Modular AI station to improve yield, quality, and staff skills
Unlock real-time control and feedback loops, measuring all features while providing operator guidance and giving managers in-depth yield, quality, and staff skills analytics.
Yield
Identify yield gain and loss trends for every product feature with batch, staff, and financial performance reports.
QA
Ensure targets are met using real-time guidance. Grade and classify food products, identify defects and errors, and automatically sort, regrade, or reject products.
STAFF SKILLS
Halve onboarding time and provide individualized, focused staff training based on performance metrics
Modular
Customize the FloVision Pro station to identify, measure, guide, and control the highest priority features or production steps.
“FloVision Pro gave us the ability to improve our yield and production quality with feedback at every level. Our operators get feedback after processing each product, our floor supervisors get full visibility over every station, and our management gets overall performance trends to guide decision-making.”
Production Manager, Beef processor
Yield Analysis
QA Analysis
Laser Guidance
Specification Measurement
Specification Optimization
Financial Analysis
Staff Skills Analysis
Operator Feedback
Grading & Classification
Productivity Analysis
Load Cell
Defect Detection
Supervisor Alerts
Label Reading
Traceability
Foreign Body
FloVision Analytics
Yield, quality, financial, and staff performance data is organized into clear visualizations in the FloVision Analytics dashboard. Supervisors and managers can quickly review reports and trends for staff, customers, production lines and facilities, automatically receive updates via email, and integrate data seamlessly with APIs.
Beef processor increases spec accuracy by 30%
- Recovered Yield - FloVision Pro uncovered a striploin primal spec that was overtrimmed by 120% on average
- Performance Improvement - Butchers used laser guides to achieve consistent spec trimming
- Bottom Line - The processor recovered $68,400 yearly by correcting this error