{"id":23100523,"url":"https://github.com/pseudoincorrect/food_prod_optimization","last_synced_at":"2026-04-16T12:39:33.567Z","repository":{"id":92888940,"uuid":"471006791","full_name":"pseudoincorrect/food_prod_optimization","owner":"pseudoincorrect","description":"Robotized Food Production Optimization","archived":false,"fork":false,"pushed_at":"2022-03-24T13:57:56.000Z","size":16153,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-09T09:09:55.485Z","etag":null,"topics":["industry-40","machine-learning","optimization","robotics"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/pseudoincorrect.png","metadata":{"files":{"readme":"Readme.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2022-03-17T13:29:28.000Z","updated_at":"2022-03-17T13:35:59.000Z","dependencies_parsed_at":null,"dependency_job_id":"fa10fa02-ec99-4a76-86cd-8fcc9c45f404","html_url":"https://github.com/pseudoincorrect/food_prod_optimization","commit_stats":{"total_commits":22,"total_committers":3,"mean_commits":7.333333333333333,"dds":"0.31818181818181823","last_synced_commit":"277ac2e941e72b90d54acc9ac7266279341ddccb"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pseudoincorrect%2Ffood_prod_optimization","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pseudoincorrect%2Ffood_prod_optimization/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pseudoincorrect%2Ffood_prod_optimization/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pseudoincorrect%2Ffood_prod_optimization/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pseudoincorrect","download_url":"https://codeload.github.com/pseudoincorrect/food_prod_optimization/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247078801,"owners_count":20879950,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["industry-40","machine-learning","optimization","robotics"],"created_at":"2024-12-16T23:32:58.573Z","updated_at":"2026-04-16T12:39:28.542Z","avatar_url":"https://github.com/pseudoincorrect.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Food Production Chain Optimization (Industry 4.0)\n\nOptimization of the flow in a robotized food production chain.\n\nSystem regrouping machine vision, optimization and robot control to optimizing the flow of items on a conveyor belt.\n\n\u003cbr/\u003e\n\n---\n\n\u003cbr/\u003e\n\n\u003cbr/\u003e\n\n\u003cp align=\"center\"\u003e\u003cimg width=75% src=\"support/images/robot_arm.jpg\"\u003e\u003c/p\u003e\n\u003cp align=\"center\"\u003e \u003ci\u003e Robot arm with vision system \u003c/i\u003e \u003c/p\u003e\n\n\u003cbr/\u003e\n\n\n## 3 Parts System\n\n### 1) Vision\n- Image acquisition of 3 food/ingredients container.\n\n- Processing of ingredients level (in pixels) within the 3 containers.\n\n- Data communication server (socket) to exchange data between processes\n\n### 2) Optimization\n- Optimization of the robot positioning depending (not only) of containers level and ingredients flow\n\n- Timing of the command to be sent to the robot, provided by the optimization algorithm\n\n- Data reception for vision and Serving to Robot control\n\n### 3) Robot Control\n\n- Robot control depending of the optimization commands\n\n- Data reception process\n\n\u003cbr/\u003e\n\n\u003cp align=\"center\"\u003e\u003cimg width=75% src=\"support/images/robot_arm_diagram.jpg\"\u003e\u003c/p\u003e\n\u003cp align=\"center\"\u003e \u003ci\u003e System architecture \u003c/i\u003e \u003c/p\u003e\n\n\u003cbr/\u003e\n\n\u003cbr/\u003e\n\n---\n\n\u003cbr/\u003e\n\n## Authors (alphabetical order)\n- Ashhadul Islam (Ph.D Student)\n- Brenno Castrillon Menezes (Assistant Professor)\n- Maxime Clement (Software Engineer)\n- Mohammad Yaqot (Ph.D Student)\n- Robert Eduard Franzoi Junior (PostDoc)\n- Shaymaa Fawzi M. Khalifa (Software Engineer)\n\n## Notable technologies used here\n- OpenCV\n- IMPL\n- ZeroMQ\n- FCN model\n- Python","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpseudoincorrect%2Ffood_prod_optimization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpseudoincorrect%2Ffood_prod_optimization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpseudoincorrect%2Ffood_prod_optimization/lists"}