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Contact information, map and directions, contact form, opening hours, services, ratings, photos, videos and announcements from Solomon AI and 3D Vision, Software Company, No. 42, Xingzhong Road, Neihu District, Taipei.

Solomon excels in industrial automation and augmented intelligence, specializing in AI inspection, process optimization, and empowering frontline workers with AI-powered AR solutions.

09/09/2026

Surgical instrument preparation becomes more difficult when staff must count and distinguish multiple instruments with similar shapes and appearances.

Manual verification before and after surgery can be time-consuming, while instrument misidentification can introduce additional patient safety risks.

META-aivi uses AI vision + IP cameras to support surgical instrument verification:

✅ Count multiple instruments in real time
✅ Classify instruments on the surgical tray
✅ Add an automated verification step before and after surgery

Read the full case study:
https://solomonai.pse.is/9kaqd7

04/09/2026

Thank you to everyone who visited Solomon at SEMICON Taiwan 2026!

We were excited to showcase our latest semiconductor inspection and automation technologies, including full-wafer warpage detection, TGV inspection, and AI-powered equipment monitoring.

Thanks for joining us at the show!

02/09/2026

PCB inspection becomes more difficult when operators must identify missing or incorrectly placed components across densely populated circuit boards.

Reflective component surfaces and prolonged inspection under artificial lighting can contribute to eye strain and fatigue, making assembly errors harder to detect consistently.

META-aivi uses AI vision + RealWear AR glasses to support PCB assembly inspection:

✅ Verify component presence and placement
✅ Identify missing or incorrectly placed components during inspection
✅ Record inspection results for quality and process analysis

Read the full case study:
https://solomonai.pse.is/9hwpxt

26/08/2026

PCB assembly verification becomes more difficult when operators must install and connect multiple small components in the correct positions.

Instructional videos can show the correct procedure, but they cannot verify each step during assembly, allowing connection or placement errors to remain undetected until final inspection.

META-aivi uses AR + AI vision to support real-time PCB assembly guidance and verification:

✅ Step-by-step instructions based on defined SOPs
✅ Real-time verification of completed assembly steps
✅ Immediate OK/NG feedback for incorrect connector placement or connections

Read the full case study:
https://solomonai.pse.is/9gwhjt

19/08/2026

Warehouse inventory counting becomes more difficult as product quantities, SKU variety, and stored goods increase.

Manual counting can be time-consuming, while fatigue and distractions increase the risk of inventory errors.

META-aivi uses AI vision and augmented reality to support more efficient inventory counting:

✅ Product recognition based on shape and packaging
✅ Automated counting of recognized items
✅ Support for AR glasses, IP cameras, smartphones, and tablets

Read the full case study:
https://solomonai.psee.io/9fyhfn

13/08/2026

Traditional machine vision can struggle when objects are transparent, reflective, dark, variable, or difficult to inspect in fixed conditions.

At Automation Taipei 2026, Solomon will showcase how AI vision extends automation beyond those limits across robotics, inspection, measurement, and AR-assisted workflows.

Visit us at Booth M604 to explore applications including humanoid robotics, AMR + cobot inspection, difficult object picking, transparent object measurement, and cabling guidance with AR glasses.

A big thank you to our engineering team for bringing these applications together and continuing to push industrial vision beyond conventional constraints. 🙌

For more details on Solomon’s products and technology:
https://www.solomon-3d.com/products/

12/08/2026

PCB assembly errors are difficult to detect when component size, appearance, position, and board layouts vary.

Missing, misplaced, or incorrectly assembled components can be harder to identify across complex PCB designs during quality inspection.

SolVision uses AI vision to support consistent PCB inspection:

✅ Missing component detection
✅ Component placement and assembly error inspection
✅ Inspection across varied PCB layouts and component types

Read the full case study:
https://solomon3d.pse.is/9f2mdp

05/08/2026

Fabric defects are difficult to detect when colors, patterns, textures, and designs vary.

Holes, knots, and broken stitches can be harder to distinguish from normal fabric variation during quality inspection.

SolVision uses AI vision to support consistent fabric defect detection:

✅ Hole, knot, and broken stitch detection
✅ Inspection across different ribbon appearances
✅ Defect data capture for production traceability

Read the full case study:
https://solomon3d.pse.is/9e7je5

29/07/2026

Tablet defects are difficult to detect when their size, color, location, and severity vary.

Cracks, stains, faded color, incomplete imprints, and foreign objects make manual inspection slow and easy to get wrong.
SolVision uses AI vision to support consistent tablet quality inspection:

✅ Shape, size, and color verification
✅ Surface defect and stain detection
✅ Imprint, dirt, and foreign object inspection

Read the full case study:
https://solomon3d.pse.is/9cptuh

22/07/2026

Planogram compliance is hard to maintain when products look alike and shelves change often.

Large product ranges, label changes, and stock gaps make manual shelf checks slow and easy to get wrong.

META-aivi uses AR + AI to reduce human error during the key checks needed for accurate shelf audits:

✅ Product and placement verification
✅ Shelf label matching
✅ Stock gap detection for restocking

Read the full case study:
https://solomon3d.pse.is/9cdrvt

Address

No. 42, Xingzhong Road, Neihu District
Taipei
114

Website

http://www.solomon-3d.com/

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