correc...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:ddd.uab.cat:258193 |
| Acceso en línea: | https://ddd.uab.cat/record/258193 https://dx.doi.org/urn:doi:10.5565/rev/elcvia.1390 |
| Access Level: | acceso abierto |
| Palabra clave: | Computer vision OpenCV Neural networks Template matching Image analysis Applications |
| Sumario: | In this paper we investigate the application of computer vision to the problem of egg detection on a production line in real-time. For this purpose a dedicated software was designed and implemented that exploited the advantages of neural networks or template matching approaches. To verify the correctness of the developed software as well as to confirm its applicability to real life problems a number of carefully designed experiments have been carried out. These experiments let us reveal what approaches are best suited for supporting egg detection on a production line in real-time. |
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