Offline Visual Search for the Factory Floor
Your warehouse carries hundreds of carton SKUs. When workers find an unlabeled box, identifying it used to mean guessing or hunting through binders. Now they snap a photo on their phone and the system instantly returns the top-16 matching cartons — material number, dimensions, and similarity score — all without internet access.
Real screens from the running system — a live library of indexed cartons, size and text filtering, and a print-ready label, all running offline on the workshop PC.
Six capabilities that go from unlabeled box to printed SKU label in under a minute — no AI expertise required.
Point your phone camera at any unlabeled carton and tap to capture. The CLIP vision model compares your photo against the full image library and returns the top-16 most similar cartons, ranked by cosine similarity score.
Enter the carton's measured length, width, and height plus a tolerance range before running the AI search. The system narrows candidates to boxes that physically match first — dramatically improving accuracy for similar-looking SKUs.
Click any result card and the system generates a print-ready A4 SKU label with material number, dimensions, and a barcode. Send it straight to the nearest printer — no copy-pasting or manual entry required.
A QR code posted near the workstation lets any worker open the app instantly on their personal phone. The interface automatically activates the rear camera — no app store downloads, no accounts, no training needed.
Runs entirely on a Windows PC in the workshop — no internet required, no cloud subscription, no data leaving your facility. Workers on the same LAN reach it over Wi-Fi. The CLIP model (~581 MB) runs locally at full speed.
When your carton inventory changes, just add or remove photos and trigger a one-click reindex. No model retraining, no data science involvement, no downtime. The system adapts in minutes and is ready immediately.
Four steps, under a minute. No expertise or training required from the worker.
Scan the QR code at your workstation to open the app on your phone. Point the rear camera at the unlabeled carton and tap to capture. Optionally enter measured dimensions to enable size filtering.
The CLIP model encodes your photo into a feature vector and performs cosine similarity search across the full carton image library — all processed locally on the workshop PC in seconds.
The app displays the top-16 matching cartons with thumbnail images, material numbers, dimensions, and similarity scores. Scroll to confirm the correct SKU visually.
Tap the correct result card and send an A4 SKU label directly to the nearest printer. The carton is labeled and back in the workflow — no manual lookups, no transcription errors.
We'll set up a live demo using your actual SKU photos — see top-16 results on your own unlabeled boxes before you commit to anything.
Request a Demo