The engine owns the OCR backend, a shared OCR lock and a dedicated tag worker, so
a tag pass can never occupy a classification worker or slow a frame. A live
session plans rail bands on the frame loop (cheap), runs them on that worker, and
attaches whatever the cache already knows; a still runs one synchronous pass.
Tracks and detections now carry price_tag and reconciliation, and the summary
carries price_tags plus compliance. Config can turn tags off per session.
Compliance now fails closed on evidence quality. The first real run produced 106
"missing tag" violations on a shelf where only 8 tags were readable - our tag
*detection* was incomplete, not the shelf. A row is only judged when at least
half its facings carry tag evidence; otherwise it reports "tags detected for 14
of 91 facings in this row" as a hint. Missing-tag findings are one per row with a
count, not one per facing, and price_mismatch still reports every disagreement.
On add/image6.jpg the result is now 7 real price mismatches and no false
violations.
Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
reconcile() compares one accepted identity with its tag and the catalog entry and
publishes a state plus the individual signals (JAN exact, name by longest common
substring, price against either the sale or the regular price). It never changes
the product identity: a disagreement is a second opinion shown next to the first,
and only a checksummed barcode outranks the matcher.
evaluate_compliance() is the first rule family: missing_price_tag, the owner's
missing_tag_group (>= 3 consecutive facings without a tag), orphan_tag,
price_mismatch, plus an unreadable_tags hint. Every rule fails closed on evidence
quality - a row whose tags could not be read produces "move closer", never a
violation. Findings must appear in 3 of the last 5 frames before they publish, so
the UI never flickers.
Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>