Predictive Analysis Module for Object Location Tracking
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Solution Overview
Problem
People often struggle to locate misplaced objects due to memory loss or forgetfulness, leading to inefficiency and frustration, especially as the number of objects to track increases with age-related memory decline.
Innovation Solution
A computer program product and system that utilizes object tracking information and a predictive analysis module to determine the location of an object by processing offload events, employing machine learning and artificial intelligence to predict the object's current location based on historical data and user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a predictive analysis module is added to improve object location accuracy, then object discovery efficiency is improved, but device complexity increases
Solution Approach 1:
The system is divided into distinct modules: an object tracking information module that manages database queries and a predictive analysis module that performs AI-based location prediction. This segmentation allows each module to specialize in specific functions, improving overall object discovery efficiency while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The predictive analysis module acts as an intermediary between the object tracking information system and the user. When standard database queries fail to locate an object, the predictive module intermediates by analyzing historical tracking data and offload events to predict current object location, thereby improving discovery efficiency without requiring complete system redesign.
2Loss of time
If predictive analytics are used to locate objects, then time spent searching is reduced, but computational resources increase
Solution Approach 1:
The predictive analysis module is not continuously active but is invoked selectively when standard object tracking queries fail to locate an object. This partial action approach reduces unnecessary computational resource consumption while still providing rapid location prediction when needed, thereby reducing search time without excessive energy use.
Solution Approach 2:
The system performs preliminary object tracking using standard database queries before invoking the computationally intensive predictive analysis module. This preliminary action filters out cases that can be resolved quickly, ensuring that predictive analytics are only applied when necessary, thus optimizing the balance between search time reduction and computational resource management.
Data Source
AI summary
Provided are a computer program product, system, and method for determining locations of an object using object tracking information and a predictive analysis module. Object tracking information has information on properties of an object and locations of the object. An offload event included in the object tracking information indicates at least one of a location where the object was offloaded and a receiving person that received the object when offloaded. In response to a query for the object from a requestor, a response is returned to the requestor indicating a location at which the object was last offloaded from the object tracking information. A predictive analysis module is invoked to process information on a location of the requestor and on the object to predict a location where the object is currently located to return to the requestor.