Anomaly Detail
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Fletcher Vision ingests images directly from your line, compares each item against its batch peers, and pinpoints anomalies before they become downtime. No golden references. No retraining. Just dependable inspection tuned to your operating constraints.
Schedule an AssessmentHigher values hide low-score regions.
Processed images will appear here.
Images are not retained on the backend after processing.
Examples shown use the public VisA dataset to illustrate how batch comparison pinpoints outliers for operators. No customer data is displayed.
Image pairs derived from the Visual Anomaly (VisA) dataset. [1]
Rules-based vision fails when unfamiliar defects appear. Our inspection engine evaluates the natural variation inside each batch so deviations stand out instantly, without seeing or training on them.
Each image is contrasted against the live cohort to highlight novel patterns, materials, or damage.
We connect to your camera feeds and station workflows so findings arrive where action happens.
24/7 system checks and status digests keep quality teams ahead of emerging issues.
We adapt state-of-the-art vision research to operate in a zero-shot fashion, requiring no reference images or training. We rely on visual intelligence derived from Vision Transformer models to analyze each image.
In collaboration with the latest vision models, our algorithmic suite can identify both anomalous images, as well as anomalous portions of the image.
Stream to our managed cloud with encrypted transit and customer-controlled access.
