Active learning for trade-specific symbol recognition

Generic vision models struggle with trade-specific symbols out of the box — proprietary low-voltage cabling, industrial process piping, specialty fire-protection. There's no way to fix this with a bigger general model. The fix is structural: every confirm/reject becomes ground truth that retrains a per-org recognizer. In this session, we walk through the active-learning architecture and the workflow customers use to train recognizers on their drawing dialects. Featured customer joins for the second half (specific accuracy curves and timelines are shared with the audience under the webinar's NDA framing rather than published).