Zebra AI Data Capture 4.0

What Can Zebra Mobile Computers Do with AI Data Capture 4.0?

A supported Zebra mobile computer can do more than scan one barcode at a time. With an Android application built on Zebra AI Data Capture SDK 4.0, its camera can locate multiple barcodes, recognise products and shelves, capture printed text, guide the user on screen, check delivery photos, redact sensitive information and run approved custom vision models.

  • For warehouses, retail, logistics, field service and operations teams
  • Covers eight practical camera-based capture capabilities
  • Explains what each function means for frontline work
Multiple carton and shelf barcodes located in one Zebra AI Data Capture image

More than single scanning

See many barcodes in one camera view

Useful when a worker needs to find labels across a rack, carton group, pallet position or document instead of aiming at one code at a time.

Zebra AI Data Capture locating products, shelves and electronic shelf labels

Retail computer vision

Locate products and shelf labels

A retail application can use the camera view to detect products, shelves, shelf labels and peg labels before applying its business rules.

Zebra Text OCR capturing product description, reference, quantity and date from a carton label

Printed-text capture

Read text that is not stored in a barcode

Text OCR can help an application capture printed references, quantities, descriptions or dates when the required value is visible as text.

Function overview

Eight ways Zebra AI Data Capture can extend a PDA workflow

Function What the PDA application can do Example frontline use
Barcode Decoder Locate and decode 1D and 2D barcodes from a camera image, including scenes with multiple codes. Find carton, serial-number or location labels across one view.
AI Barcode Finder Guide a user towards a target barcode in a scene. Find the required parcel or asset among similar labelled items.
Product and Shelf Recognizer Detect products, shelves, shelf labels and peg labels for retail applications. Support shelf checks, product-location tasks or store audits.
Text OCR Recognise printed words and group results into lines or paragraphs. Capture references, quantities, descriptions or dates from labels.
Entity tracking and viewfinder Display visual feedback for detected, selected, decoded or pending items. Show workers what has already been captured and what remains.
Image Attributes Detector Check image qualities or content such as blur and required object presence. Prompt a delivery driver to retake an unsuitable proof photo.
Image Transform Detector Transform images and redact detected sensitive elements such as text, barcodes or people. Prepare photos for a controlled operational record.
Custom Detector Connect an approved third-party machine-learning model to the Zebra tracking flow. Recognise an organisation-specific object or condition.
The important boundary: these are SDK capabilities for an Android application, not pre-installed finished workflows. The user interface, business rules, system connection and exception handling still need to be configured or developed.

Barcode functions

Use the Zebra PDA camera to find, decode and guide barcode capture

Instead of treating the PDA camera as a simple trigger, an application can process a wider scene, display several recognised codes and help the operator select the correct item.

Zebra Barcode Decoder reading many printed barcodes in one image

Decode multiple labels together

This can reduce repeated aiming when labels are grouped on a sheet, rack, carton area or batch of items. The application must still decide which decoded values are relevant.

Zebra AI Barcode Finder demonstration on an Android mobile computer

Guide the user to a target barcode

AI Barcode Finder can support workflows where the operator knows which item is required but needs help locating its label in a busy scene.

Zebra EntityTrackerAnalyzer detecting and decoding several parcel barcodes on warehouse shelves

Keep results visible while the camera moves

Tracking components can retain on-screen feedback for detected items so the application can show decoded, selected or unresolved entities as the user works.

Retail functions

Recognise shelf structure and enrolled products through the PDA camera

Zebra Product Recognizer identifying retail products and their UPC values

Recognise enrolled products

When the product set and model are prepared for the application, the PDA camera can help identify products and return associated recognition results for the workflow.

Zebra AI Data Capture demo showing product, shelf, OCR and barcode functions

Combine the function with a store task

The value comes from the application around the model: for example, deciding which shelf to inspect, which result needs confirmation and what record should be updated.

Plan for the real store: product range, packaging changes, shelf layout, lighting, reflections and partly hidden items should all be included in testing.

