Appliance Object Status Tracking via Body Part Detection
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Solution Overview
Problem
Existing image-based recognition systems for appliances lack the ability to efficiently track object status and automate functions based on real-time image data from access regions, leading to incomplete inventory management and inefficient processing.
Innovation Solution
An object status tracking system that utilizes at least one imager and a controller to detect parts of a person's body and objects within an access region, identifying object characteristics and updating statuses by processing image data to initiate automated appliance functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image-based recognition systems are used to track objects in appliances, then object status tracking capability is improved, but system complexity increases due to additional imagers and processing requirements
Solution Approach 1:
The system divides the monitoring space into distinct access regions with specific imagers positioned to capture particular areas, allowing modular tracking of different objects and reducing overall system complexity through localized monitoring zones
Solution Approach 2:
The controller performs multiple functions including detecting body parts, identifying objects, determining object statuses, and initiating automated appliance functions using a single integrated system, reducing the need for separate specialized components
2Extent of automation
If real-time image data processing is implemented to detect body parts and objects, then automation capability is improved, but processing time and computational load increase
Solution Approach 1:
The system pre-positions imagers in specific access regions and pre-configures detection algorithms for body part recognition, allowing rapid real-time processing by having detection capabilities ready before objects or body parts enter the monitoring zones
Solution Approach 2:
The system continuously monitors image data and provides real-time feedback to the controller, which automatically initiates appliance functions based on detected object-status combinations, creating an automated feedback loop that reduces manual intervention while maintaining efficient processing
Data Source
AI summary
An object status tracking system is disclosed. The system comprises an appliance comprising at least one operating volume and an access region through which the operating volume is accessed. The system further comprises at least one imager and a controller. The controller is operable to detect at least one part of a person's body in the access region based on the image data and identify the object in connection with the part of the person's body. Based the detection of the object in connection with the person's body, the controller is configured to identify a status of the object. The status of the object is determined based on a process occurring in the operating volume of the appliance.