Image Attributes Proof of Delivery Model

AI Data Capture SDK 4.0

Overview

Model Name: image-attributes-proof-of-delivery

The Image Attributes Proof of Delivery (POD) model analyzes images at a fixed input size to detect a specific attribute. For each detected attribute, the model returns a confidence score between 0.0 and 1.0. For more details, see Image Attributes.

Note: Zebra strongly recommends updating to the latest models.

Version History

New in v2.2.1

  • Updated default values for Image Attributes:

    Metric Name Current Value New Value
    Image Quality Clear
    (ImageQualityClear)     		0.08 0.03
    Surround Visible
    (ImageTagSurroundVisible)     		0.56 0.57
    People Visible
    (ImageTagPeopleVisible)     		0.55 0.12
    Package Visible
    (ImageTagPackageVisible)     		0.55 0.28

New in v2.1.0

  • Introduced more precise attribute detection and new default values, as detailed in the table below:

    Metric Name Current Value New Value
    Image Quality Clear
    (ImageQualityClear)     		0.06 0.08
    Surround Visible
    (ImageTagSurroundVisible)     		0.59 0.56
    People Visible
    (ImageTagPeopleVisible)     		0.09 0.55
    Package Visible
    (ImageTagPackageVisible)     		0.20 0.55

Requirements

  • Operating System: Android 14 or higher. For specific OS versions, refer to the AI Data Capture SDK Release Notes on the Zebra support portal.

  • Minimum SDK Version: AI Data Capture SDK v4.0.0 or later.

  • Licenses: A Picture Proof of Delivery License (AI Blueprint, Annual) is required. The SKU for this annual license is ZEBRA-AI-BP-PPOD. See Licensing for procurement and deployment instructions.

  • Supported Zebra Devices:

    Features Platform Device Model
    Products with DSP
    Fastest and most battery efficient    		 QC6490 TC53, TC58, TC73, TC78, ET60, ET65
    Q-6690 ET401

    For more information on devices based on platform, see Zebra Platform Devices.

  • Memory Requirements: Since running multiple on-device models concurrently is highly resource-intensive, using multiple models within the AI Data Capture SDK is recommended for high-memory devices only.

Resources