Task Circumstance Processing Device Using Image Pattern Indexing
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Solution Overview
Problem
Existing video recording technologies for surveying business processes primarily focus on detecting movement and indexing segmented video recordings, but they do not effectively analyze task circumstances against predefined task definitions, limiting their ability to assess compliance and efficiency.
Innovation Solution
A task circumstance processing system that compares recognized task circumstances from system data and image data against predefined task definitions, using an extraction section to create indexes from image patterns and an output section to determine compliance with defined conditions, thereby assisting in the analysis of task execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video recording technology is used to survey business processes, then movement detection and segmentation are improved, but task circumstance analysis capability deteriorates
Solution Approach 1:
The patent segments video recordings into meaningful task units by detecting movement and creating indexes, then further segments the analysis by comparing specific task circumstances against predefined task definitions. This allows detailed analysis of specific task elements while maintaining overall context.
Solution Approach 2:
The patent introduces task definition data as an intermediary standard against which actual task circumstances are compared. This mediator enables systematic analysis by providing reference criteria for evaluating employee actions, customer behaviors, and process compliance.
2Productivity
If only movement detection and segmentation are performed, then processing speed is improved, but task compliance analysis capability deteriorates
Solution Approach 1:
The patent performs preliminary movement detection and segmentation to quickly identify regions of interest and create time-stamped indexes. This preliminary processing speeds up the overall system while enabling subsequent detailed compliance analysis against task definitions.
Solution Approach 2:
The system segments video analysis into two stages: rapid movement-based segmentation for speed, and detailed task circumstance comparison for accuracy. This multi-level segmentation allows the system to process video efficiently while maintaining high compliance analysis capability.
3Measurement precision
If detailed task circumstance analysis is performed, then compliance assessment accuracy is improved, but system complexity deteriorates
Solution Approach 1:
The patent uses task definition data as an intermediary that structures the complexity of compliance analysis. By comparing actual task circumstances against predefined task definitions, the system manages complexity through standardized reference criteria rather than ad-hoc analysis.
Solution Approach 2:
The system segments compliance analysis into discrete comparable elements: task definitions, actual task circumstances, and comparison results. This segmentation breaks down complex compliance assessment into manageable units that can be processed systematically.
4Reliability
If video recording is used for business process survey, then process monitoring capability is improved, but actionable insight generation deteriorates
Solution Approach 1:
The patent generates feedback by comparing actual task circumstances against task definitions and outputting compliance assessment results. This feedback loop transforms raw video monitoring data into actionable insights about process adherence, enabling continuous improvement.
Solution Approach 2:
Task definition data serves as an intermediary that translates video monitoring observations into meaningful compliance insights. By mediating between raw video data and actionable conclusions, the system generates practical insights about task performance and process adherence.
Data Source
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AI summary
A task circumstance processing system includes a processor that executes a process. The process includes: referencing a recognition information stored in a memory, the recognition information stores, for each of plural task processes in task definitions defining relationships between the plural task processes, recognition information for recognizing execution of each of the plural task processes, and extracting for each of the task processes a timing where the recognition information is expressed in observation data from observing circumstances of the task; and outputting a result of comparing a relationship between plural task processes that have been executed as identified by the extracted timings, against a relationship between plural task processes defined by the task definitions stored in the memory.