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
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.
Product Label Inspection Using AI
Using OCR with AI deep learning, SolVision reads and detects various text and number defects on printed labels, enhancing electronics product label inspection.
Injection Molded Rubber Inspection Using AI
SolVision enhances injection molded rubber inspection using AI for precise defect detection and improved quality control.
Processed Food Inspection Using AI
SolVision revolutionizes processed food inspection, enhancing production efficiency, hygiene and quality assurance in food production with AI vision precision.
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.
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.
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.
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.
Inspecting Semiconductor Packaging Processes
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.
AI Inspection of Stamped Metal Parts
There are many types of defects that may appear differently each time on the stamped parts, in particular oil or water stains, which are not easily detected.
Automated Visual Inspection for LEDs
Streamlined LED visual inspection with AI SolVision features an Instance Segmentation tool designed to identify various mini LED defects through image processing.
Quality Inspection of Golf Clubs
With AI-based SolVision, production imperfections on club heads can be detected no matter their size, appearance, or location.
Visual Inspection of Stainless Steel Tubes
SolVision’s superior recognition capabilities ensures that OCR of bicycles can be accurately carried out regardless of how the identification numbers look or light refraction levels.
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.
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.
Inspecting Semiconductor Packaging Processes
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.
AI Inspection of Stamped Metal Parts
There are many types of defects that may appear differently each time on the stamped parts, in particular oil or water stains, which are not easily detected.
Automated Visual Inspection for LEDs
Streamlined LED visual inspection with AI SolVision features an Instance Segmentation tool designed to identify various mini LED defects through image processing.
Quality Inspection of Golf Clubs
With AI-based SolVision, production imperfections on club heads can be detected no matter their size, appearance, or location.