Vision with Intelligence
SOLOMON
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Built around AI vision: visual inspection, 3D sensing and robotics, AR guidance, and AMR simulation and control for scalable automation.
Robotic Industrial Automation
AccuPick 3D Bin Picking
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META-aivi
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SOLUTIONS
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Real deployments, real results. See how manufacturers worldwide put Solomon's AI vision and robotics to work on their toughest automation challenges.
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AR + AI Vision
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Vision & Robotics
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Vision Inspection
Automating CNC Machine Tending with 3D Robotic Bin Picking
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By Application
Start from the task, and the technology follows. Every application here maps a real production problem to a proven AI vision or robotics solution.
AUTOMATE WITH AI
— Start with the task you need to solve
AI Inspection
Assembly Verification
Classification
Counting & Verification
Defect Detection
Gauge & Meter Reading
OCR & Character Recognition
Presence/Absence Detection
Quality Inspection
Remote Monitoring
Safety Inspection
SOP Compliance
AI Robotics
Vision Guided Robotics
Racking & Deracking
Precision Pick & Place
Palletizing & Depalletizing
Machine Tending
Kitting
Grinding
Bin Picking
3D Matching
SOLUTIONS
By Industry
Every industry inspects differently. Different standards, different tolerances, different lines. Explore AI vision and robotics solutions deployed and proven in environments like yours.
AI ACROSS SECTORS
— Built for distinct challenges, standards, and market demands
Industrial
Automotive
Electronics
Manufacturing
Metal Processing
Optoelectronics
Petrochemicals & Plastics & Rubber
Semiconductors
Textiles and Footwear
Infrastructure & Energy
Aerospace and Defense
Aviation
Construction
Energy and Renewables
Logistics
Public Utilities
Consumer & Healthcare
Cosmetics
Food and Beverage
Luxury Goods
Retail
Pharmaceuticals & Medical
Hospitality & Recreation & Entertainment
SOLOMON
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Solomon’s global offices, engineers, and partners support projects from feasibility studies and proof of concept to deployment.
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From electronic components in 1973 to automation, energy, and AI-driven 3D machine vision solutions.
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Robotic Bin Picking with 3D Vision for Automated Pick and Place
Machine Vision in Industry enables automated systems to see, judge, and act. Using cameras, optics, controlled lighting, and AI-powered software, it analyzes visual data in real time to detect defects, measure dimensions, read codes, and guide robots. Yet each sector presents different objects, defects, operating conditions, and cycle times. The industries are therefore grouped into Industrial, Infrastructure & Energy, and Consumer & Healthcare, with each page bringing together field-proven applications and deployments that match your operational challenges.
Industrial
Industrial machine vision for the factories where rules run out: defects that vary by lot, markings that reflect or blur, parts that never sit still. These deployments show inspection and robotic handling trained from sample images instead of thresholds retuned at every changeover.
Electronics machine vision finds fine defects and verifies PCB and component assembly. Coverage includes BGA soldering, MLCC surfaces, cable insulation, laptop builds, package contents, connector classification and equipment checks, targeting low-contrast errors that lead to manual reinspection.
Semiconductor AI inspection for defects that sit at the edge of visibility, low in contrast and easily mistaken for polishing traces or normal surface texture. These deployments show fabs and packaging lines catching what AOI overkills or misses, from CMP scratches to dicing chips.
Automotive machine vision tracks parts through handling, assembly and inspection. Workflows span random-bin picking, gear loading and body-panel sealing, tire DOT and engine serial reading, paint and part defect detection, car-door verification and injection-molding monitoring.
Plastics and rubber inspection where molded parts vary shot to shot and flexible material never presents the same way twice. These deployments show defect checks that absorb that variation, and robots picking compounds and molded parts that fixed automation could not grip.
Textile fabric inspection where the product's own colors, patterns and textures camouflage the flaws, and AOI flags normal weave as defects. These deployments show holes, knots and broken stitches caught across changing designs without retuning for every article.
Infrastructure & Energy
Infrastructure asset inspection where the assets are spread across sites and the record still lives on paper. These deployments show drones, cameras and AR devices running checks against the written standard, from turbine blades to loading bays, and logging every result as it happens.
Public Utilities asset inspection at pumping stations, where AI reads analog gauge levels and panel indicator lights continuously and flags anything outside safe range. Electrical wiring checks run against procedure with AR guidance, so field records are captured as the work happens.
Logistics AI vision for the yard and warehouse steps that still depend on eyes and clipboards: gate records typed from container numbers, stock counted by walking the racks. These deployments show reading, counting and picking run from cameras, with each result logged as it happens.
Renewable energy inspection using AI equipped drones that check blade to motor gasket condition across a wind farm and log findings with GPS coordinates. AR guided checks verify energy storage setup and electrical wiring against procedure, creating a digital inspection record.
Airport apron monitoring times each stage of aircraft turnaround from existing IP camera feeds, replacing manual stopwatch records for bridge connection, cargo loading, catering and disembarkation. Results feed straight into the apron management system for live intervention.
Consumer & Healthcare
Consumer goods inspection where natural variation is the norm and reflective packaging defeats fixed thresholds. These deployments show graders, pharmacies and bottlers holding one standard across products that never look identical twice, from eggs to fragrance glassware.
Retail shelf and checkout vision audits planograms from shelf images, verifying product placement, shelf labels and stock gaps without manual walkthroughs. At the till, item recognition speeds self checkout, and the same counting models keep stock records current across the store.
Pharmaceutical AI inspection where a missed particle or filling error reaches a patient, and reflective blister film blinds conventional cameras. These deployments show sterile products checked at line speed against defects that vary too much for rules, with every result on record.
Cosmetics bottle inspection for fragrance glassware, finding production flaws on transparent, curved and highly reflective surfaces that manual spot checks routinely miss. Image based learning replaces the lighting and threshold tuning each new bottle shape would otherwise need.
Fragile goods robotic picking for luxury order fulfillment, where items are delicate, high value and arrive in mixed presentations. Vision guided grasping selects and places each piece without the breakage risk that keeps this kind of picking manual in most distribution centres.