RFID Token Timekeeping System for Automated Task Billing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing task-based billing systems are cumbersome and inefficient, requiring manual intervention to log time spent on tasks for clients, and existing automated systems fail to significantly reduce the inconvenience of inputting necessary information for calculating charges, especially when tasks involve multiple clients or lack physical files.
Innovation Solution
A system using electronically readable tokens with RFID tags that can be placed on a sensing device to automatically track time spent on tasks, with visible indicia for task identification and internal RFID tags, along with an application software module to generate billing information based on start and stop signals, allowing for easy switching between tasks and clients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual timer activation and task logging is used, then task-based billing can be implemented, but user convenience deteriorates due to cumbersome operations
Solution Approach 1:
The system uses RFID tags attached to physical files that automatically identify tasks and clients when scanned. The timer activates and deactivates automatically based on file presence at the workstation, eliminating the need for manual user input for task identification and timing operations.
Solution Approach 2:
The patent replaces manual mechanical operations (clicking buttons, typing information) with automated electronic detection using RFID scanning. The sensor automatically detects the RFID tag when the file is placed on the workstation, triggering the timing function without user intervention.
2Ease of operation
If RFID tags attached to files are used for automation, then data entry is partially automated, but convenience deteriorates when files are not physically present
Solution Approach 1:
The system provides multiple input methods: RFID scanning when files are present, and manual entry via touchscreen interface when files are absent. This multi-functional approach allows the system to adapt to different work scenarios, whether the attorney has the file physically present or is handling a call without the file.
Solution Approach 2:
The touchscreen interface acts as an intermediary that bridges the gap between RFID automation and manual input needs. It allows users to select tasks and clients manually when RFID scanning is not applicable, while still benefiting from automated timing functionality.
3Measurement precision
If manual entry of task information is required, then billing accuracy can be maintained, but time consumption increases
Solution Approach 1:
Task and client information is pre-coded in the RFID tags attached to files. When the file is scanned, this information is automatically retrieved and populated into the billing system, eliminating the need for manual entry while ensuring accuracy through pre-validated data.
Solution Approach 2:
The system copies pre-stored task and client information from the RFID tag database into the active billing record. This copying process replaces manual typing while maintaining data accuracy, as the information is replicated from the original source without human intervention.
4Productivity
If the system requires files to be scanned twice (start and stop), then timing can be tracked, but operational complexity increases
Solution Approach 1:
The system automatically activates the timer when the RFID-tagged file is detected at the workstation and automatically deactivates it when the file is removed. This self-service timing mechanism eliminates the need for users to perform separate start and stop scanning actions, reducing operational complexity while maintaining accurate time tracking.
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 provides a more convenient and user-friendly method for tracking time spent on tasks, reducing manual input and allowing for efficient correlation of task information with billing data, enabling accurate and automated time-based billing across multiple clients and tasks.
Implementation Method 1
a sensing device for detecting a token and decoding the information
Data Source
AI summary
An apparatus for tracking the time spent an different tasks on behalf of different entities comprises a plurality of tokens, each having an RFID coded with information uniquely associated with one of the tasks or one of the entities. A platform connected to a user's computer has an internal sensor that detects the RFID tag of a token placed on the top of the platform. Timing circuitry in the platform generates a start signal when the sensor detects a token's RFID tag and a stop signal when the token is removed from the platform. Decoding circuitry in the platform generates a data signal identifying the task or entity associated with the token. The user can then use his or her computer to associate the time spent on a task with a particular entity. Tokens include three-dimensional icons or text to identify the task or entity represented by each token, respectively.