Worker Pose and Article Orientation Estimation for Task Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems lack the capability to accurately estimate tasks being performed by workers based on images, as they rely solely on the state of articles, which can lead to inaccuracies when the article's state does not change or when multiple tasks share the same work spots.
Innovation Solution
A processing system that estimates the pose of a worker, position and orientation of an article, and state of the article, and uses this information to determine the work spot, allowing for task estimation based on both the article's state and work spot, thereby enhancing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If task estimation relies solely on the state of articles, then the system is simple to operate, but the measurement precision of task estimation deteriorates
Solution Approach 1:
The patent merges multiple estimation dimensions (article state, work spot location, worker pose, article position and orientation) into a unified task estimation framework. This combination allows the system to differentiate between tasks that would otherwise appear identical when relying solely on article state, thereby resolving the technical contradiction by improving measurement precision through integrated multi-parameter analysis.
2Reliability
If the system estimates only article state, then the processing speed is fast, but the reliability of task differentiation deteriorates
Solution Approach 1:
The patent segments the task estimation process into distinct analytical components: article state estimation, work spot estimation, worker pose estimation, and integrated task determination. This segmentation allows each component to be processed efficiently while maintaining high reliability through the cumulative analysis of all segments, resolving the contradiction between processing speed and task differentiation accuracy.
3Measurement precision
If the system uses multiple parameters for task estimation, then the task estimation accuracy improves, but the device complexity increases
Solution Approach 1:
The patent implements a universal processing framework that handles multiple estimation parameters (article state, work spot, worker pose, article position) through a single integrated system architecture. This multi-functional approach improves task estimation accuracy by considering all parameters simultaneously while avoiding the need for separate specialized systems for each parameter, thus managing device complexity efficiently.
Data Source
AI summary
According to one embodiment, a processing system estimates a pose of a worker, a position of an article, an orientation of the article, and a state of the article based on an image of the worker and the article. The processing system further estimates a work spot of the worker on the article based on an estimation result of the pose, an estimation result of the position, and an estimation result of the orientation. The processing system further estimates a task performed by the worker based on an estimation result of the work spot and an estimation result of the state.