Solomon AI and 3D Vision (@Solomon_3D) header
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Innovators in industrial AI, automation, and robotics. View our latest AI and 3D vision solutions: https://teapaw.org/t.co/b3DVfVgj2E

Taipei (HQ)
Joined March 2019
Photo by Solomon AI and 3D Vision (@Solomon_3D)Photo by Solomon AI and 3D Vision (@Solomon_3D)Photo by Solomon AI and 3D Vision (@Solomon_3D)Photo by Solomon AI and 3D Vision (@Solomon_3D)Photo by Solomon AI and 3D Vision (@Solomon_3D)Photo by Solomon AI and 3D Vision (@Solomon_3D)Photo by Solomon AI and 3D Vision (@Solomon_3D)Photo by Solomon AI and 3D Vision (@Solomon_3D)Photo by Solomon AI and 3D Vision (@Solomon_3D)Photo by Solomon AI and 3D Vision (@Solomon_3D)
Solomon today announced the integration of @nvidia NemoClaw architecture to coordinate multiple AI agents on humanoid robots. Read the full press release: solomon3d.pse.is/95kbvp #Solomon #IndustrialAI #PhysicalAI #HumanoidRobots
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Manual gauge readings and data entry increase inspection time and the risk of errors. #METAaivi uses AI vision to: ✅ Read analog gauges and digital meters ✅ Automate data recording ✅ Cut inspection time by 70% Read more: solomonai.psee.io/9rmyj4 #Solomon #IndustrialAI
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Variance in appearance & position make consistent defect detection of processed foods difficult. #SolVision uses AI vision to: ✅ Detect food defects ✅ Flag product variation ✅ Automate inspection Read more: solomonai.pse.is/9q72hp #Solomon #IndustrialAI #QualityInspection
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Foreign objects vary in size & type making manual food inspection difficult. #METAaivi uses AI +AR to ✅ Detect foreign objects ✅ Analyze input from AR glasses & IP cameras ✅ Support real-time inspection during production Read the full case study: solomonai.pse.is/9p7r9k
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Plastic parts shift between picking cycles, making fixed pick points unstable. #AccuPick uses AI vision to: ✅ Update part positions each cycle ✅ Create better picking points ✅ Transfer parts for downstream threading Read more: solomonai.pse.is/9mwqrz #Solomon #IndustrialAI
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Glass bottle defects can vary, making fixed inspection rules difficult to apply. #SolVision uses AI to: ✅ Detect irregular surface defects ✅ Segment defective regions ✅ Evaluate location, angle & size Read more: solomonai.pse.is/9lu22b #IndustrialAI #DefectDetection
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Product label checks get hard when defects leave characters partially readable. #SolVision uses OCR + defect detection to: ✅ Read text & serial numbers ✅ Flag irregular characters ✅ Detect damage when OCR is unreliable Read the study: solomonai.pse.is/9lcyxl #IndustrialAI
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Surgical instrument checks are risky when similar shapes make manual counting & identification hard. #METAaivi uses AI vision to: ✅ Count instruments ✅ Classify tray contents ✅ Verify presence before & after surgery Read the study: solomonai.pse.is/9kaqdr #IndustrialAI
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Thanks to everyone who visited Solomon at #SEMICONTaiwan2026! We are proud to have showcased full-wafer warpage detection, TGV inspection, and AI-powered equipment monitoring for semiconductor manufacturing. #Solomon #Semiconductor #MachineVision #IndustrialAI
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Reflective components and operator fatigue make PCB inspection more difficult. #METAaivi uses AI vision + AR glasses to: ✅ Verify component presence & placement ✅ Flag assembly errors ✅ Record inspection data Read the study: solomonai.pse.is/9hwpxv #Solomon #IndustrialAI
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Small PCB connectors make assembly errors hard to catch before final inspection. #METAaivi uses AR + AI vision to: ✅ Guide operators through SOPs ✅ Verify assembly steps in real time ✅ Give immediate OK/NG feedback Read study: solomonai.pse.is/9gwhjy #Solomon #IndustrialAI
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Product volume & variety make manual inventory counting slow & error prone. #METAaivi uses AI vision to: ✅ Recognize product shape & packaging ✅ Automatically count inventory ✅ Support multiple device types Read the study: solomonai.psee.io/9fyhfs #Solomon #IndustrialAI
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See how AI vision is overcoming the limits of traditional machine vision at #AutomationTaipei2026 — from robotics and inspection to difficult object handling and AR guidance. 📍 Booth M604, Nangang Exhibition Center, Hall 1, 4F 📅 Aug. 19–22 #Solomon #IndustrialAI #Robotics
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PCB assembly errors are difficult to detect with complex layouts & varied components. #SolVision uses AI vision to identify: ✅ Missing components ✅ Placement & assembly errors ✅ Anamolies against a golden sample Read study: solomon3d.pse.is/9f2mdv #Solomon #IndustrialAI
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Fabric defects are hard to distinguish from normal variation. #SolVision uses AI vision to detect: ✅ Holes, knots, & broken stitches ✅ Defects across varied designs ✅ Inspection data for traceability Read the full case study: solomon3d.pse.is/9e7jed #Solomon #IndustrialAI
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Tablet defects vary in size, color, & severity, making manual checks inconsistent. #SolVision uses AI to detect: ✅ Shape & color variation ✅ Cracks, stains, & surface defects ✅ Imprint errors & foreign objects Read more: solomon3d.pse.is/9cptxy #Solomon #IndustrialAI
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Planogram checks get harder when products look alike and shelves change often. META-aivi uses AR + AI to reduce errors in: ✅ Product placement ✅ Shelf label matching ✅ Stock gap detection Read the case study: solomon3d.pse.is/9cdryb #Solomon #IndustrialAI #METAaivi
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Inspecting returnable glass bottles isn't just about finding contamination. Stains and residue are difficult to detect consistently without AI visual inspection. Learn more: solomon3d.pse.is/9cd4pw #Solomon #IndustrialAI
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If you stopped by our booth this week at #Automate2026 you probably noticed our #humanoidrobot demos taking center stage. But the real magic isn't the hardware—it's the AI "brain" driving the action. Visit booth #3276 to see the intelligence behind the movement. #AI #Robotics
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