Overview
A reputed power and energy products manufacturing company wanted a solution for automated inspection of their PCB manufacturing process. Tech Vedika built an AI-powered inspection solution leveraging its TechVision+ platform using Cameras for capturing PCB views at different stages of the manufacturing process for component classification and defect detection & classification.
Requirements
- Inspection of PCBs used in Battery Power Control and Train Collision Avoidance Systems
- The manufacturing process comprises of both robotic machine automation as well as manual assembly stages
- Small component size and high density of components in PCB requires high manual efforts
- Need for automating the current QA Process for PCB Component Assembly to improve productivity and reduce defects
TechVision+ leverages 2D & 3D cameras that identifies and eliminates defective products before they can harm your brand
Platform Overview
TechVision+ Inspect is a next-generation platform utilizing intelligent vision in manufacturing PCB’s with zero defects. Our smart vision-inspection provides benefits increasingly valued by electronic and component manufacturing companies including:
- Barcode Reading and PCB Identification
- Component Segmentation and Classification
- Defect Detection and Classification
- Component Assembly Verification
- Component Presence or Absence
- OCR for Component Information Capture
Intelligent Vision for Better Outcomes
TechVision+ ensures that each & every component, rather than a random sample of components, is inspected and avoids rejection and remanufacturing of entire batches while also reducing the likelihood of defective products being shipped.
Solution
- Setup of Cameras for capturing the PCB images at each stage of the manufacturing process
- Golden PCB Images used to compare the Test PCB Image for component verification and defect detection
- Deep Learning and Vision Analytics Algorithms developed for Component Identification & Defect Classification
- Leveraged PCB CAD files data for improving QA accuracy
BUSINESS OUTCOMES
- QA Cycle Time improvement of 60-80%
- Defect Detection accuracy improvement by 20-25%
- Rework post-manufacturing eliminated completely
Benefits
- Moved to an automated QA process where the product and its individual components are monitored, and quality tested as they are being manufactured
- Elimination of random sampling of components and rejection and remanufacture of an entire batch
- Adherence to manufacturing & regulatory standards
- Increase in product quality and reduction of manual QA overhead
