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	<title>Semiconductors &#8211; SOLOMON 3D</title>
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	<title>Semiconductors &#8211; SOLOMON 3D</title>
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		<title>CMP Quality Inspection Using AI</title>
		<link>https://solomon-3d.mesvr.tw/case-studies/solvision/cmp-quality-inspection-ai/</link>
		
		<dc:creator><![CDATA[Richard]]></dc:creator>
		<pubDate>Fri, 10 Apr 2026 08:23:51 +0000</pubDate>
				<category><![CDATA[SolVision]]></category>
		<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[Defect Detection]]></category>
		<category><![CDATA[Quality Inspection]]></category>
		<category><![CDATA[Semiconductors]]></category>
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					<description><![CDATA[SolVision AI-based CMP quality inspection detects wafer scratches and contamination, overcoming limitations of rule-based AOI in semiconductor inspection.]]></description>
		
		
		
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		<title>BGA Soldering Inspection Using AI</title>
		<link>https://solomon-3d.mesvr.tw/case-studies/solvision/bga-soldering-inspection-ai/</link>
		
		<dc:creator><![CDATA[Richard]]></dc:creator>
		<pubDate>Wed, 07 Jan 2026 08:16:09 +0000</pubDate>
				<category><![CDATA[SolVision]]></category>
		<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[Classification]]></category>
		<category><![CDATA[Defect Detection]]></category>
		<category><![CDATA[Electronics]]></category>
		<category><![CDATA[Quality Inspection]]></category>
		<category><![CDATA[Semiconductors]]></category>
		<category><![CDATA[Case Studies - Featured Projects]]></category>
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					<description><![CDATA[SolVision AI detects BGA soldering defects, improving inspection consistency, accuracy, and inline quality control in PCB and semiconductor production.]]></description>
		
		
		
			</item>
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		<title>Verifying Plastic Parts for Recycling Using AI</title>
		<link>https://solomon-3d.mesvr.tw/case-studies/meta-aivi/verifying-plastic-parts-for-recycling-using-ai/</link>
		
		<dc:creator><![CDATA[Richard]]></dc:creator>
		<pubDate>Sat, 20 Apr 2024 02:07:58 +0000</pubDate>
				<category><![CDATA[META-aivi]]></category>
		<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[Classification]]></category>
		<category><![CDATA[Electronics]]></category>
		<category><![CDATA[Petrochemicals & Plastics & Rubber]]></category>
		<category><![CDATA[Semiconductors]]></category>
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					<description><![CDATA[Explore how META-aivi optimizes waste management with AI, reducing errors and avoiding contamination while enhancing the efficiency of plastic parts recycling.]]></description>
		
		
		
			</item>
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		<title>Intelligent Remote Facility Management</title>
		<link>https://solomon-3d.mesvr.tw/case-studies/meta-aivi/intelligent-remote-facility-management/</link>
		
		<dc:creator><![CDATA[Lily]]></dc:creator>
		<pubDate>Fri, 07 Apr 2023 08:47:22 +0000</pubDate>
				<category><![CDATA[META-aivi]]></category>
		<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[OCR & Character Recognition]]></category>
		<category><![CDATA[Remote Monitoring]]></category>
		<category><![CDATA[Semiconductors]]></category>
		<guid isPermaLink="false">https://solomon-3d.mesvr.tw/?p=49070</guid>

					<description><![CDATA[Machine vision is utilized to perform Optical Character Recognition (OCR). This information is sent to the cloud to create an inspection report, allowing plant operators to easily monitor facility inspection through mobile devices.]]></description>
		
		
		
			</item>
		<item>
		<title>IC Tray Inspection Using AI</title>
		<link>https://solomon-3d.mesvr.tw/case-studies/solvision/ai-inspection-of-semiconductor-carrier-trays/</link>
		
		<dc:creator><![CDATA[solomonadmin]]></dc:creator>
		<pubDate>Wed, 14 Jul 2021 17:30:48 +0000</pubDate>
				<category><![CDATA[SolVision]]></category>
		<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[Presence/Absence Detection]]></category>
		<category><![CDATA[Quality Inspection]]></category>
		<category><![CDATA[Semiconductors]]></category>
		<category><![CDATA[Case Studies - Featured Projects]]></category>
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					<description><![CDATA[SolVision employs AI to enhance IC tray inspection, ensuring precise detection and elevating quality assurance standards in the semiconductor industry.]]></description>
		
