Luxonis

🎙 Our CEO Bradley Dillon was a guest on the The Axis Effect podcast. The topic of discussion is obvious. #AI, #ComputerVision for #Robotics and how this technology will affect our lives. You can listen on Spotify or Apple podcast 🎧 https://lnkd.in/e7wtDvME https://lnkd.in/e9ZYRjV6

The revolution of humanoid personal assitants is starting in egypt ! It was the best decision taken to make our graduation project a humanoid personal assitant robot “RAFEQI” the name represents the robot’s nature as he can be the best assistant and friend. We started this project from scratch in the previous august and it was under development for a whole year and went through 2 phases , the first phase was with 3D printed body while the second was with a raisin body and some updates in the head design. We experienced working on forward kinematics, natural language processing featuring ChatGPT API, computer vision using Luxonis oak-d pro , localization , inverse kinematics and GUI and website development. RAFEQI was an updated version of poppy robot made by Pollen Robotics in both the body design and features regarding the upper body , the lower body was inspired by reachy robot made also by Pollen Robotics but also some changes were made to lower the base cost and weight . The team managed to decrease the robot cost almost 3 times which was the main aim of the project , thankfully the project has participated in Information Technology Industry Development Agency, ITIDA graduation projects competition and already won a fund, in addition to this the project is qualified to Rally Egypt SCU Society And thankfully Arab Academy for Science, Technology and Maritime Transport gave us unlimited support. Great team members : Gaser Ehab & Salma Amer and zeyad magdy The project was under dr hany hanafy and eng/Osama AbdElRazek Continuous support was from eng/Mohamed Kasem

We are looking for a Jr. Business Development Manager to join our team. Please apply if interested or pass along to someone you know who would be a good fit.

Experience the future of precision agriculture with FRAVEBOT Scout 2024, now in daily operation at Farma Ráječek. This innovative robot boasts: Yield forecast: Up to 2 weeks in advance, optimizing farm planning (forecast for customers, resource allocation). Pest and disease detection: Early identification for proactive intervention and minimized crop loss. High-fidelity monitoring: 24 x 4K Luxonis OAK cameras and PAR (Photosynthetically Active Radiation) sensors provide daily insights into every plant and fruit. Enhanced safety: Banner Engineering LiDAR ensures safe operation within the farm environment. Precise navigation: 3D OAK-D and OAK-1 cameras enable seamless navigation. Extended uptime: Conductix-Wampfler Wireless charging keeps the robot operational for 20 hours a day. Efficient coverage: Delivers a workday capacity of 2-3 hectares. Fast data transfer: 60GHz connection ensures captured data reaches the central farm server promptly. Cloud-based analytics: Extracted data is uploaded to the cloud for in-depth trend analysis. Actionable insights: GoodData platform presents clear, actionable information for informed decision-making. Automation: Built on the reliable Siemens Simatic ET 200SP platform. #FRAVEBOTScout2024 #PrecisionAgriculture #AgTech #Innovation

A minor update of DepthAI is released. Changelog is available here 👇 https://lnkd.in/e3fXKm2D #OAKCamera #AI #DepthAI

We have launched a status page 🌐 monitoring all online services provided by the Luxonis Hub. You'll find there any ongoing incidents and planned maintenance. Plus you can register for notifications to stay informed. Check it here: https://status.luxonis.com

Precise box measurement 📦 using AI and Time-of-Flight (ToF) technology! In his article, Erik Kokalj examines the implementation of the ToF camera OAK-D-SR-PoE to achieve accurate and efficient volumetric measurements. AI model from Roboflow is applied, data are processed by OpenCV & Open3D and Rerun is used for visualization. More details and source code are included in Erik's blog post. ⏬ https://lnkd.in/emDuUtjp #OAKCamera #ToF #AI

Luxonis 𝐎𝐀𝐊-1-𝐏𝐎𝐄 𝐀𝐮𝐭𝐨 𝐅𝐨𝐜𝐮𝐬 😎 👏 Amazing showcase from Germany! Ingroth.de has impressively utilized our OAK-1 PoE camera in their innovative detection solution for beer barrel handles! 🇩🇪🍺 The 𝐎𝐀𝐊-1-𝐏𝐎𝐄 𝐀𝐮𝐭𝐨 𝐅𝐨𝐜𝐮𝐬 can be effectively utilized in various industrial sectors for quality inspection and defect detection systems on assembly lines. Its advanced AI capabilities and high-resolution imaging make it ideal for identifying defects in manufactured products, ensuring consistency, and maintaining high-quality standards. 𝐀𝐮𝐭𝐨𝐦𝐨𝐭𝐢𝐯𝐞 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲: detect imperfections in car parts 𝐄𝐥𝐞𝐜𝐭𝐫𝐨𝐧𝐢𝐜𝐬 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠: Inspect circuit boards for soldering issues or component misplacement. 𝐏𝐡𝐚𝐫𝐦𝐚𝐜𝐞𝐮𝐭𝐢𝐜𝐚𝐥 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲: Ensure the accuracy of pill counts and identify packaging defects. 𝐓𝐞𝐱𝐭𝐢𝐥𝐞 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲: Examine fabrics for tears, stains, or pattern inconsistencies. 𝐅𝐨𝐨𝐝 𝐚𝐧𝐝 𝐁𝐞𝐯𝐞𝐫𝐚𝐠𝐞 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲: Inspect bottles and cans for correct labeling and seal integrity. 𝐀𝐞𝐫𝐨𝐬𝐩𝐚𝐜𝐞 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲: Check for surface defects in aircraft components to ensure safety and reliability. The 𝐎𝐀𝐊-1-𝐏𝐎𝐄 𝐀𝐮𝐭𝐨 𝐅𝐨𝐜𝐮𝐬 is also valuable in the 𝐏𝐚𝐜𝐤𝐚𝐠𝐢𝐧𝐠 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 for verifying label accuracy and detecting packaging defects. These use cases demonstrate its versatility in enhancing efficiency and accuracy in quality control processes across different industries. 𝐘𝐨𝐮 𝐜𝐚𝐧 𝐜𝐨𝐧𝐭𝐚𝐜𝐭 𝐦𝐞 if you want suggestions and guidance to build an accurate inspection systems for your industrial manufacturing assembly line. #computervision #ai #qualityInspection #defectDetection #oak1Poe

Teaching Reachy to do stuff on its own...Along with our friends from LeRobot team at Hugging Face, "Repetition" became the mantra of the day as we teleoperated Reachy to perform the same task hundreds of times. All this effort is to teach the robot to master it autonomously using an end-to-end model. More info on Reachy 2 here: https://lnkd.in/epg4sa-w #ImitationLearning for the #RealWorld