AI-powered visual inspection, defect detection, and quality assurance across production lines with 95% accuracy
Defect Detection
Cost Reduction
Inspection Coverage
Manufacturing quality control relies on manual inspection, which is slow, inconsistent, and expensive. Human inspectors can only check 5-10% of products, leading to defects reaching customers. The cost of recalls, warranty claims, and brand damage from quality issues runs into billions annually.
Helium deploys computer vision AI that inspects 100% of products in real-time, detecting defects with 95% accuracy. The system learns from every inspection to continuously improve detection capabilities.
Defect Detection
Inspection Coverage
Cost Reduction
High-speed cameras capture every product. AI analyzes images for surface defects, dimensional accuracy, color consistency, and assembly errors in milliseconds.
System learns from every inspection, improving accuracy over time. Adapts to new product lines and defect types automatically.
Track defect rates, identify production issues, and predict quality trends. Alert operators to problems before they escalate.
Connects with MES, ERP, and quality management systems. Automatically logs defects, triggers rework, and updates production metrics.
Defect Detection
vs 80% manual
Coverage
Every product inspected
Annual Savings
Labor + defect prevention
Challenge: A consumer electronics manufacturer producing 500,000 units monthly had 2% defect rate reaching customers, resulting in $15M annual warranty costs and brand damage. Manual inspection covered only 8% of products.
Helium Implementation: Deployed computer vision systems across 12 production lines. AIM trained on 100,000 labeled defect images and integrated with MES and quality management systems.
Results After 90 Days:
High-resolution cameras capture multiple angles of each product as it moves through the production line at full speed. No slowdown required.
Computer vision models trained on your specific products and defect types analyze every image in milliseconds, detecting surface defects, dimensional issues, and assembly errors.
Defects are automatically classified by type, severity, and root cause. The system learns from historical data to predict which defects will impact performance.
Defective products are automatically sorted for rework or scrap. Quality engineers receive instant alerts with images and analysis for critical issues.
Catch defects before they reach customers, eliminating costly recalls and protecting brand reputation
Identify root causes of defects and optimize production processes with data-driven insights
Redeploy quality inspectors to higher-value activities like process improvement and root cause analysis
Automatic generation of quality reports, traceability records, and compliance documentation
See how Helium delivers 95% defect detection with 100% coverage
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