Text OCR

Capture printed information that a barcode does not contain

Text OCR can recognise printed words and return them to the Android application. This may help when a carton, document or label shows a reference, quantity, description, date or other value as visible text.

  • Define the exact fields the user needs.
  • Test the real fonts, layouts, languages, contrast and lighting.
  • Show the recognised result for confirmation when accuracy matters.
  • Provide a manual correction or exception route.

What OCR does not decide

The model can return recognised text, but the business application must decide which field it belongs to, whether the result is acceptable and where the data should be sent.

Guided user experience

Show the operator what the PDA has detected and what to do next

EntityViewfinder and EntityTrackerAnalyzer help application developers create a capture screen with visual feedback. A user can see which object is detected, selected, decoded or still waiting for action instead of relying on a simple success beep.

On-screen feedback Why it helps the worker
Detected outline Shows which label, object or region the camera has found.
Decoded state Helps avoid scanning the same item again.
Selected target Lets the application focus on the item required by the task.
Retry prompt Gives the worker a clear next step when the result is incomplete.

Three camera-based capture functions

Capture barcodes, shelf data and printed text from one PDA camera view

Zebra AI Data Capture 4.0 can analyse different types of information in a camera image, but these three functions return different results. Start with what the frontline task needs to find, then define how the application should validate and use that result.

Zebra Barcode Localizer marking multiple barcode positions in one shelf and carton image

Barcode Localizer

Locate multiple 1D and 2D barcodes in one view

Barcode Localizer first finds barcode positions in the image. The application can then pass the required regions to Barcode Decoder. A worker does not have to aim at every label individually when processing one shelf, a group of cartons or a document containing several barcodes.

  • Suitable workflows: receiving, stocktaking, pick verification, carton or document label checks.
  • The application must define: which barcodes are required, whether the set is complete and where the result should be recorded.
  • Pilot tests should cover: barcode size, distance, glare, damage, obstruction and the number of labels in one view.
Zebra Product and Shelf Localizer marking products, shelves and shelf labels

Product and Shelf Localizer

Separate products, shelves, shelf labels and peg labels

This function marks the positions of products and shelf elements in the camera view, giving a store application the location of each item. If the workflow needs to identify the actual product, the application can pass the localised region to the product-recognition function.

  • Suitable workflows: locating a product, checking displays, restock prompts and shelf-label verification.
  • The application must define: which shelf to inspect, which products are enrolled and when a result needs manual confirmation.
  • Pilot tests should cover: packaging changes, similar designs, lighting, glare, obstruction, aisle width and capture distance.
Zebra Text OCR extracting part number, quantity and date text from a carton label

Text OCR

Turn printed label content into text the application can use

Text OCR detects and recognises printed text in an image. When a reference number, quantity, description or date appears only on the label and is not contained in the barcode data, the application can capture the text and validate it against field and format rules.

  • Suitable workflows: receiving-document input, carton-label checks and batch or date capture.
  • The application must define: which field each text region belongs to, acceptable formats and when the user must correct a result.
  • Pilot tests should cover: real fonts, sizes, orientations, languages, layouts, contrast and operational lighting.
None of these functions is a finished application: each deployment still needs an Android application, business rules, data fields and backend integration, tested on the intended Zebra model and in the real operating environment.

Custom vision

Connect an approved custom detector to the Zebra tracking flow

Custom Detector lets an application integrate a third-party machine-learning model or SDK. This can support an organisation-specific object or condition that is not covered by the standard model set.

The project still needs clear ownership for model training data, testing, false results, versions, device performance and long-term support.

Zebra Custom Detector identifying several object types through a mobile computer camera
Diagram of an Android application using Zebra AI Data Capture viewfinder, analyser, detectors and models

How the pieces connect

The PDA supplies the camera and processing platform; the app supplies the workflow

  1. The Android application opens the Zebra camera-based capture experience.
  2. The selected detector or model analyses the camera frame or saved image.
  3. The viewfinder can show detected, decoded or selected items to the user.
  4. The application validates the result and sends it to the relevant business process.
  5. Exceptions are retried, corrected or routed for review.

