Position Detection System Using Learned Model Feedback
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Solution Overview
Problem
Existing position detection systems often incorrectly detect pointing elements, leading to unnecessary processes when no operation is being performed, causing discomfort to operators and lacking measures to address false detections.
Innovation Solution
A position detection system that includes an imaging apparatus, a pointing element detector using a learned model to detect the pointing element's position, an image detector to identify images without the pointing element, and a learner that generates learning data to relearn the model based on these images, reducing false detection by adjusting the projection image accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If a learned model is used to detect the pointing element position, then detection speed is improved, but false detection occurs leading to incorrect processes
Solution Approach 1:
The system implements feedback by detecting images without pointing elements, generating learning data from these negative examples, and relearning the model to incorporate this feedback. This closed-loop feedback mechanism allows the model to learn from false detection cases and improve its accuracy while maintaining fast detection speeds.
Solution Approach 2:
The system performs preliminary action by proactively detecting images that do not contain pointing elements and using them to generate learning data before false detections occur in operation. This preventive approach allows the model to be retrained in advance with corrected examples, reducing the likelihood of future false detections.
2Measurement precision
If the detection model is retrained frequently to improve accuracy, then detection precision is improved, but processing time increases
Solution Approach 1:
The system employs self-service by automatically detecting images without pointing elements, generating learning data from these detections, and triggering model relearning without human intervention. This automated self-improvement mechanism allows the system to maintain high detection precision while minimizing the time loss associated with manual model retraining.
Data Source
AI summary
A position detection system includes a position detection apparatus and a server. The position detection apparatus includes an imaging apparatus that captures an image of an operation surface, a processor that detects a pointed position at which a pointing element is pointing on the operation surface by using a learned model based on captured images captured by the imaging apparatus, and a first communication apparatus that transmits the captured images to the server apparatus. The server apparatus includes at least one processor that detects a first image that does not contain an image of the pointing element out of the captured images, generates learning data containing the first image, and relearns the learned model by using the learning data.