SolVision
SolVision deployments where manufacturers catch surface flaws, missing components, misread characters and seal failures on PCBs, wafers, stamped metal, packaging, pharma, textiles. Rule based AOI fails when defects vary in shape and lighting; each entry shows the samples, AI tool and detection rate.
Product Deployments
Case Studies
AccuPick
SolVision
META-aivi
SolMotion
Metal Bolt Defect Detection Using AI
SolVision ensures a flawless 100% defect detection rate in just 49 milliseconds per bolt, addressing reflective surface challenges and eliminating false negatives.
Vegetable Classification Using AI
SolVision achieves 100% accuracy in artichoke inspection in 50 milliseconds, enhancing efficiency and classification in vegetable production with AI.
Blister Pack Inspection Using AI
SolVision transforms blister pack inspection, overcoming reflective material challenges to improve accuracy and efficiency in pharmaceutical production with AI.
Coin Classification Using AI
SolVision AI vision system excels at coin classification, accurately categorizing batches by denomination, regardless of oxidation or coin condition.
IC Tray Inspection Using AI
SolVision employs AI to enhance IC tray inspection, ensuring precise detection and elevating quality assurance standards in the semiconductor industry.
Glass Bottle Inspection Using AI
SolVision automates glass bottle inspection using advanced image processing, efficiently detecting production flaws on fragrance bottles with AI technology.
Packaging Seal Inspection Using AI
Based on deep learning technology, SolVision can determine whether a seal is intact by comparing a perfect packaging with potential variations.
ALPR and Shipping Container Number Recognition Using AI
SolVision's AI-powered OCR enables precise automatic license plate recognition (ALPR) and shipping container number recognition, enhancing cargo operations.
HDD Mounting Bracket Defect Detection Using AI
SolVision enhances HDD mounting bracket defect detection through advanced AI, ensuring higher standards in electronics manufacturing.
PCB Assembly Inspection Using AI
SolVision optimizes PCB assembly inspection with AI, enhancing accuracy, reducing errors, and boosting efficiency with our rapid learning AI vision system.
Yarn Inspection Using AI
SolVision's AI technology optimizes yarn inspection by accurately detecting various yarn defects quickly and efficiently, ensuring enhanced quality control.
IV Bag Classification Using AI
SolVision enables IV bag classification, streamlining sorting processes and ensuring greater accuracy. Explore our advanced AI-based inspection solution.
Socks Defect Detection Using AI
Solomon's SolVision AI quickly identifies socks defects with real-time defect detection, improving quality control and efficiency for textile manufacturers.
Injection Molded Rubber Inspection Using AI
SolVision enhances injection molded rubber inspection using AI for precise defect detection and improved quality control.
Gas Gauge Digitalization Using AI
SolVision enables gas gauge digitalization with AI and OCR, enhancing efficiency, accuracy, and response times in optoelectronics and gas monitoring processes.
Laser Welding Defect Detection Using AI
SolVision overcomes challenges in laser welding inspection with AI, enabling precise defect detection for improved laser welding quality control.
Detecting Short Circuits in SMT Soldering
SMT is a critical soldering process in the electronics industry. SolVision detects defects on PCBs which are known to have numerous small, complex components.
Plastic Buckle Clip Inspection Using AI
SolVision utilizes AI for precise inspection and defect detection in plastic buckle clips, enhancing quality control and production efficiency.
AI Inspection Solution for Semiconductor Wafers
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.
Inspecting Safety Certification Marks
Inspecting Safety Certification Marks. Solomon SolVision's AI automated detection of defective certification marks.
Visual Inspection of Semiconductor Trays
Solomon SolVision’s Feature Detection tool first learns the position of the tray, then performs OCR with more flexibility than AOI systems.
Visual Inspection of Semiconductor Carrier Trays
Automated defect detection with artificial intelligence. Visual Inspection of Semiconductor Carrier Trays.
AI Inspections for Multilayer Ceramic Capacitors (MLCC)
SolVision detects defective electrodes on passive electronic components to significantly improve overall production yield.
AI Inspection for Semiconductor Components
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.
Automating Quality Inspection of Lead Frames
As semiconductor manufacturing becomes more sophisticated, the process of creating lead frames needs to improve in accuracy and yield.
Detecting Adhesion Defects in Semiconductors
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.
Automating Semiconductor Wafer Inspections
Faulty wafers also usually have subtle defects randomly scattered on the surface, and this prevents AOI systems from setting rules for efficient inspections.
AI Inspection of Power Supply Unit Cables
AI model can accurately identify errors in cable connections and eliminate substandard products in real time.
Visual Inspection of Automotive Weld Beads
Powered by AI, SolVision deep learning software trains an AI model by simulating potential weld bead defects in random brightness conditions.
Yarn Inspection Using AI
SolVision's AI technology optimizes yarn inspection by accurately detecting various yarn defects quickly and efficiently, ensuring enhanced quality control.
Socks Defect Detection Using AI
Solomon's SolVision AI quickly identifies socks defects with real-time defect detection, improving quality control and efficiency for textile manufacturers.
Injection Molded Rubber Inspection Using AI
SolVision enhances injection molded rubber inspection using AI for precise defect detection and improved quality control.
Metal Casing Quality Inspection Using AI
SolVision AI vision system enhances quality control and metal casing inspection with greater accuracy and speed, preventing defective products.
Laser Welding Defect Detection Using AI
SolVision overcomes challenges in laser welding inspection with AI, enabling precise defect detection for improved laser welding quality control.
Product Packaging Inspection Using AI
AI-based defect detection enhances product packaging inspection, identifying printing defects and ensuring consistent quality control in packaging and labeling.
Detecting Short Circuits in SMT Soldering
SMT is a critical soldering process in the electronics industry. SolVision detects defects on PCBs which are known to have numerous small, complex components.
Plastic Buckle Clip Inspection Using AI
SolVision utilizes AI for precise inspection and defect detection in plastic buckle clips, enhancing quality control and production efficiency.
AI Inspection Solution for Semiconductor Wafers
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.
Inspecting Safety Certification Marks
Inspecting Safety Certification Marks. Solomon SolVision's AI automated detection of defective certification marks.
Visual Inspection of Semiconductor Carrier Trays
Automated defect detection with artificial intelligence. Visual Inspection of Semiconductor Carrier Trays.
AI Inspections for Multilayer Ceramic Capacitors (MLCC)
SolVision detects defective electrodes on passive electronic components to significantly improve overall production yield.
Automating Quality Inspection of Lead Frames
As semiconductor manufacturing becomes more sophisticated, the process of creating lead frames needs to improve in accuracy and yield.
Detecting Adhesion Defects in Semiconductors
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.
Automating Semiconductor Wafer Inspections
Faulty wafers also usually have subtle defects randomly scattered on the surface, and this prevents AOI systems from setting rules for efficient inspections.