Visually Scannable Code Tracking for Multi-Operator Training Data
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Solution Overview
Problem
Existing systems face challenges in providing quick and efficient access to training data for multiple parties, such as trainers and athletes, when tracking training routines with multiple operators involved.
Innovation Solution
A tracking system generates unique visually scannable codes (e.g., QR codes) that embed user action data and operator identifiers, allowing for efficient data retrieval and management of training routines by linking multiple codes to a user identifier, enabling easy access and display of action data when scanned.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If visually scannable codes are used to track training routines with multiple operators, then data retrieval efficiency is improved, but system complexity increases due to managing multiple codes and their associations
Solution Approach 1:
The system segments training data by creating separate visually scannable codes for each operator-user action combination. Each code encapsulates specific action data and operator identifiers, allowing granular tracking while maintaining individual code simplicity. This segmentation enables efficient retrieval of specific training actions without requiring complex queries across entire training datasets.
Solution Approach 2:
The visually scannable codes serve as intermediary elements between operators, users, and the central system. Each code acts as a self-contained data carrier that bridges the gap between multiple operators working with the same user, enabling seamless data exchange and association without direct system intervention for each interaction.
2Measurement precision
If multiple visually scannable codes are generated for different operators and actions, then tracking precision is improved, but data management complexity increases
Solution Approach 1:
The visually scannable code system is designed with multi-functionality to handle various tracking scenarios. Each code can represent different actions, operators, and users while maintaining a consistent structure. The system universally applies the same code generation and scanning mechanism across all training sessions, eliminating the need for different tracking methods for different scenarios and reducing management complexity.
Solution Approach 2:
The code structure employs nesting by embedding operator identifiers, user identifiers, and action data within hierarchical layers of the visually scannable code. This nested organization allows the system to maintain high tracking precision through detailed data capture while simplifying management through a unified code structure that can be consistently generated and processed.
3Loss of information
If action data is embedded in visually scannable codes for quick access, then information availability is improved, but code size and storage requirements increase
Solution Approach 1:
The system extracts only the essential action data and operator identifiers needed for quick tracking into the visually scannable codes. Non-critical or redundant information is excluded from the code structure, allowing rapid data retrieval while maintaining compact code sizes. Detailed information can be accessed through the codes without embedding everything directly in the visual representation.
Data Source
AI summary
Methods and systems disclosed herein enable tracking user actions by generating different visually scannable codes (e.g., QR codes) for combinations of user, operator, and action(s). Each visually scannable code may be stored with user action data and an operator identifier and linked to another visually scannable code corresponding to the user. When a visually scannable code is scanned, all data associated with the visually scannable code and data associated with other linked visually scannable codes is generated for display. By generating the visually scannable codes and storing the codes in a linked state, the system is able to provide quick and efficient data retrieval.