What isn’t measured can’t be improved. In a sector as competitive and regulated as food, KPIs (key performance indicators) are essential to control quality, cost and efficiency. Machine vision is a reliable data source to feed them. Let’s look at which KPIs matter and how to obtain them.
Quality KPIs
- Defect rate / rejection rate: percentage of non-conforming units detected.
- First Pass Yield (FPY): units right first time, without rework.
- Complaints and returns: defects that reached the customer.
- Foreign bodies detected: key to food safety.
Efficiency and cost KPIs
- OEE (availability × performance × quality).
- Waste and scrap of product and packaging.
- Stoppages due to quality or jams.
How machine vision feeds KPIs
By inspecting 100 % of production, machine vision records every defect, its type and its timing. That data, integrated with your system via custom software, becomes real-time KPIs: dashboards, alerts and root-cause analysis.
From measuring to improving
KPIs only matter if they drive action. With objective line data, continuous improvement reduces defects, waste and stoppages. It’s the basis of modern food quality control.
At AIS Vision Systems we generate your KPI data with custom software and our inspection platform. Tell us what you want to measure.