Fastening Work Management Using Image Detection
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Solution Overview
Problem
Existing fastening work management systems require feature parts on the fastened member and rotation angle detectors on the fastening tool, making them cumbersome and prone to errors in determining correct fastening positions and orders.
Innovation Solution
A fastening work management system that includes a storage unit for fastening order information, an image acquisition unit for capturing inspection images, a detection unit to verify the presence of fastened members at defined positions, and a determination unit to assess the correctness of fastening, allowing for efficient and accurate management of fastening orders without the need for feature parts or rotation angle detectors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If feature parts are provided on the fastened member and rotation angle detectors on the fastening tool, then the fastening position and order can be determined, but the device complexity increases and the system becomes cumbersome
Solution Approach 1:
The patent extracts the detection function from the fastening tool and feature parts, replacing them with a simple camera-based image acquisition system. The camera captures images of the fastening process, and the system determines fastening position and order through image processing, eliminating the need for complex detectors and feature parts on the fastened member.
Solution Approach 2:
The patent replaces mechanical detection systems (rotation angle detectors, feature parts) with an optical system (camera). The camera captures visual information about the fastening process, and computational algorithms determine the fastening position and order, substituting mechanical measurement with optical detection and image processing.
2Reliability
If feature parts and rotation angle detectors are used, then fastening order can be managed, but the ease of operation decreases due to additional components
Solution Approach 1:
The system performs self-service by automatically capturing images during the fastening process and determining fastening position and order without requiring additional operators or complex manual procedures. The camera is activated by the fastening tool itself, and the system autonomously processes images to verify fastening compliance.
3Device complexity
If a camera is used to capture fastening process images, then fastening order can be verified without feature parts or rotation angle detectors, but the measurement precision may be insufficient
Solution Approach 1:
The system incorporates feedback mechanisms where the camera continuously captures images during the fastening process, and the system analyzes these images to verify fastening position and order in real-time. The feedback loop ensures that any deviations from the predefined fastening sequence are immediately detected and reported.
Solution Approach 2:
The patent uses image copying and processing to determine fastening position and order. Instead of direct mechanical measurement, the system creates visual copies of the fastening process through camera images and analyzes these copies to extract position and sequence information with high precision.
Data Source
AI summary
A fastening work management system according to the present disclosure manages a fastening work of fastening a fastened member in a predefined fastening order to a plurality of fastening positions of a target member by using a fastening tool that is grasped and operated by an operator. The fastening work management system includes an image acquisition unit configured to acquire an inspection image including a position defined as a current fastening position in the fastening order included in the fastening work management information when the fastening work of a predetermined fastened member is completed and a detection unit configured to detect whether or not the fastened member, which has been fastened, is present at the current fastening position included in the inspection image.