		
		
			</item>
		<item>
		<title>AI Inspection Solution for Semiconductor Wafers</title>
		<link>https://solomon-3d.mesvr.tw/case-studies/solvision/ai-inspection-solution-for-semiconductor-wafers-2/</link>
		
		<dc:creator><![CDATA[solomon3d]]></dc:creator>
		<pubDate>Fri, 28 May 2021 08:52:00 +0000</pubDate>
				<category><![CDATA[SolVision]]></category>
		<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[Defect Detection]]></category>
		<category><![CDATA[Quality Inspection]]></category>
		<category><![CDATA[Semiconductors]]></category>
		<guid isPermaLink="false">https://solomon-3d.mesvr.tw/?p=88792</guid>

					<description><![CDATA[Using SolVision’s AI Inspection Solution, minute defects such as fine scratches can be located and marked on sample images to train the AI model.]]></description>
		
		
		
			</item>
		<item>
		<title>Visual Inspection of Semiconductor Trays</title>
		<link>https://solomon-3d.mesvr.tw/case-studies/solvision/visual-inspection-of-semiconductor-trays/</link>
		
		<dc:creator><![CDATA[solomonadmin]]></dc:creator>
		<pubDate>Wed, 26 May 2021 12:44:00 +0000</pubDate>
				<category><![CDATA[SolVision]]></category>
		<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[OCR & Character Recognition]]></category>
		<category><![CDATA[Semiconductors]]></category>
		<guid isPermaLink="false">http://10.1.1.67/visual-inspection-of-semiconductor-trays/</guid>

					<description><![CDATA[Solomon SolVision’s Feature Detection tool first learns the position of the tray, then performs OCR with more flexibility than AOI systems.]]></description>
		
		
		
			</item>
		<item>
		<title>Visual Inspection of Semiconductor Carrier Trays</title>
		<link>https://solomon-3d.mesvr.tw/case-studies/solvision/visual-inspection-of-semiconductor-carrier-trays/</link>
		
		<dc:creator><![CDATA[solomonadmin]]></dc:creator>
		<pubDate>Mon, 24 May 2021 17:38:00 +0000</pubDate>
				<category><![CDATA[SolVision]]></category>
		<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[Defect Detection]]></category>
		<category><![CDATA[Semiconductors]]></category>
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					<description><![CDATA[Automated defect detection with artificial intelligence. Visual Inspection of Semiconductor Carrier Trays.]]></description>
		
		
		
			</item>
		<item>
		<title>AI Inspection for Semiconductor Components</title>
		<link>https://solomon-3d.mesvr.tw/case-studies/solvision/ai-inspection-for-electronic-components/</link>
		
		<dc:creator><![CDATA[solomonadmin]]></dc:creator>
		<pubDate>Fri, 21 May 2021 16:02:00 +0000</pubDate>
				<category><![CDATA[SolVision]]></category>
		<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[Classification]]></category>
		<category><![CDATA[Electronics]]></category>
		<category><![CDATA[OCR & Character Recognition]]></category>
		<category><![CDATA[Semiconductors]]></category>
		<guid isPermaLink="false">http://10.1.1.67/ai-inspection-for-electronic-components/</guid>

					<description><![CDATA[Overcoming traditional AOI limitations, Solomon’s SolVision quickly performs OCR without being affected by background or lighting conditions, complexity, or appearance of the serial number.]]></description>
		
		
		
			</item>
		<item>
		<title>Automating Quality Inspection of Lead Frames</title>
		<link>https://solomon-3d.mesvr.tw/case-studies/solvision/automating-quality-inspection-of-lead-frames/</link>
		
		<dc:creator><![CDATA[solomonadmin]]></dc:creator>
		<pubDate>Thu, 20 May 2021 12:31:00 +0000</pubDate>
				<category><![CDATA[SolVision]]></category>
		<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[Defect Detection]]></category>
		<category><![CDATA[Semiconductors]]></category>
		<guid isPermaLink="false">http://10.1.1.67/automating-quality-inspection-of-lead-frames/</guid>

					<description><![CDATA[As semiconductor manufacturing becomes more sophisticated, the process of creating lead frames needs to improve in accuracy and yield.]]></description>
		
		
		
