Pcb Components Detection Recognition is a camera board published by talisma-cassoma, with public design files on GitHub. Check the repository terms before reuse. The author describes it as: “this code shows the train and test of a YOLOV5 convolutional neural network for detection of electronics components.”
27 people have starred it and 8 have forked it, with the last commit 2 years ago.
What’s in the repository
- Schematic and board source files published by the author
- Full revision history, so you can see how the board changed between versions
Licence and reuse
No license is declared on the repository. Publishing files publicly is not the same as granting permission to reuse them, so ask the author before you build on this design.
Opening it in ProtoFlow
The repository does not clearly state which EDA tool produced the files — check the repository contents before planning an import.
- 01 Select “Edit in ProtoFlow” for opening options. Download the source and open supported KiCad files in the app. Other EDA formats may need conversion.
- 02 Work in the imported local copy: rename nets, swap parts against live distributor stock, re-route, or strip it back to the sub-circuit you actually need.
- 03 Keep the original licence and credit talisma-cassoma if you publish or sell what you build from it.
This page indexes a public repository. The design, the files and the copyright belong to talisma-cassoma; ProtoFlow does not host, mirror or verify them. Details are read from GitHub and refreshed periodically — check the repository for the current state of the project.
