Transform Video into Standard Work

Combines powerful video annotation tools, AI-powered analysis, and automated Standard Work documentation into one seamless workflow. Save 80% of time on time studies and standardization.

Traditional Time Studies Are Broken

  • Manual video review with stopwatches takes hours or days
  • Writing timestamps on paper leads to transcription errors
  • Creating Standard Work documents from scratch is tedious
  • Identifying waste patterns requires expert lean knowledge

Automated Video-to-Standard-Work Pipeline

  • Frame-precise annotation - Digital timestamps replace stopwatches
  • AI motion detection - Automatically identify activity patterns
  • Auto-generate Standard Work - From video to shop-floor document
  • AI identifies 8 wastes - Automatic lean manufacturing insights

One Platform, Three Powerful Tools

Everything you need from video observation to documented Standard Work

🎬

Video Annotation Made Simple

Upload videos of any manufacturing process and annotate with frame-by-frame precision.

  • Frame-by-frame navigation with keyboard shortcuts
  • Split/lap timer for marking work elements
  • Custom categories for organizing observations
  • Loop regions for detailed observation
  • Export annotations to CSV/JSON
🤖

AI-Powered Intelligence

Advanced computer vision and AI analysis for automatic insights and waste identification.

  • Motion detection using OpenCV
  • Automatic activity pattern recognition
  • Cycle time detection and analysis
  • 8 wastes identification (TIMWOODS)
  • AI-generated improvement recommendations
📄

Standard Work Documentation

The game changer - automated pipeline from video timestamps to shop-floor-ready documents.

  • Video-to-Standard-Work automation
  • Work element creation from timestamps
  • Value-add/waste classification
  • Built-in takt time calculator
  • Visual timeline showing work balance
  • PDF export (11x17" poster or 8.5x11" report)
📊

Visual Waste Analysis

Color-coded timeline shows exactly where time is being lost and improvement potential.

  • Green = value-add activities
  • Red = waste (non-value-add)
  • Yellow = necessary waste
  • Instant value-add percentage calculation
  • Improvement opportunity scoring
🔄

Template System for Scale

Document once, replicate everywhere - save templates and deploy best practices instantly.

  • Save Standard Work as templates
  • Reuse across similar workstations
  • Version control and approval workflow
  • Multi-site deployment support
  • Before/after comparisons
🌍

Multi-Language Support

Create Standard Work in English, translate to Spanish (or other languages) with one click.

  • English and Spanish support
  • One-click translation
  • Perfect for diverse workforces
  • Custom branding options
  • Professional shop-floor formatting

Real-World Use Cases

See how manufacturing teams use Ezbelta to transform their operations

Assembly Standardization

"Document a new assembly process for training new operators"

Record video → Annotate steps → AI identifies waste → Generate Standard Work → Export PDF for training

Result: New operators learn 50% faster with video + Standard Work

Warehouse Picking Optimization

"Reduce walking time in warehouse picking operations"

Video pickers → AI motion detection → Classify walking as waste → Visualize 60% walking time → Redesign pick path

Result: Reduced walking by 40%, increased picks per hour by 35%

Kaizen Event Documentation

"Document improvements from a week-long kaizen event"

Record before/after → Compare cycle times → Show value-add improvement (32% → 58%) → Export for management

Result: Clear ROI demonstration with data-backed improvements

Time Study Automation

"Conduct time studies across 20 workstations"

Record all 20 stations (1 hour) → Annotate at desk (2 hours) → AI analysis → Auto-generate 20 Standard Works

Result: Complete in 3 hours vs. 2+ weeks with stopwatch methods

Ready to Transform Your Standard Work Process?

Join industrial engineers and continuous improvement teams who've saved 80% of time on standardization. Contact us