Wearable Tracking System for Automated Task Verification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Ensuring compliance with numerous regulations, such as those from OSHA, and verifying task completion in a timely manner is time-consuming and often relies on verbal confirmation, which can be unreliable.
Innovation Solution
A tracking and monitoring system utilizing machine learning to verify task completion by tracking a person's location and motion data through a network of wearable computing devices and wireless access points, allowing for automated verification of task completion in various settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual tracking and monitoring methods are used to ensure compliance with regulations and verify task completion, then reliability of verification is improved, but productivity and time efficiency deteriorate
Solution Approach 1:
The patent replaces manual mechanical verification processes with an automated electronic tracking system. Wearable devices with sensors continuously collect data on personnel location, motion, and task performance, automatically verifying compliance with regulations and task completion without manual intervention. This substitution maintains verification reliability while dramatically improving productivity.
Solution Approach 2:
The system enables self-service verification where the wearable devices automatically track and report compliance information without requiring external manual checking. The devices autonomously monitor their own wearers' movements, locations, and task completion status, and automatically transmit this data to the central system for verification, eliminating the need for manual oversight.
2Device complexity
If manual verification of task completion is used, then device complexity is reduced, but loss of time increases
Solution Approach 1:
The system performs preliminary tracking and data collection continuously in the background before verification is needed. The wearable devices constantly monitor location, motion, and task-related parameters, so when verification is required, the data is already collected and ready for immediate analysis, eliminating time delays associated with manual verification processes.
Solution Approach 2:
The system implements continuous feedback loops where sensor data from wearable devices is constantly transmitted to and analyzed by the central system. This real-time feedback mechanism automatically verifies task completion and compliance status, providing immediate verification results without the time loss inherent in manual checking processes.
3Productivity
If automated tracking systems are implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The system divides the tracking functionality into separate modular components: wearable devices with sensors for data collection, wireless communication modules for data transmission, and a central system for data processing and analysis. This segmentation allows each component to be optimized independently while working together to achieve high productivity, managing overall system complexity through modular architecture.
Solution Approach 2:
The wearable devices are designed as multi-functional units that simultaneously perform location tracking, motion sensing, task verification, and communication functions. By consolidating multiple tracking and monitoring capabilities into a single universal device, the system improves productivity across multiple operations while avoiding the complexity increase that would result from deploying separate specialized devices for each function.
Data Source
AI summary
A system and method for tracking and monitoring persons. To begin, the presence of a user at a location is determined when the userID is identified in the primary input data. The user's motion are determined using the primary input data and the secondary input data when the presence of the user at the location is determined. The position of the user is determined using the secondary input data when the presence of the user is determined. A matching algorithm is used to identify reference data that is similar to the primary input data or secondary input data and thereby determines completion of a user task of the user. transmit, via a communications device communicatively coupled to the control circuit, a notification is transmitted to a user computing device for conveyance via the user interface when completion of the user task is determined.