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QR Cattle — A cattle biometric identification archive: the product identifies individual animals by video capture of the animal's natural markings/muzzle pattern and matches the capture against a centralised single database, reporting >98% match accuracy against the global (all-properties) database and 100% within a single property's own database. The byproduct is a labelled set of animal video/image captures where each capture is bound to a unique, verified animal identity — i.e. biometric enrolment samples with ground-truth one-to-one identity labels, plus the associated herd health-safety …
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A cattle biometric identification archive: the product identifies individual animals by video capture of the animal's natural markings/muzzle pattern and matches the capture against a centralised single database, reporting >98% match accuracy against the global (all-properties) database and 100% within a single property's own database. The byproduct is a labelled set of animal video/image captures where each capture is bound to a unique, verified animal identity — i.e. biometric enrolment samples with ground-truth one-to-one identity labels, plus the associated herd health-safety and sustainability records per animal. Centralised across all properties to prevent duplicate identities.
From 2 yearsCoverage Consumer Staples · Information TechnologyAsset class Equities
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QR Cattle — A cattle biometric identification archive: the product identifies individual animals by video capture of the animal's natural markings/muzzle pattern and matches the capture against a centralised single database, reporting >98% match accuracy against the global (all-properties) database and 100% within a single property's own database. The byproduct is a labelled set of animal video/image captures where each capture is bound to a unique, verified animal identity — i.e. biometric enrolment samples with ground-truth one-to-one identity labels, plus the associated herd health-safety …
QR Cattle offers (Alternative, Reference, Supply Chain) — Order of 10^4-10^5 enrolled animals each with one or more verified video captures plus re-capture attempts, so roughly 10^4-10^5 labelled biometric samples with rejections included. Not publishable as a figure — the site gives accuracy rates, not counts..
Training individual-animal re-identification and muzzle/natural-markings biometric models (with verified identity labels, a rare supervision source in livestock), animal-image quality-assessment and capture-usability classifiers trained on the rejected-capture set, one-shot and few-shot instance matching under field conditions (mud, occlusion, varying phone cameras), livestock theft and identity-fraud detection models, and identity-anchored herd health and traceability models joining biometric ID to sanitary events.
The data is with 2 years of history.
Coverage spans Other, US; Agricultural Products & Services, Application Software; alternative, reference, supply_chain; equities.
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