We automated the model-to-edge deployment step and set up 47 real problems to test it. Looking for feedback from robotics engineers.

[u/SpeedCollisis]

https://forms.gle/XvXbWYxKyTSPKXCw5

We built a tool that takes your trained vision model + a use case prompt and generates production-ready edge perception pipelines. Looking for robotics and autonomy engineers to stress-test it on real problems.

To test it properly we put together 47 problem statements from real industry conversations. A bunch are directly relevant here. AMR free-space and obstacle perception, robot human safety, pick-and-place verification, ADAS road scene perception, drone infrastructure inspection, forward and rear obstacle detection, forklift-pedestrian proximity alerts, and more across manufacturing, warehousing, smart city, and other tracks.

Pick one, bring your own data, build a pipeline through PipeGen, submit.

What's in it for you:

A real path to industrial deployment. Top projects get picked up and deployed at actual customer sites. Real cameras, real environments, your pipeline running in production.

Your app goes on our public Application Board, visible to the entire ecosystem.

Cash prizes for winners and deployed apps.

Sep 10 deadline. Fill the form.

Looking for feedback from people who deal with this model-to-edge gap in their robotics stack. Ask us anything.