Application ideas

Where these Zebra PDA functions may fit

Operation Useful capability Example task
Warehouse receiving Multi-barcode decoding, OCR, guided viewfinder Read carton labels, capture printed references and show missing items.
Picking and stock checks Barcode Finder, entity tracking Locate the required label among similar cartons or locations.
Retail shelf work Product and Shelf Recognizer Support shelf inspection, product-location or store-audit applications.
Delivery and field service Image attributes, image transformation, PPOD Check photo quality and prepare a controlled proof record.
Specialised inspection Custom Detector Recognise an approved organisation-specific object or condition.

Easy Scan can help review suitable Zebra mobile-computer options, map warehouse and delivery requirements through our transportation and logistics solutions, and consider fleet management through the SOTI ONE Platform.

Device and application requirements

Not every Android device or Zebra model supports every function

Zebra publishes a version-specific device list for AI Data Capture SDK 4.0. The following general list was checked on 30 July 2026; individual functions and models can have narrower support, so confirm the exact model, Android version and detector before procurement.

Device platform Android Models listed by Zebra for SDK 4.0 Planning note
QC6490 with DSP Android 14 TC53, TC58, TC73, TC78, ET60, ET65 Zebra identifies DSP products as the faster and more battery-efficient direction.
QC6490 with DSP Android 13 TC58, TC78 Confirm the exact OS build and planned upgrade path.
QC5430 with DSP Android 14 EM45 Check the selected model and expected workload.
Q-6690 with DSP Android 15 ET401, TC501, TC701 Listed in Zebra’s version 4.0.6 support update.
QC4490 without DSP Android 14 TC53e, TC58e, MC9400, MC9450 Zebra limits this group to still-image use; do not assume the same real-time behaviour.
Application requirement: Zebra lists a target SDK of Android 14 or higher and the latest Android Studio. Multi-model use can be resource-intensive, so test the actual model combination on the proposed device.

Before choosing the PDA

Define the function first, then match the Zebra device and application

Question What to prepare
What must the user capture? Real barcodes, labels, shelves, products, printed text or delivery photos.
What should happen after capture? The next screen, validation rule, business-system update and exception route.
Where will the PDA be used? Real lighting, distance, movement, glare, network and environmental conditions.
Which application will use the result? Android application owner, API, offline handling, user confirmation and audit trail.
What is an acceptable result? Representative sample set, success criteria, retake rule and manual fallback.
Are privacy controls needed? Image content, redaction requirement, access, storage and retention rules.

Frequently asked questions

Zebra PDA and AI Data Capture 4.0 FAQ

Can a Zebra PDA scan several barcodes in one camera view?

Yes. Barcode Decoder can locate and decode multiple 1D and 2D barcodes from an image. The application still needs rules for selecting, validating and using the required values.

Can it identify retail products and shelf labels?

Product and Shelf Recognizer supports detection of products, shelves, shelf labels and peg labels for retail-facing applications. Product enrolment, model setup and testing in the real store environment are still required.

Can the PDA read printed text as well as barcodes?

Yes. Text OCR can recognise printed words and group results into lines or paragraphs. The application should validate the required field and provide correction or exception handling.

Can it check proof-of-delivery photos?

Zebra provides Image Attributes and Image Transform capabilities plus guided and non-guided Picture Proof of Delivery flows. The organisation must define the required photo content, quality, redaction and review rules.

Does AI Data Capture 4.0 work on every Zebra PDA?

No. Zebra publishes supported models and Android versions, and individual detectors may have narrower device lists. Confirm the exact device, OS, model, memory and required capability before selection.

Is it a ready-made application?

No. It is an SDK, AI model set and application components. A finished workflow still needs an Android application, user interface, business rules, system integration, security and operational support.

Discuss the workflow

Want to know which Zebra PDA function fits your operation?

Easy Scan is a Zebra Premier Solution Partner. Share your workflow, sample labels or photos, existing devices, Android environment and required result. We can help your Hong Kong team structure the device, application and deployment questions.

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