Computer Vision Kiosk Modules for Multi-Object Tracking Guidance
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Solution Overview
Problem
Existing kiosks lack efficient object tracking and guidance capabilities, particularly in environments with multiple objects and varying orientations, and do not provide user feedback on correct operation.
Innovation Solution
A kiosk equipped with computer-vision-based object tracking modules, including cameras and processors, that register and track objects within its field of view, and provide light or audio guidance using projectors or laser apparatuses to notify users of correct operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If computer-vision-based object tracking modules are added to the kiosk, then object tracking accuracy and user interaction efficiency are improved, but device complexity increases
Solution Approach 1:
The kiosk system is divided into multiple independent computer-vision-based object tracking modules, each with its own camera and processor. This segmentation allows the system to handle complex tracking tasks through modular units, improving tracking accuracy while managing overall system complexity through distributed architecture.
Solution Approach 2:
The object tracking modules serve multiple functions: they track objects, provide light guidance, and enable user interaction. This multi-functionality reduces the need for separate dedicated systems, improving overall system efficiency while managing complexity through unified modules.
2Ease of operation
If light guidance and audio feedback systems are integrated into the kiosk, then user feedback and operational clarity are improved, but device complexity and energy consumption increase
Solution Approach 1:
The system incorporates light guidance and audio feedback mechanisms that provide real-time information to users about object tracking status and operational correctness. This feedback loop improves ease of operation by keeping users informed, while the feedback is integrated into existing modules to minimize additional complexity.
Solution Approach 2:
The system uses color-changing light sources to provide visual feedback to users - different colors indicate different operational states or object identification results. This visual feedback mechanism is simple and effective, improving user interaction without requiring complex audio or display systems.
3Measurement precision
If multiple camera modules are deployed to track objects in different fields of view, then object tracking coverage and accuracy are improved, but device complexity and cost increase
Solution Approach 1:
The surveillance area is divided into multiple fields of view, each covered by a separate camera module. This segmentation allows comprehensive coverage of different zones while each module remains relatively simple and can be independently optimized for its specific viewing area.
Solution Approach 2:
The system transitions from a single-field-of-view approach to a multi-dimensional coverage approach by deploying cameras at different positions and orientations. This dimensional expansion provides comprehensive object tracking coverage without requiring each individual module to be overly complex.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate object tracking and guidance, allowing for efficient interaction with multiple objects and providing user feedback, enhancing operational clarity and efficiency.
Implementation Method 1
an image sensor that captures images within its field of view
Implementation Method 2
a laser apparatus that shines a light on the targeted object
Data Source
AI summary
An apparatus comprises a kiosk and one or more computer-vision-based object tracking modules connected to the kiosk, each module comprising a camera and a processor configured to register and track objects within a field of view of the camera of that module.