Computer vision
Researching local visual understanding for defined operational events, with emphasis on useful context and reviewable output.
Applied research in computer vision, OCR, local language models, edge AI, automation, and connected physical systems.

Researching local visual understanding for defined operational events, with emphasis on useful context and reviewable output.
Exploring smaller language-model workflows that can operate closer to protected business data and physical locations.
Developing practical document-understanding workflows for invoices, counts, labels, and other operational records.
Prototyping ways to turn structured store signals into repeatable tasks, alerts, and human-in-the-loop workflows.
Studying how useful inference can run on location hardware with resilient coordination when connectivity changes.
Publishing selected engineering work when it is mature, supportable, and useful beyond a single StoneCoast product.