Package detection, warehouse mapping, route optimization data, shipment document extraction, and last-mile delivery annotation for logistics AI.
Package types, carrier formats, document layouts, and warehouse zone definitions cataloged. Barcode and label degradation categories defined (torn, faded, partial, angled, occluded).
Conveyor belt camera feeds processed at frame rates matching sorting speeds (3-5m/s). Motion blur detection and image quality filtering applied before annotation.
Bounding boxes and instance segmentation for packages on conveyors, shelves, and pallets. Dimension estimation annotations (length, width, height) for volumetric weight calculation training.
Barcode regions, shipping label fields (sender, recipient, tracking number, weight), and waybill entities extracted. Multi-format support across carriers (FedEx, UPS, DHL, USPS, and regional).
Warehouse imagery annotated for slot occupancy, aisle identification, rack position, and inventory type. Navigation waypoints and obstacle regions labeled for AGV/AMR path planning.
Labeled data delivered with WMS-compatible formats, carrier-specific field mappings, and real-time processing benchmarks. Integration tested against client's sorting and inventory systems.
Generic annotation vendors can label data. Domain experts label it correctly. Here's why the difference matters in your industry.
Packages moving at 3-5m/s on a conveyor belt create motion blur, partial visibility, and overlapping scenarios. Our annotators are trained on high-speed logistics imagery — achieving 98%+ detection accuracy in conditions where standard annotation quality drops below 85%.
A FedEx label looks different from a DHL waybill, a Chinese customs declaration, or a Brazilian postal form. Our annotators handle 20+ carrier formats with field-level extraction schemas — supporting global supply chain operations across regions and carriers.
AGV and AMR navigation requires more than obstacle detection — it needs aisle identification, rack position mapping, and traversability assessment. Our spatial annotation pipeline produces navigation-ready data that powers warehouse automation systems.
See how our domain-specific capabilities compare to generic annotation services.
| Capability | UTL Data Engine | Typical Vendor |
|---|---|---|
| High-speed conveyor imagery annotation (3-5m/s) | Frame-rate matched | Static images only |
| Multi-carrier label format support (FedEx, UPS, DHL) | 20+ carriers | 3-5 carriers |
| Package dimension estimation annotation | Volumetric training | Detection only |
| Warehouse AGV/AMR navigation labeling | Waypoint + obstacle | Not available |
| Barcode degradation classification | 6 degradation types | Binary (readable/unreadable) |
| WMS-compatible output formats | System-integrated | Custom export |
"Annotating packages moving at 3m/s on a conveyor belt requires extreme precision. UTL's team delivered consistent quality across millions of frames for our automated sorting system."
Let's discuss your specific data challenges and build a tailored annotation pipeline.
