Quality Control - v2.0

AI-powered quality prediction with automated IoT testing systems

Quality Control - v2.0

Ensure consistent salsa quality with AI-powered prediction and automated IoT testing.

Overview

v2.0 introduces AI quality prediction, automated IoT testing equipment, and computer vision for visual inspection. Catch quality issues before they happen.

AI Quality Prediction

Predictive Quality Scoring

AI predicts quality scores before batch completion:

• Analyzes ingredient quality data
• Monitors production conditions in real-time
• Predicts final quality score with 95% accuracy
• Provides early warnings for potential issues

// Example: Get AI quality prediction
const prediction = await salsa.ai.quality.predict({
  batch_id: "BATCH-2024-001",
  current_stage: "mixing"
});

console.log(`Predicted quality: ${prediction.score}/10`);
console.log(`Confidence: ${prediction.confidence}%`);

Anomaly Detection

AI identifies quality issues in real-time:

• Unusual ingredient combinations
• Temperature deviations during production
• Inconsistent mixing times
• pH level variations

IoT Automated Testing

Connected Testing Equipment

Automated quality tests with IoT devices:

• pH meters: Continuous pH monitoring
• Viscosity sensors: Consistency measurements
• Color sensors: Visual consistency checks
• Temperature probes: Production temperature tracking

Computer Vision Inspection

AI-powered visual quality control:

• Automated visual inspection using cameras
• Defect detection (contamination, inconsistency)
• Portion control verification
• Packaging quality checks

Note: New in v2.0: Computer vision systems can inspect 100% of production, compared to manual sampling in v1.0.

Quality Scoring

AI-Enhanced Scoring

Machine learning improves quality assessment:

// Example: Record quality with AI assistance
const qualityCheck = await salsa.ai.quality.recordScore({
  batch_id: "BATCH-2024-001",
  automated_scores: {
    visual_ai: 9.2,
    ph_sensor: 8.8,
    viscosity: 9.0,
    temperature: 10.0
  },
  manual_scores: {
    taste: 9.5
  },
  ai_analysis: true
});

Predictive Maintenance

AI monitors equipment health:

• Predicts equipment failures before they occur
• Identifies calibration drift in testing equipment
• Recommends maintenance schedules
• Reduces downtime by 75%

Quality Standards

Smart Standards

AI-adjusted quality standards:

• Automatic threshold adjustments based on historical data
• Seasonal variation compensation
• Supplier quality correlation
• Customer feedback integration

Real-Time Compliance

Automated compliance monitoring:

• HACCP automated documentation
• FDA regulation tracking
• Real-time violation alerts
• Digital audit trails

Quality Insights

AI-Powered Analytics

Deep quality insights:

• Root cause analysis for quality issues
• Correlation between ingredients and scores
• Supplier quality impact analysis
• Production condition optimization

Continuous Improvement

AI suggests quality improvements:

• Ingredient substitution recommendations
• Process optimization suggestions
• Equipment upgrade recommendations
• Training needs identification

Warning: Critical Quality Alerts: AI-detected safety issues trigger immediate production halts and manager notifications.

Best Practices