Bucket Robotics - (YC S24)

A port of DINOv2 to JAX has recently appeared in the Hugging Face Transformers repository! JAX has been somewhat limited in off-the-shelf models for vision, which makes this an especially good addition. At Bucket Robotics, we're always exploring the latest advancements to push the boundaries of defect detection in manufacturing. This could open up new possibilities for improving training times -- leading to faster model deployments! Check it out here: https://lnkd.in/d-ZWG7PH

Just got our new PCB NFC business cards from Diode Computers, Inc.! They’re so cool, Diode even made the little LED light up orange (our company color) when the card activates! Hopefully I’ll get a lot of use out of them at #IMTS.

🚀 We launched Bucket Robotics on Hacker News, and the response has been incredible! 🎉 At Bucket, we’re transforming defect detection in manufacturing by creating custom models directly from CAD designs. This approach allows us to deliver ready-to-use detection models before the mold's installed, saving time and reducing errors. Defect detection is critical in the $300 billion injection molding market, and our solution is making it faster, more accurate, and more accessible. We’re thrilled to share this journey with the community and continue pushing the boundaries of what’s possible in manufacturing automation. Check out our post on Hacker News to learn more: https://lnkd.in/g6GWn23r

𝗜𝗻𝗷𝗲𝗰𝘁𝗶𝗼𝗻 𝗠𝗼𝗹𝗱𝗶𝗻𝗴 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗛𝗶𝗱𝗱𝗲𝗻 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗼𝗳 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 Injection molding is a process that requires precision-machined molds—typically made from steel or aluminum. However, even when a manufacturer uses two or more machines to produce the same part, the parts coming out of the molds are never truly identical. This is because each mold is machined slightly differently, leading to unique failure rates and specific zones where defects are likely to occur. For example, one mold might be milled just a fraction of a millimeter lower on one side, which could increase the likelihood of issues like flashing on your part. Traditional defect detection systems rely heavily on samples and labels, requiring a significant amount of data to create a system that works across different production lines. At Bucket Robotics, we tackle this inconsistency head-on. By incorporating these tolerances into our defect detection build process, we use CAD and synthetic data to deliver tailored models rapidly. This approach not only saves time but also enhances the accuracy and reliability of defect detection across multiple lines, ensuring that every part meets the highest quality standards.

One of the most awaited blogs on Bucket Robotics - (YC S24) bringing edge ML to manufacturing industries. Thank you Matt for sharing your insights and thoughts on how the industry is growing and adopting AI applications! Written with: Harini Anand Share this with your network to keep them updated with startup stories building exciting AI tools ♻

We're counting down the days until IMTS - International Manufacturing Technology Show in Chicago! Our CTO Stephan Wolski will be there representing Bucket and talking about computer vision and manufacturing!

🚀 Enabling onshoring and reshoring is no small feat, and we're leading the charge! Excited to share our latest innovation in defect detection for manufacturing! 🔍 Discover how we're transforming defect detection for molded and cast parts—doing it ⚡ 12-48x faster than anyone else. Watch our new video to learn more and let us know: What challenges do you face in your QA processes? 👉 https://lnkd.in/e8eNCV9D

At Bucket Robotics - (YC S24), productivity is everything. While we’ve developed tools to optimize every step of creating our defect detection models, it’s often the small inefficiencies that snowball into bigger frustrations. One such annoyance? Switching from the editor—our favorite place to be—to a web browser just to open a go/ link. So, while waiting for a rendering and training job to finish, we built a simple CLI tool to search and open go/ links (hosted by our friends over at OrgOrg (YC S24)) directly from the terminal. We’ve found it incredibly handy and are excited to open-source it for anyone else who might find it useful: https://lnkd.in/e6-dqnmW.

Last Friday, we had the incredible opportunity to demo our customer onboarding process at Y Combinator's headquarters with Garry Tan! It was an exciting day filled with innovation, collaboration, and a lot of great conversations. At Bucket Robotics, we're committed to delivering seamless and efficient onboarding experiences for our customers, ensuring that they get up and running with our defect detection solutions faster than ever before. Being able to showcase this process in front of the YC community was a significant milestone for us, and we're thrilled with the positive feedback we received. Big thanks to everyone who made this day possible, and to the Y Combinator team for their continued support!

🚗 𝐄𝐥𝐞𝐜𝐭𝐫𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐒𝐡𝐚𝐩𝐢𝐧𝐠 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐀𝐮𝐭𝐨𝐦𝐨𝐭𝐢𝐯𝐞 𝐏𝐥𝐚𝐬𝐭𝐢𝐜𝐬 🔋 As the automotive industry accelerates towards electrification, the demand for lightweight materials like plastics is on the rise. 🌍 By 2040, Battery Electric Vehicles (BEVs) and Plug-In Hybrid Electric Vehicles (PHEVs) are forecasted to make up 60% of global passenger vehicle production. But what does this mean for the use of plastics in cars? The heavier batteries in EVs present a challenge to fuel efficiency, driving manufacturers to seek lighter alternatives to traditional materials like steel. This shift is boosting the demand for polymer composites and other plastics, which are key to offsetting the weight of EV components. However, the landscape is complex. While electrification and lightweighting are pushing polymer demand upward, challenges like fluctuating EV sales, changing consumer behavior, and increasing recycling efforts are shaping the future of this market. At Bucket Robotics, we understand the crucial role that material innovation plays in the evolving automotive sector. Our advanced defect detection solutions are designed to keep pace with these industry trends, ensuring that lightweight and sustainable materials meet the highest standards of quality. 📊 Curious about how these trends will impact polymer demand in the auto industry? Dive into the latest insights from industry experts, and let’s discuss how our technology can support your journey toward more efficient and sustainable vehicle manufacturing. https://lnkd.in/erHbSfmG