Line Clearance Imaging for Contaminant Detection in Confined Machinery
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Solution Overview
Problem
Current line clearance methods in manufacturing are time-consuming, error-prone, and physically demanding, as they rely on manual inspection with flashlights to detect and remove contaminants from complex and semi-autonomous machinery, increasing the risk of contamination and reducing efficiency with smaller batch runs.
Innovation Solution
A line clearance system utilizing IoT cameras with integrated lighting and a proprietary cable for power and data, coupled with advanced image processing algorithms, including Pixel Difference, SSIM, and SIFT, to automate the detection and analysis of contaminants, providing a risk-weighted output and ensuring line cleanliness before production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection with flashlights is used to detect contaminants, then the detection capability in dark areas is improved, but the time consumption and labor intensity increase significantly
Solution Approach 1:
The patent replaces the manual mechanical inspection system (flashlights and human eyes) with an automated optical inspection system consisting of cameras, LEDs, and image processing algorithms. The cameras capture images of the production line areas, the LEDs provide illumination, and the processor automatically analyzes the images to detect contaminants, thereby eliminating the need for manual inspection while maintaining or improving detection precision.
Solution Approach 2:
The system enables self-inspection of the production line by the automated imaging and processing system. The cameras independently capture images, the processor automatically analyzes them for contaminants, and the system generates clearance determinations without requiring human operators to physically inspect each area, thus reducing labor intensity and time consumption.
2Measurement precision
If manual inspection is performed in hard-to-access areas of complex machinery, then the detection of rogue components is improved, but the safety risk and physical difficulty increase
Solution Approach 1:
The patent replaces manual physical inspection in hard-to-access areas with automated cameras positioned to capture images of these areas. The cameras can be mounted in locations that are safe for operators, eliminating the need for inspectors to enter dangerous or confined spaces within complex machinery while maintaining the ability to detect rogue components.
Solution Approach 2:
The camera system acts as an intermediary between the inspector and the hard-to-access areas. Instead of the inspector directly viewing and inspecting dangerous areas, the camera captures images that are then transmitted to a safe location for analysis, serving as a mediator that eliminates direct exposure to hazards while enabling inspection of problematic areas.
3Adaptability or versatility
If smaller batch runs are implemented for different markets, then the market adaptability and customer service are improved, but the frequency of line clearance increases and productivity decreases
Solution Approach 1:
The automated inspection system rapidly captures and analyzes images of the production line, determining clearance status in a fraction of the time required for manual inspection. This rapid assessment capability allows the system to handle the increased frequency of line clearances associated with smaller batch runs without significantly impacting overall productivity, as the automated system can quickly verify clearance and enable production resumption.
Solution Approach 2:
The automated system enables continuous monitoring and rapid assessment of line clearance status. By eliminating the time-consuming manual inspection process, the system maintains production continuity more effectively, allowing quicker transition between batch runs and minimizing downtime associated with line clearance verification.
Data Source
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Figure 3(a)~3(c)
AI summary
A line clearance system has cameras (4, 11) and distributed processors (10) for image processing to generate an output for line clearance. The system may control activation of manufacturing equipment according to line clearance outputs. The cameras are connected in at least one cluster (5) linked to a switch (3), in turn linked with a server having the digital data processors. The splitter is also linked to a strobe controller (53) for control of strobe lighting in synchronisation with camera image capture. The cameras have a ring of LEDs (12) recessed proximally from a lens cover (16) a the distal-most end, thereby preventing glare into the camera arising from high- intensity illumination which is required for many confined and inaccessible spaces in a production line. There is comprehensive processing of live and reference images with generation of histograms, warping, medial blurring, masking, difference detection, contour finding and generation of a result according to the contour processing (501 to 553).