			</item>
		<item>
		<title>Detecting Adhesion Defects in Semiconductors</title>
		<link>https://solomon-3d.mesvr.tw/case-studies/solvision/detecting-adhesion-defects-in-semiconductors/</link>
		
		<dc:creator><![CDATA[solomonadmin]]></dc:creator>
		<pubDate>Wed, 19 May 2021 10:37:00 +0000</pubDate>
				<category><![CDATA[SolVision]]></category>
		<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[Defect Detection]]></category>
		<category><![CDATA[Semiconductors]]></category>
		<guid isPermaLink="false">http://10.1.1.67/detecting-adhesion-defects-in-semiconductors/</guid>

					<description><![CDATA[Excessive adhesive may remain on the chip or overflow on the circuit board and cause the chip to tilt, affecting stability of the whole semiconductor package.]]></description>
		
		
		
			</item>
		<item>
		<title>Automating Semiconductor Wafer Inspections</title>
		<link>https://solomon-3d.mesvr.tw/case-studies/solvision/automating-semiconductor-wafer-inspections/</link>
		
		<dc:creator><![CDATA[solomonadmin]]></dc:creator>
		<pubDate>Tue, 18 May 2021 12:16:00 +0000</pubDate>
				<category><![CDATA[SolVision]]></category>
		<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[Classification]]></category>
		<category><![CDATA[Defect Detection]]></category>
		<category><![CDATA[Semiconductors]]></category>
		<guid isPermaLink="false">http://10.1.1.67/automating-semiconductor-wafer-inspections/</guid>

					<description><![CDATA[Faulty wafers also usually have subtle defects randomly scattered on the surface, and this prevents AOI systems from setting rules for efficient inspections.]]></description>
		
		
		
			</item>
		<item>
		<title>Inspecting Semiconductor Packaging Processes</title>
		<link>https://solomon-3d.mesvr.tw/case-studies/solvision/visual-inspection-for-semiconductor-packaging-processes/</link>
		
		<dc:creator><![CDATA[solomonadmin]]></dc:creator>
		<pubDate>Fri, 14 May 2021 17:27:00 +0000</pubDate>
				<category><![CDATA[SolVision]]></category>
		<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[Defect Detection]]></category>
		<category><![CDATA[Semiconductors]]></category>
		<guid isPermaLink="false">http://10.1.1.67/visual-inspection-for-semiconductor-packaging-processes/</guid>

					<description><![CDATA[SolVision enables visual inspection through AI image analysis, strengthening the reliability of displacement and angle information to recognize defective products and errors in the die bonding process.]]></description>
		
		
		
			</item>
		<item>
		<title>Quality Control of Wafer Dicing</title>
		<link>https://solomon-3d.mesvr.tw/case-studies/solvision/quality-control-of-wafer-dicing/</link>
		
		<dc:creator><![CDATA[solomonadmin]]></dc:creator>
		<pubDate>Wed, 05 May 2021 15:24:00 +0000</pubDate>
				<category><![CDATA[SolVision]]></category>
		<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[Defect Detection]]></category>
		<category><![CDATA[Quality Inspection]]></category>
		<category><![CDATA[Semiconductors]]></category>
		<guid isPermaLink="false">http://10.1.1.67/quality-control-of-wafer-dicing/</guid>

					<description><![CDATA[Using SolVision’s Instance Segmentation tool, irregular lines and multi-drilling defects are labeled in sample images to train the AI model.]]></description>
		
		
		
			</item>
		<item>
		<title>Detecting Chipping Defects in Wafer Dicing</title>
		<link>https://solomon-3d.mesvr.tw/case-studies/solvision/detecting-chipping-defects-in-wafer-dicing/</link>
		
		<dc:creator><![CDATA[solomonadmin]]></dc:creator>
		<pubDate>Tue, 04 May 2021 15:52:00 +0000</pubDate>
				<category><![CDATA[SolVision]]></category>
		<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[Defect Detection]]></category>
		<category><![CDATA[Quality Inspection]]></category>
		<category><![CDATA[Semiconductors]]></category>
		<guid isPermaLink="false">http://10.1.1.67/detecting-chipping-defects-in-wafer-dicing/</guid>

					<description><![CDATA[The location, size and shape of cracks vary each time, and traditional optical inspection cannot accurately identify such unpredictable defects.]]></description>
		
		
		
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