{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/fruit-and-vegetable-identification-using","title":"Fruit and Vegetable Identification Using Machine Learning for Retail Applications","arxiv_id":"1810.09811","date":"2018-10-23","proceeding":null,"authors":["Frida Femling","Adam Olsson","Fernando Alonso-Fernandez"],"abstract":"This paper describes an approach of creating a system identifying fruit and\nvegetables in the retail market using images captured with a video camera\nattached to the system. The system helps the customers to label desired fruits\nand vegetables with a price according to its weight. The purpose of the system\nis to minimize the number of human computer interactions, speed up the\nidentification process and improve the usability of the graphical user\ninterface compared to existing manual systems. The hardware of the system is\nconstituted by a Raspberry Pi, camera, display, load cell and a case. To\nclassify an object, different convolutional neural networks have been tested\nand retrained. To test the usability, a heuristic evaluation has been performed\nwith several users, concluding that the implemented system is more user\nfriendly compared to existing systems.","url_abs":"http://arxiv.org/abs/1810.09811v1","url_pdf":"http://arxiv.org/pdf/1810.09811v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"fruit-and-vegetable-identification-using","repo_url":"https://github.com/FynnQ/a-test","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"}],"methods":[{"method_slug":"speed","method_name":"SPEED"}],"datasets_introduced":[{"slug":"fruits-dataset-for-classification","name":"Fruits Dataset for Classification","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}