Short answer
Applying and replacing labels on cartons, pallets and parcels means placing a thin, flexible, sticky object in a specific position, then often verifying a scan. Fulfillment centers may hold video, relabeling records and scan results. The data supports placement and verification understanding; peeling, smoothing and alignment skill needs robot or teleoperation data, not footage alone.
Why labels are an awkward manipulation target
A shipping label is nearly two-dimensional. It curls off a backing sheet, sticks to fingers, wrinkles over carton edges and can fold onto itself in a second. The target position is often defined to within a small zone: clear of seams and tape, flat on a face, with the barcode readable and unobstructed. That combines a deformable-object problem with a precision-placement problem, and with a downstream check, because a label that is unreadable is only discovered when a scanner fails.
Relabeling adds a decision. The worker must find the old label, decide whether it is superseded, cover or remove it, and apply the new one, sometimes after a returned or rerouted parcel. The cases split into at least four groups that a buyer should keep distinct: first-time application, replacement over an old label, relabeling because a scan failed, and relabeling for a changed destination or client.
What a logistics label identifies
Labels carry identifiers, and the identifier model matters for linking video to records. The GS1 Serial Shipping Container Code is an 18-digit key that uniquely identifies a logistic unit such as a case, pallet or parcel, usually encoded in GS1-128 on the GS1 Logistic Label or in EPC/RFID (GS1). It also keys Advance Shipping Notice and despatch advice data. That describes the identifier, not how a label is physically applied, so this page does not state placement rules; consult the carrier, retailer or GS1 documentation your use case requires.
For data purposes the useful point is linkage: if a unit carries a unique code, a recording of its labeling can in principle be tied to the scan event, the shipment record and any exception. The barcode scanning workflows page covers how those scans appear as time-stamped records.
Task anatomy
Confirm these steps with the supplier, because print-and-apply stations, manual stations and relabel benches differ:
- Print or retrieve the label, from a thermal printer, a pre-printed roll or a pick ticket.
- Peel it from the backing and orient it.
- Position it on the target face, avoiding seams, tape, curved edges and prior labels.
- Press and smooth, removing bubbles and corner lift.
- Verify by scanning, with a manual rescan or a camera scan.
- Handle exceptions: unreadable label, label on the wrong face, wrong unit.
- Remove or cover an earlier label when relabeling.
Failure modes are specific: skewed placement, label wrapped over a corner, label over a seam, adhesive failure on dusty or cold surfaces, a thermal print that fades, and a second label stuck over the first so that two codes are visible.
What the data can support
| Data | Supports | Does not provide |
|---|---|---|
| Close-up station video | Placement zone, peel and press sequence, hand pose | Forces, adhesive behavior |
| Scan-result logs | Pass/fail labels per unit and timestamp | The cause of a failure |
| Images of finished labels | Placement-quality classification, readability checks | The motion that produced them |
| Relabel request records | Reasons and frequency of relabeling | Spatial detail |
| Carrier or customer chargebacks for bad labels | Examples of consequential errors | Usually sparse and aggregated |
Camera coverage at pack stations often catches the labeling step as part of broader packing. See pack station camera recordings for what that footage usually does and does not show, and dimensioning and weighing records for the data that precedes label printing at many stations.
Suppliers and routes
Fulfillment centers, parcel hubs, distributors and third-party logistics providers may hold footage from pack and relabel stations, along with scan logs and exception lists. A relabel bench is often a quieter, better-lit place than a general aisle, which can help capture. Existing recordings were usually made for loss prevention or process audit, so the camera may sit above the worker's shoulder and show the label as a small patch of pixels.
A commissioned program can fix this: a close-up camera aimed at the target face, a second view for context, labels of several sizes and materials, and a deliberate mix of correct application and common defects. Because labels carry addresses and identifiers, commissioned capture should use synthetic or dummy labels where possible. The value-added services tasks page covers adjacent work such as inserts and sticker application.
Illustrative capture specification
# Illustrative only - synthetic values, not an available dataset
task: apply_shipping_label
unit_types: [carton_small, carton_large, poly_mailer]
label_stock: [paper_thermal, synthetic]
views:
- {name: face_closeup, purpose: placement_zone}
- {name: station_overhead, purpose: sequence}
labels_on_data:
placement_zone: bbox_on_face
defect_flags: [skew, over_seam, wrinkle, corner_lift, double_label]
scan_result: pass | fail | rescan
content_policy: dummy addresses and codes only for commissioned capture
excluded: robot actions, press force, adhesive behavior
If sizing is discussed, a plan to cover three unit types by two stocks by five defect flags gives thirty cells; those inputs are arbitrary and not minimums. The count of examples needed per cell depends on the architecture and the task.
What this data cannot support
- Robot control. Peeling a label and pressing it flat needs robot or teleoperation data, ideally with tactile or force sensing. Footage, label images and recognition data alone cannot train a controller.
- Adhesive and surface behavior. Dust, cold and surface texture change how a label sticks; video shows the result only.
- Compliance with a carrier or customer label standard. Conformance requirements come from those documents; this data does not establish them, and no compliance conclusion should be drawn.
- Reading accuracy. Barcode reading is a separate problem with its own printers, scanners and tolerances; see object recognition versus manipulation data for the general distinction.
Permissions and provenance
Real labels carry names, addresses and order numbers. Ask whether recordings and images include readable personal data, whether that content can be removed without ruining the view of the label, and who owns the customer data. Redaction reduces risk but does not settle permissions. This is not legal advice.
Questions to ask suppliers
- Which labeling modes exist: print-and-apply, manual peel, or relabel bench?
- What label stocks, sizes and carrier formats appear?
- Is any camera close enough to see the label placement zone?
- Are scan-result logs available and linkable to video by unit or time?
- How are relabels requested, and are reasons recorded?
- Do images or video expose personal data on labels, and can it be masked?
- Are defect examples, such as skew or double labels, retained?
- Can recording be scheduled with dummy labels?
- Who can license recordings of client shipments, and under what terms?
Discuss your requirements
If you are defining labeling or relabeling data, describe the label types, verification records and permitted uses to SourceX. SourceX reviews the requirement, looks for US businesses that may hold suitable material, checks the data and the supplier's licensing permissions, and follows up about potential sources. If no existing asset fits, SourceX can scope a commissioned collection of new recordings. A request does not guarantee a match. The humanoid training data guide and the warehouse data hub give the wider picture; also see the warehouse exception handling page.
Describe the workplace demonstration data your robotics project needs
Sources
- Serial Shipping Container Code (SSCC) — SSCC as a logistic-unit identifier carried on GS1 logistic labels; identifier context only.