{"id":1007,"date":"2022-09-08T13:05:05","date_gmt":"2022-09-08T13:05:05","guid":{"rendered":"https:\/\/www.scorpion.vision\/?post_type=projects&#038;p=1007"},"modified":"2022-09-22T10:46:21","modified_gmt":"2022-09-22T10:46:21","slug":"ai-based-post-harvest-vegetable-processing","status":"publish","type":"projects","link":"https:\/\/www.scorpion.vision\/projects\/ai-based-post-harvest-vegetable-processing\/","title":{"rendered":"AI Based Post Harvest Vegetable Processing"},"content":{"rendered":"<p><section data-kc-fullwidth=\"content\" class=\"kc-elm kc-css-581341 kc_row\"><div class=\"kc-row-container\"><div class=\"kc-wrap-columns\"><div class=\"kc-elm kc-css-842569 kc_col-sm-12 kc_column kc_col-sm-12\"><div class=\"kc-col-container\">\n\n<div class=\"hero-row fade-in\">\n    <div class=\"hero-row__inner\">\n        <h1>\n            <em>Projects<\/em>            <strong>AI Based Post Harvest Vegetable Processing<\/strong>        <\/h1>\n            <\/div>\n<\/div><\/div><\/div><\/div><\/div><\/section><section class=\"kc-elm kc-css-621214 kc_row\"><div class=\"kc-row-container  kc-container\"><div class=\"kc-wrap-columns\"><div class=\"kc-elm kc-css-542586 kc_col-sm-12 kc_column kc_col-sm-12\"><div class=\"kc-col-container\"><div class=\"kc-elm kc-css-841127 kc_row kc_row_inner align-middle\"><div class=\"kc-elm kc-css-833450 kc_col-sm-6 kc_column_inner kc_col-sm-6\"><div class=\"kc_wrapper kc-col-inner-container\"><div class=\"kc-elm kc-css-303080 kc_text_block title--border-bottom btn btn--dark\"><\/p>\n<p>Traditional optical sorting and grading systems use classic machine vision to look for features in the product image. These are known or expected features, such as the tip of a carrot or the flat bit of the stem on a leek when it transitions to the roots. Most of the time these features conform to a pattern or shape that is expected. With an organic object such as a vegetable, there is never a fixed size, shape or colour of anything, and this presents a problem to classic camera systems that only rely on known shapes or patterns because the variation means that there will always be a high percentage of unknowns.<\/p>\n<p><strong>In an automation system that relies on classic machine vision, this can translate to a relatively poor yield output from the machine.<\/strong><\/p>\n<p><strong><a href=\"https:\/\/www.scorpion.vision\/wp-content\/uploads\/2022\/07\/Ai-based-Post-Harvest-Vegetable-Processing.pdf\" target=\"_blank\" rel=\"noopener\">For more information download our case study<\/a><\/strong><\/p>\n<p>\n<\/div><\/div><\/div><div class=\"kc-elm kc-css-818441 kc_col-sm-6 kc_column_inner kc_col-sm-6\"><div class=\"kc_wrapper kc-col-inner-container\"><div class=\"kc-elm kc-css-982016 kc_text_block statistics\"><\/p>\n<p><strong>60%<\/strong><br \/>\nof leeks may be correctly processed with the roots cut correctly at the exact point.<\/p>\n<p>\n<\/div><div class=\"kc-elm kc-css-380713 kc_text_block statistics\"><\/p>\n<p><strong>20%<\/strong><br \/>\nof leeks may be cut roughly, at a poor angle or slightly too short\/too long.<\/p>\n<p>\n<\/div><div class=\"kc-elm kc-css-495240 kc_text_block statistics\"><\/p>\n<p><strong>20%<\/strong><br \/>\nof leeks may be written off or not cut at all.<\/p>\n<p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section><section class=\"kc-elm kc-css-940735 kc_row\"><div class=\"kc-row-container  kc-container\"><div class=\"kc-wrap-columns\"><\/div><\/div><\/section><\/p>\n","protected":false},"featured_media":459,"template":"","categories":[14,11],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI Based Post Harvest Vegetable Processing - Scorpion Vision<\/title>\n<meta name=\"description\" content=\"Discover our project on AI-based post-harvest vegetable processing. 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