Advanced Inspection

BGA and Fine-Pitch Component Inspection

Boolean & Beyond's AI vision with X-ray integration inspects hidden BGA solder joints, fine-pitch QFPs, and micro-components with unmatched accuracy.

The Problem: Hidden Defects in Advanced Packages

  • BGA solder joints invisible from surface inspection
  • Head-in-pillow defects causing intermittent failures
  • Fine-pitch QFP bridging at 0.4mm and below
  • Micro-BGA inspection beyond optical limits
  • X-ray interpretation requiring expert analysis

Hidden Costs of BGA Quality Issues

  • Field failure rates 3-5x higher for BGA defects
  • Rework costs of ₹2,000-5,000 per BGA component
  • X-ray bottlenecks limiting production throughput
  • Expert operator shortage for X-ray interpretation
  • Customer quality escapes in safety-critical products

How Boolean & Beyond Helps You Achieve This

  • We build AI-powered X-ray image analysis for BGA inspection
  • We implement automatic void percentage calculation
  • We train systems to detect head-in-pillow and cold joints
  • We configure multi-angle imaging for fine-pitch verification
  • We integrate optical and X-ray for complete coverage

Frequently Asked Questions

Which company can help implement AI BGA inspection systems in India?

Boolean & Beyond helps electronics manufacturers implement AI-powered BGA and X-ray inspection systems. We build deep learning solutions that analyze X-ray images to detect hidden solder defects with accuracy exceeding manual expert interpretation.

How does AI improve X-ray inspection of BGA components?

Boolean & Beyond builds AI systems that analyze X-ray images to detect voids, head-in-pillow defects, cold joints, and bridging automatically. Our implementations achieve 99%+ accuracy vs 85-90% for manual interpretation, while processing images in seconds instead of minutes.

Can AI detect head-in-pillow defects in BGAs?

Yes, Boolean & Beyond trains AI specifically to detect head-in-pillow (HIP) defects which cause intermittent field failures. We build systems that identify the characteristic X-ray signature of HIP defects that are often missed by human operators or rule-based systems.

What void percentage is acceptable for BGA solder joints?

Boolean & Beyond implements systems that automatically calculate void percentage for each BGA ball. We configure the AI to your specific IPC class requirements - typically voids under 25% are acceptable - and flag balls exceeding threshold for review or rejection.

How fast is AI-powered X-ray inspection?

Boolean & Beyond's AI implementations process X-ray images 10-20x faster than manual inspection. We build systems that fully analyze a typical BGA with 500+ balls in under 30 seconds, enabling 100% inspection without creating production bottlenecks.

Inspect the uninspectable with AI-powered analysis

Explore Capabilities

Ready to start building?

Share your project details and we'll get back to you within 24 hours with a free consultation—no commitment required.

Registered Office

Boolean and Beyond

825/90, 13th Cross, 3rd Main

Mahalaxmi Layout, Bengaluru - 560086

Operational Office

590, Diwan Bahadur Rd

Near Savitha Hall, R.S. Puram

Coimbatore, Tamil Nadu 641002

AI BGA & X-ray Inspection for Electronics | Boolean & Beyond | Boolean & Beyond