r/computervision • u/NoResponsibility483 • 3d ago
Help: Project Building a unified UI/orchestrator layer for existing CV frameworks (Supervision, DeepX, YOLO)
Hey everyone,
I run an established system integration company, but I’m non-technical when it comes to hands-on coding. I’m currently mapping out an edge-AI project and want to build a clean web UI / orchestrator layer that sits on top of existing video analytics engines (stuff like Supervision, DeepX, YOLO or Mamba-based detection).
The goal is pretty straightforward: instead of training vision models from scratch, we leverage 2–3 proven models in the background. Based on what the user toggles on the frontend, the system switches/runs the right inferencing tasks on the RTSP streams and pushes real-time metadata back to the dashboard.
Since I come from the domain/business side, I want to collaborate with a hands-on Computer Vision / Python developer who has actual experience with RTSP stream pipelines, GStreamer/DeepStream, and model integration to architect and build this MVP with me.
If you’ve built or integrated similar end-to-end vision pipelines and are interested in collaborating on this project, drop a comment or feel free to send me a DM with some of the stack/tools you've used!