Manufacturing Task End Detection Using Images and Tool Signals
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Solution Overview
Problem
Existing technologies face challenges in automatically analyzing manufacturing tasks, particularly for indented products with unique sequences and large sizes, where accurate task end determination is difficult due to varying product designs and flexible task locations, leading to increased personnel costs and reduced efficiency.
Innovation Solution
An analysis device that receives images and detection signals from imaging devices and tools to determine task starts and ends using pre-registered end determination data, enabling automatic task analysis and reducing the need for manual checks by utilizing imaging and signal data to accurately assess task completion regardless of product variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual task analysis is used to ensure accurate task end determination, then measurement precision is improved, but productivity deteriorates due to increased personnel costs and time consumption
Solution Approach 1:
The patent replaces manual mechanical analysis with an automated image processing system that uses computer vision algorithms to detect task end points. The system captures images, processes them through automated algorithms, and determines task completion without human intervention, thereby maintaining measurement precision while dramatically improving productivity.
Solution Approach 2:
The system enables self-service by allowing the manufacturing process to automatically monitor and analyze its own task progression through integrated imaging and automated detection algorithms. The task analysis system serves itself by autonomously identifying task end points without requiring external manual analysis.
2Productivity
If automated task analysis is implemented to improve productivity, then manufacturing precision deteriorates due to difficulty in accurately determining task ends for indented products
Solution Approach 1:
The system employs dynamic image processing that adapts to varying product geometries and task locations. The automated detection algorithms dynamically adjust to different indented product shapes and sizes, maintaining manufacturing precision across diverse product variations while preserving high productivity through automation.
Solution Approach 2:
The system changes detection parameters based on product characteristics and task types. By dynamically adjusting image processing parameters, threshold values, and detection criteria according to the specific product and task being analyzed, the system maintains high manufacturing precision across different product variations while keeping productivity high through automated processing.
3Measurement precision
If multiple imaging devices are deployed to cover flexible task locations, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent implements a universal imaging system where a single imaging device performs multiple functions by capturing images from various angles and processing them through versatile algorithms. The system can analyze different task locations, product types, and operation types using the same hardware platform, thereby achieving comprehensive task coverage without increasing device complexity.
Solution Approach 2:
The system compensates for limited physical viewing angles by utilizing the digital dimension - processing images through multiple virtual perspectives and computational methods. By applying image processing algorithms that simulate multiple viewing angles and depths, the system achieves comprehensive task location coverage without physically deploying multiple imaging devices.
Data Source
AI summary
According to one embodiment, an analysis device performs an analysis related to a plurality of tasks of a manufacturing process. The analysis device receives an image when each of the plurality of tasks is performed. The analysis device receives the images from an imaging device acquiring the images. The analysis device receives a detection signal from a tool used in at least one of the plurality of tasks. The detection signal is detected by the tool. The analysis device refers to end determination data for determining an end of each of the plurality of tasks. The analysis device determines the end of each of the plurality of tasks based on the images, the detection signal, and the end determination data.