Passive Optical Item Tracking via Visual Projection
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Solution Overview
Problem
Tracking small or frequently moved physical items is challenging due to their tendency to be lost or misplaced, and existing solutions relying on active hardware tags often fail when covered or out of range, requiring users to actively search for the items.
Innovation Solution
A system using passive optical tracking that identifies items in images and projects location images onto the environment to indicate the item's current location, allowing users to quickly find them, even when the items are not in direct view or have been moved.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If active hardware tags are used to track items, then item location can be determined, but the system fails when items are covered or out of range and requires additional hardware that can malfunction
Solution Approach 1:
The patent replaces active mechanical/electronic hardware tags with a passive optical imaging system. Instead of using transmitting tags and receiving devices, the system uses cameras to capture images and computer vision algorithms to identify and track items. This substitution eliminates the need for additional hardware on items and removes the limitations of transmission range and coverage issues.
Solution Approach 2:
The system creates visual copies of item locations through projected images. When an item is identified in the physical environment, the system projects a visual indicator (such as a colored dot or outline) onto the item's location, creating a visual copy that guides users to the item. This copying mechanism provides reliable location indication without requiring the item itself to have any hardware.
2Loss of information
If additional tracking hardware is attached to items, then item location can be monitored, but the item becomes harder to find when the hardware fails or is covered
Solution Approach 1:
The system allows items to be tracked without any modification to the items themselves. Items are passively imaged by cameras and identified through computer vision algorithms that recognize item characteristics. The items serve themselves by being detectable through their visual properties alone, without requiring attached hardware that could fail or be covered.
Solution Approach 2:
The system introduces an intermediary computational layer between the physical item and the user. Instead of directly interacting with hardware tags on items, the system uses image processing algorithms to extract location information from visual data. This intermediary processing layer provides robust location tracking by analyzing item appearance and context, making location information available even when items are in complex environments.
3Loss of time
If users actively search for misplaced items, then items can be located, but significant time and effort are required
Solution Approach 1:
The system performs preliminary tracking and location determination automatically and continuously. Instead of waiting for users to actively search for items, the system proactively monitors item locations, processes images, and determines where items are positioned. When users need to find an item, the location information is already available and can be immediately presented through projected visual indicators, eliminating the need for time-consuming active search.
Solution Approach 2:
The system provides continuous feedback about item locations through projected visual indicators. When an item's location is determined, the system projects a visual marker (such as a colored circle or outline) directly onto or near the item's position in the physical environment. This feedback mechanism guides users directly to items without requiring them to search through multiple locations, significantly reducing search time and improving tracking efficiency.
Data Source
AI summary
Tracking an item of interest through an environment is described. Tracking the item of interest through the environment is accomplished using passive optical tracking where an item is identified in an image of the environment using image processing and various locations of the item are tracked through the environment. When a user wants to know an item's location, a location image is projected onto the location of the item to allow a user view a current location of the item.