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Fulfillment QC

Inspect package images for shipping readiness. LFM2.5-VL determines if a package is safe to ship or needs repackaging, identifying specific damage issues like torn corners, crushed boxes, and damaged labels. Includes a live simulation mode cycling through packages at conveyor speed.

Conveyor-speed inference — At <80ms per package, LFM2.5-VL keeps pace with high-speed conveyor belts in fulfillment centers

Defect classification — Not just pass/fail — identifies specific issues (torn corners, crushed boxes, label damage) with severity levels

Self-hosted, no per-image cost — Run on your warehouse GPU infrastructure. No cloud round-trips, no per-image API charges, no data leaving the facility

The Problem

Fulfillment centers process millions of packages daily. Manual inspection at conveyor speed is error-prone. Cloud vision APIs add latency and per-image costs that compound at warehouse scale.

How LFM Compares

Manual spot-checking by warehouse staff, basic rule-based image checks. Cloud APIs too slow and expensive for real-time conveyor belt QC.

What LFM Unlocks

Real-time package inspection at conveyor speed. <80ms per image, self-hosted, with defect classification and severity scoring.

Drop an image here or click to upload

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This demo is fine-tuned on sample data. Results improve with your data.

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