RootLens｜現場の作業をロボット開発へ｜協力事業者募集中！

撮影では、このような機材を使用します📸 （着用の様子はイメージです）

📸 撮影データの需要がある業種と、主な作業をまとめました👇

Second capture site confirmed 🏍️ A motorcycle repair shop in Osaka. Real repairs, real mechanic, cap-mounted camera on. The network is growing. – at Ikeda-shi, Osaka

Improved our camera rig. Balancing the front and back with the battery and iPhone was key. This significantly reduces the strain on the shooter.

We are collecting ego-data at a bakery. Every day we capture dense, efficient manual work. After one week of daily iteration on site we've learned to minimize worker burden and fatigue while getting high quality data. This success at one location is already leading to the next. – at Minoo-shi, Osaka

Just got an Honorable Mention at @OpenNetwork_Lab Series T! We weren't selected for the pitch stage, but honestly just applying was worth it. Super thankful for the $2,500 in @OpenAI API credits. Gonna make every token count 🫡 – at Ikeda-shi, Osaka

First commercial capture session is in. Every session ships sensor-rich. RGB, LiDAR depth, 6DoF pose, IMU, all nanosecond-synced. This week: pilot data collection, plus tight feedback loops with the site on long-session ergonomics. Fixing friction before we scale. – at Ikeda-shi, Osaka

First capture site confirmed 🎉 A popular bakery in Minoh, Osaka. Starting this Saturday, a baker goes in with a headgear camera and works a real shift. RootLens is live. 📸 @MWLMA4LniN3WdaL – at Ikeda-shi, Osaka

Film your day. Train robots. Get paid. We built a camera app that turns your household tasks into robot training data. You keep your rights. Every time a robot company licenses your clip, you earn — not once, every time. Payments run on Solana. Alpha testing now. Public beta in weeks 👇 ↓waitlist↓ forms.gle/xUNreXCAw4onM8u26 @SuperteamJapan @sol_hack3rs

Published a sample dataset for physical AI, humanoid and VLM(VLA) on the RootLens LP. - 48 egocentric household activity episodes recorded in Japan - with 3D hand poses, wrist 6DoF action vectors, and natural-language action labels Now discussing this sample dataset with data providers as we prepare for large-scale data collection by users through the RootLens app.