{"repo":"B-AROL-O/ARNEIS","free":true,"listed":false,"github":"https://github.com/B-AROL-O/ARNEIS","clone":"git clone https://github.com/B-AROL-O/ARNEIS.git","description":"Automated Recognizer, Network-Enabled, Items Sorter","language":"Python","stars":24,"topics":["hacktoberfest","automation","computer-vision","lego","opencv"],"license":"MIT","category":"machine-learning","readme_excerpt":"ARNEIS The ARNEIS (short for A utomated R ecognizer, N etwork- E nabled, I tem S orter) project is the winner of the Popular Vote of the OpenCV Spatial AI Contest sponsored by Intel® and Microsoft Azure. ARNEIS in a nutshell ARNEIS aims at reproducing in scale a packaging machine for the Industry-4.0, thanks to a combination of: 1. An OAK-D-Lite Spatial AI camera 2. A lot of LEGO® Technic parts 3. An intelligent combination of both existing and new Open Source software... 4. ... deployed to a hybrid Kubernetes cluster made with resources - partly on Azure cloud running on Intel® hardware - partly on the edge using either a Raspberry Pi or other Embedded Linux devices. ARNEIS Project documentation Even though the machine is made of LEGO®, we strived to develop the project in a professional way as we are used in our daily job. With this in mind we have released at the complete documentation of the ARNEIS project, including: - functional specifications - system and software architecture documents - design documents with detailed instructions for reproducing the machine - system integration and validation documents However, as the old adage says (and we learned it the hard way) One picture is worth a thousand words here is a 3-minute video which we submitted to the OpenCV Spatial AI Contest final on 2022-04-04: The source files for the software programs, the LEGO® MOC as well as the documentation site are maintained in the GitHub repository at . Whenever the m","default_branch":null,"files":null,"tree":[],"storefront":"/r/B-AROL-O","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/B-AROL-O/ARNEIS/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}