Wearable Device Tracking System for Facility Resource Optimization
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Solution Overview
Problem
In large distributed environments, it is challenging to track resources and determine how they are being utilized effectively, particularly in ensuring efficient task allocation and movement of employees within facilities.
Innovation Solution
A distributed system comprising wearable devices that communicate with computing systems to track user location, task status, and movement, using sensors like accelerometers to transmit data for real-time monitoring and optimization, while ensuring privacy through consent-based data collection and encryption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual tracking methods are used in large distributed environments, then employee privacy is maintained and system complexity is low, but resource tracking efficiency and real-time monitoring capability deteriorate
Solution Approach 1:
The patent replaces manual tracking methods with automated sensor-based systems. Wearable devices equipped with sensors (accelerometers, GPS, RFID) automatically collect and transmit employee location and activity data to centralized computing systems, eliminating the need for manual time cards, paper logs, and manual supervision, thereby dramatically improving resource tracking efficiency
Solution Approach 2:
The patent introduces wearable devices as intermediaries between employees and the centralized tracking system. These devices serve as mediators that collect data from employees through sensors and communicate with the centralized system via wireless networks, enabling automated tracking without requiring direct complex connections between every employee and the central system
2Measurement precision
If wearable devices with sensors are deployed for real-time tracking, then resource monitoring accuracy and task allocation efficiency improve, but employee privacy concerns increase and data security requirements worsen
Solution Approach 1:
The patent implements feedback mechanisms where the system provides employees with access to their own collected data through user interfaces on wearable devices or connected mobile devices. This transparency allows employees to verify what data is being collected, how it is used, and to control their privacy settings, thereby reducing privacy concerns while maintaining accurate tracking
Solution Approach 2:
The patent extracts and separates sensitive biometric data processing from the main tracking system. While location and activity data are collected continuously for tracking purposes, more sensitive biometric information is either not collected at all or is processed locally on the wearable device with only anonymized or aggregated results transmitted to the centralized system, reducing privacy concerns
3Productivity
If continuous data collection from wearable devices is implemented, then task optimization and operational efficiency improve, but data transmission energy consumption and processing load increase
Solution Approach 1:
The patent implements periodic data transmission instead of continuous streaming. Sensors on wearable devices collect data continuously, but transmissions to the centralized system occur at scheduled intervals or when significant changes in location or status are detected. This periodic action maintains operational efficiency by providing timely data while dramatically reducing energy consumption compared to continuous transmission
Solution Approach 2:
The patent applies partial action by selectively transmitting only the most relevant data subsets based on current operational needs. The system prioritizes transmission of critical location and status data while reducing or aggregating less critical information, thereby maintaining operational efficiency without the full energy cost of transmitting all collected data
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
The system enables efficient tracking and management of employee tasks and movements, improving resource allocation, reducing waste, and enhancing operational efficiency within facilities by providing real-time data analytics for task optimization.
Implementation Method 1
The wearable device can include an accelerometer configured to generate acceleration data
Data Source
AI summary
Exemplary embodiments of the present disclosure are related to a distributed system in which wearable devices communicate with computing systems to implement one or more actions or operations and sensor data transmitted by the wearable devices to the computing systems can be utilized to determine information about tasks being performed by the wearers of the wearable devices after consent is given and verified. Embodiments of the distributed system can include the wearable devices, wireless receivers (or transceivers), and a computing system.