Turn potato variability into consistent yield
Potato intake inspection
- Measure remaining peel and over-peeling in real time
- Detect peeling inconsistencies across the line
- Optimize steam or abrasion settings automatically
- Reduce unnecessary potato removal
- Stabilize peeling performance despite raw material variation
Peeling Optimization
- Detect greening, damage, rot, and defects
- Predict processing performance and yield
- Route batches to the optimal production line
- Reduce variability caused by inconsistent raw material
Cutting Optimization
- Monitor strip quality, dimensions, and breakage
- Detect cutting inefficiencies early
- Adapt cutting parameters to potato characteristics
- Reduce short fries and unusable product
- Improve downstream process stability
Optical Sorter Optimization
- Provide smarter defect classification before or after sorting
- Optimize sorter thresholds dynamically
- Reduce good product loss caused by aggressive sorting
- Improve separation between acceptable and defective product
- Adapt sorting logic to changing product conditions
Defect & Foreign Material Detection
- Detect discoloration, dark spots, burn marks, and deformities
- Identify foreign materials inline
- Monitor product quality continuously at production speed
- Reduce dependency on manual inspection
- Improve traceability and reporting
Why potato producers choose Polysense
Protect yield and margins
Reduce waste across the line
Helping operators deliver consistent results every time
Quality Control in Potato Processing
A new pair of eyes for quality control teams in potatoes
Get the most out of a single potato
Consistent fry size and specification
Stable quality and fewer rejects
How Polysense improves your production line step by step
Understand your production line
Install and train
Real-time control in your hands
Closed-loop optimization
The outcome?
You might have some questions
That's exactly what it's built for. Fresh produce quality shifts with climate, growing region and supplier. Polysense measures quality continuously, so your line parameters adapt to what's actually coming in rather than staying fixed to last season's settings.
Optical sorters are only as good as the settings behind them. Most are configured once and rarely updated, because there's no live data to drive adjustments. Polysense feeds continuous measurement data back to your sorters, so their parameters stay accurate as raw material quality shifts across seasons and supplier batches.
Polysense integrates with the systems already running on your shop floor, including SCADA, MES and PLC platforms. Measurement results flow directly into the systems your team already uses, including your central dashboards and reporting tools. No parallel infrastructure required.
Yes, and this is one of the highest-impact use cases. When operators set aggressive peeling settings to be safe, they lose good potato that did not need to come off. Polysense measures peel remain in real time and adjusts peeling parameters dynamically, so you peel just enough, consistently, without leaving peel behind or removing more than necessary.
Yes. Polysense is configured to detect and classify specific defect types relevant to your line and your quality standards. Whether you need itemized defect categories or a general defect rate, the system is set up around the parameters that matter for your operation and your customers.
That is exactly what it is built for. Polysense measures quality continuously, so your line parameters adapt dynamically as raw material characteristics shift across seasons, varieties and supplier batches, rather than staying fixed to settings that made sense months ago.
No. Polysense is designed to install on the line you already have. We connect to your existing equipment with minimal hardware changes, including peelers, cutters, sorters and washers. Most lines are up and running within a few weeks.
That's common. Most vision systems are built as generic tools that don't account for the realities of food processing. Polysense is different in two ways: we focus exclusively on food production, and we've built deep, hands-on understanding of how real potato processing lines actually behave. We work directly with potato processors, so the system is designed around yield, variability and production constraints, not lab conditions.
