Platform Item Tracking Using Image Overlap and Trigger Detection

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Solution Overview

Problem

Identifying and tracking items in real-time is computationally intensive and time-consuming, especially when multiple items are involved, and maintaining accuracy in dynamic environments with shifting cameras, 3D sensors, and platforms is challenging.

Innovation Solution

A system using cameras and 3D sensors to identify and track items on a platform, with features like camera recalibration based on homography updates, intelligent triggering event detection, and container-based classification to improve efficiency and accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional item identification methods are used, then identification accuracy can be maintained, but processing time increases and productivity decreases

Engineering Contradiction:

Improveitem identification accuracyVSAvoiditem identification throughput

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system performs preliminary actions by capturing a reference image of the empty platform before items are placed. This reference image is stored and later used for comparison to quickly identify placed items without requiring full processing, thereby maintaining accuracy while improving throughput.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The identification process is segmented into distinct phases: capturing reference images of the empty platform, detecting triggering events when items are placed, and comparing current images against the reference. This segmentation allows the system to process only relevant changes rather than analyzing entire scenes, improving productivity while maintaining measurement precision.

Inventive Principle:

Principle #1Segmentation

2Measurement precision

If multiple cameras and sensors are used to track items in dynamic environments, then measurement precision and reliability improve, but device complexity increases

Engineering Contradiction:

Improveitem tracking accuracyVSAvoidsystem configuration complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system merges multiple data sources including images from overhead cameras, depth information from 3D sensors, and weight data from scale sensors into a unified item identification and tracking process. By combining these sensors and their data streams, the system achieves high measurement precision and reliability while managing device complexity through integrated processing.

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS20260080548A1System and method for identifying unmoved items on a platform during item identification

Publication Date: 2026.03.19 7-ELEVEN INC

AI summary

A first image of the platform is captured. A first item identifier of the first item is identified and stored in a memory. A second image of the platform is captured, and is compared with the first image. Upon determining that the first item depicted in the second image overlaps with the first item depicted in the first image and the overlap equals or exceeds a threshold, the first item identifier is assigned to the first item depicted in the second image. A second item identifier of the second item is identified, and information associated with the first item identifier and the second item identifier is displayed on a user interface device.