Machine Vision System for Automated Defect Detection for industry 4.0

Intelgic’s Machine Vision solution is specifically designed to automate visual inspection processes in the manufacturing and supply chain industry. Our cutting-edge defect detection system combines advanced imaging technology with AI to identify defects such as scratches, splits, cracks, stains, dirt, nicks, color inconsistencies, and other defects that are often missed by the human eye.

Defect Detection System for every Industry

Automotive Parts

Our machine vision system is tailored to the rigorous demands of the automotive industry. We inspect various components to ensure the highest quality standards

Defects Detected: Scratches, cracks, splits, dents, warping, material inconsistencies, missing parts, improper assembly.
Materials Inspected: Metal parts, plastic components, rubber seals, glass elements, painted surfaces.

Metal Surface Inspection

Ensuring the integrity and finish of metal surfaces is crucial in many manufacturing processes. Our system excels in identifying imperfections in metal products.

Defects Detected: Scratches, corrosion, pits, cracks, patches, discoloration, surface contamination.
Materials Inspected: Steel, aluminum, copper, and other metal surfaces.

Medical Packaging

Quality control in medical packaging is vital to maintain product safety and efficacy. Our system provides precise inspection for various types of packaging materials.

Defects Detected: Tears, punctures, improper sealing, discoloration, material contamination, wrinkles.
Materials Inspected: Foil, paper, pouches, plastic sheets.

Plastic Molds

Plastic mold inspection requires accuracy to ensure that each piece meets design specifications and functional requirements. Intelgic’s system offers just that.

Defects Detected: Warping, voids, sink marks, surface defects, flash, short shots.
Materials Inspected: Molded plastic components, injection-molded parts, thermoplastic materials.

Electronics

In the electronics industry, defect detection is critical for ensuring product reliability and performance. Our system inspects various electronic components with high precision.

Defects Detected:Solder joint defects, misaligned components, surface contamination, cracks, missing components.
Materials Inspected:PCB defects, bad soldering, position shifts, blowholes, acid trap, plating voids, missing wire bonds, cracked substrate, bad dies, missing solder masks etc.

Metal and Wood Printing

Quality printing on metal and wood surfaces requires careful inspection to avoid costly errors. Our system ensures the highest quality standards are met.

Defects Detected:Misprints, Blobs, aluminum defects, bounce lines, color deviations, smudges, scratches, foreign objects, surface irregularities.
Materials Inspected:Metal sheets, wood panels, printed metal and wood products.

Wood Surface

Wood surface inspection is crucial for industries like furniture and flooring. Our system identifies even the smallest imperfections to ensure product quality.

Defects Detected: Knots, cracks, warping, discoloration, surface scratches, splinters.
Materials Inspected:Hardwood, plywood, veneer, laminated wood.

Glass and Metallic Products

Inspection of glass and metallic products demands precision to ensure clarity, strength, and aesthetic quality. Intelgic’s system is designed to meet these challenges.

Defects Detected: Scratches, chips, cracks, surface bubbles, material inconsistencies, coating defects.
Materials Inspected:Glass panels, mirrors, metallic coatings, metalized glass products.

Machine Vision System Setup for Defect Detection

Discovery: Assess defect size, product dimensions, line speed, and other critical factors.
Imaging Device Selection: Choose the appropriate camera and lens based on the identified factors.
Camera Setup: Position the camera with precise illustrations.
Controller Setup: Connect the camera to the Live Vision Software, configure the camera, lighting, and frame grabber.
Image and Video Collection: Capture images and videos to create a comprehensive dataset.
AI Training: Use the collected data to train the AI for accurate defect detection.
Monitoring and Fine-Tuning: Continuously monitor the system and make adjustments to optimize performance.
Go Live: Deploy the system for real-time defect detection