Combination of machine learning and robotics in action. Just collecting more data and with no changes to code, this robot from Tesla is able to learn a new complex task #aiml #computervision #robotics
Super excited to share our team's progress over the last few months. We can now accomplish long horizon tasks such as sorting blocks fully autonomously in a completely task-agnostic way. Just collect more data and we can train a new complex task without changing any code!
Unleash the power of Dataflow templates! Join Sascha Kerbler and earn how to reuse and share Dataflow pipelines, saving time and effort. Discover the benefits of using templates and gain hands-on experience. 👉 For more information:
Passionate and experienced web developer|| solve challenging problems on programming ||Azure certified cloud administrator
🚀 Just Completed a YOLOv9 Project! 🚀 I'm thrilled to announce that I've successfully implemented a YOLOv9 model for detecting helmets on engineers! 🎉 Here's a quick overview of what I've achieved: 🔍 Objective: Enhance safety compliance by automatically detecting whether engineers are wearing helmets. 🔧 Tech Used: YOLOv9, a state-of-the-art real-time object detection system. 🖼️ Dataset: Collected and annotated images of engineers with and without helmets to train the model effectively.
𝐍𝐞𝐰 𝐜𝐚𝐬𝐞 𝐬𝐭𝐮𝐝𝐲 𝐚𝐛𝐨𝐮𝐭 "𝐀𝐧𝐨𝐦𝐚𝐥𝐲 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐢𝐧 𝐓𝐫𝐚𝐜𝐤 𝐒𝐜𝐞𝐧𝐞𝐬" 𝐩𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐝! For the sector initiative Digitale Schiene Deutschland, our client Deutsche Bahn asked us to develop a machine learning solution that automatically detects anomalous/hazardous objects on train tracks. We really enjoyed working on this interesting machine learning problem and ended up using MonoViT (a self-supervised learning model based on vision transformer) and the segment anything model. If you are interested in learning more about the problem and our solution, read our full case study here: https://lnkd.in/d3yhs3tE
Passionate and experienced web developer|| solve challenging problems on programming ||Azure certified cloud administrator
🚀 Just Completed a YOLOv9 Project! 🚀 I'm thrilled to announce that I've successfully implemented a YOLOv9 model for detecting helmets on engineers! 🎉 Here's a quick overview of what I've achieved: 🔍 Objective: Enhance safety compliance by automatically detecting whether engineers are wearing helmets. 🔧 Tech Used: YOLOv9, a state-of-the-art real-time object detection system. 🖼️ Dataset: Collected and annotated images of engineers with and without helmets to train the model effectively.
The Ames Deringer backflow is the lightest and shortest Backflow you have ever seen! https://hubs.ly/Q012zbQC0
The image of a machine breaking rocks while a liquid is being squirted on them is intriguing. This setup likely combines mechanical force with fluid dynamics to achieve a specific outcome. The liquid could serve multiple purposes: cooling the machine's components, reducing dust, or even lubricating the rocks to minimize wear and tear on the equipment. Could this method enhance efficiency and prolong machinery life? Understanding these nuanced interactions may open new pathways for innovation in heavy industries. #IndustrialInnovation #FluidMechanics #RockBreakingTech
An impressive blend of power and technology, this machine easily breaks rocks. 🪨 🚀 Explore more with Interesting Engineering! Check out our YouTube channel and subscribe: https://ie.social/V9yxY
Ready to simplify your data processing workflows? Dive into Beam YAML, the user-friendly way to define powerful pipelines without writing a line of code! Join Jeffrey Kinard on this practical hands-on session! 👉 For more information:
👉 Use Scatter in Chaos Vantage! Watch and learn how to distribute objects onto other objects using Chaos Scatter and how to randomize the scattered objects in Vantage. 🔗 Test drive Vantage today [https://lnkd.in/gfHTywZf]
In this blog post, we'll explore five advanced techniques that can unleash a world of creativity when using MIDI velocity. https://buff.ly/3SROBnT
