{"id":1633,"date":"2024-10-16T11:27:38","date_gmt":"2024-10-16T11:27:38","guid":{"rendered":"https:\/\/breda-robotics.cloud04.ibizz.nl\/?post_type=project&#038;p=1633"},"modified":"2025-09-08T09:22:52","modified_gmt":"2025-09-08T09:22:52","slug":"minor-project-potato-defect-detection-2024","status":"publish","type":"project","link":"https:\/\/b-robotics.eu\/en\/project\/agrofood\/minorproject-aardappel-defectdetectie-2024\/","title":{"rendered":"Potato Defect Detection 2024"},"content":{"rendered":"<figure class=\"wp-block-image aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"2576\" height=\"1250\" src=\"https:\/\/b-robotics.eu\/wp-content\/uploads\/2025\/02\/Scherm\u00adafbeelding-2025-02-24-om-14.07.01-edited-2.png\" alt=\"\" class=\"wp-image-3279\" srcset=\"https:\/\/b-robotics.eu\/wp-content\/uploads\/2025\/02\/Scherm\u00adafbeelding-2025-02-24-om-14.07.01-edited-2.png 2576w, https:\/\/b-robotics.eu\/wp-content\/uploads\/2025\/02\/Scherm\u00adafbeelding-2025-02-24-om-14.07.01-edited-2-300x146.png 300w, https:\/\/b-robotics.eu\/wp-content\/uploads\/2025\/02\/Scherm\u00adafbeelding-2025-02-24-om-14.07.01-edited-2-1024x497.png 1024w, https:\/\/b-robotics.eu\/wp-content\/uploads\/2025\/02\/Scherm\u00adafbeelding-2025-02-24-om-14.07.01-edited-2-768x373.png 768w, https:\/\/b-robotics.eu\/wp-content\/uploads\/2025\/02\/Scherm\u00adafbeelding-2025-02-24-om-14.07.01-edited-2-1536x745.png 1536w, https:\/\/b-robotics.eu\/wp-content\/uploads\/2025\/02\/Scherm\u00adafbeelding-2025-02-24-om-14.07.01-edited-2-2048x994.png 2048w\" sizes=\"auto, (max-width: 2576px) 100vw, 2576px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-group twee paddingtopbottom3 has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<h2 class=\"wp-block-heading\"><strong>Project information<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In this project, an existing AI model for potato defect detection has been further optimised. Previously, this model was used to identify one prominent anomaly per image of potato slices. The new task for the students was to detect multiple defects per image more accurately, thereby ensuring better potato quality.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-group twee paddingtopbottom3 has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-right\"><strong>What has been realised?<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"has-text-align-right wp-block-paragraph\">The project group carried out the project in several phases. First, they compiled an extensive dataset of potato slice photos, in which the different defects were labelled. Subsequently, they trained an AI model to automatically recognise these defects. Finally, an application was developed that applies the model to analyse potato slice photos and automatically determine which defects are present or when a slice is in good condition. This application can, in the future, be integrated into a machine for industrial application.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-group twee paddingtopbottom3 has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<h2 class=\"wp-block-heading\"><strong>What has been learned?<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The project group has learned how to define and describe an assignment with a company in a way that is both useful and actionable. In addition, they have learned how to constructively apply AI in an industry, where the system enhances existing processes without detrimental effects.<\/p>\n<\/div>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Minor project: Potato Defect Detection\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/SwOBqVnpvAY?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>","protected":false},"excerpt":{"rendered":"<p>Projectinformatie In dit project is een bestaand AI-model voor aardappeldefectdetectie verder geoptimaliseerd. Voorheen werd dit model gebruikt om \u00e9\u00e9n prominente afwijking per afbeelding van aardappelschijven te identificeren. De nieuwe opdracht voor de studenten was om meerdere defecten per afbeelding nauwkeuriger op te sporen, zodat de kwaliteit van aardappelen beter kan worden gegarandeerd. Wat is er [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":1640,"menu_order":0,"template":"","domein":[],"sector":[21],"programma":[26],"funder":[],"partners":[4,162,283],"showcase":[],"class_list":["post-1633","project","type-project","status-publish","has-post-thumbnail","hentry","sector-agrofood","programma-toekomstmakers","partners-avans-hogeschool","partners-rma-techniek","partners-test-partner"],"_links":{"self":[{"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/project\/1633","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/project"}],"about":[{"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/types\/project"}],"author":[{"embeddable":true,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/users\/6"}],"version-history":[{"count":12,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/project\/1633\/revisions"}],"predecessor-version":[{"id":4666,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/project\/1633\/revisions\/4666"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/media\/1640"}],"wp:attachment":[{"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/media?parent=1633"}],"wp:term":[{"taxonomy":"domein","embeddable":true,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/domein?post=1633"},{"taxonomy":"sector","embeddable":true,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/sector?post=1633"},{"taxonomy":"programma","embeddable":true,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/programma?post=1633"},{"taxonomy":"funder","embeddable":true,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/funder?post=1633"},{"taxonomy":"partners","embeddable":true,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/partners?post=1633"},{"taxonomy":"showcase","embeddable":true,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/showcase?post=1633"}],"curies":[{"name":"word processing","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}