Polysense for Fruit & Vegetables

Fresh produce variability is inevitable. Losing margin to it isn't.

Fresh produce quality shifts with every harvest, every season,every supplier batch. Polysense measures what's happening on your line in realtime, so you can act before product is lost, rejected or recalled.
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Used by leading fruit & vegetables processors worldwide

Incoming product inspection

  • Detect surface mould, rot and discoloration at intake
  • Identify bruising and physical damage on arrival
  • Flag out-of-spec supplier batches before they enter the line
  • Measure colour deviation and ripeness inline
  • Build objective intake data for supplier quality control
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Grading and sorting optimization

  • Measure defect rates before and after each sorting stage
  • Detect good product lost to poorly calibrated sorter settings
  • Feed live data back to sorters to keep rejection parameters accurate
  • Track sorting performance across shifts to catch drift early
  • Reduce product loss from overly aggressive rejection thresholds
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Cutting and peeling optimization

  • Measure residual peel and trim loss after every peeling cycle
  • Detect over-peeling and adjust settings dynamically
  • Monitor cut dimensions and shape consistency across the run
  • Catch cutter drift before off-spec product accumulates
  • Track yield loss per batch to identify where product is being lost
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Optical Sorter Optimization

  • Detect foreign material across fruit, vegetable and mixed streams
  • Stop contaminated product before it reaches dosing or packaging
  • Trigger automatic rejection without stopping the line
  • Monitor contamination frequency to identify recurring sources
  • Log every detection event for full traceability
Photo of food production environment showing Polysense quality control application for this industry

Defect & Foreign Material Detection

  • Verify label placement and print quality on every pack
  • Check seal integrity across all packaging formats
  • Validate date codes against production order data
  • Detect incorrect or missing packaging material
  • Flag errors in real time before product leaves the facility
Photo of food production environment showing Polysense quality control application for this industry
Optimize raw material utilization
Reduce over-processing and giveaway
More predictable margins

Protect yield and margins

Natural variation in fresh produce often leads to unnecessary product loss during peeling, cutting and sorting.
Up to 5% higher yield
Detect mould, rot, bruising and discoloration early
Catch foreign material before dosing and packaging
Fewer rejected batches and customer complaints

Reduce waste across the line

Quality issues are often detected too late through manual sampling.
Up to 40% less waste
Less reliance on manual measurements and judgment
Stable output despite seasonal raw material swings
Consistent results across shifts without manual adjustment

Helping operators deliver consistent results every time

Ensure consistent product quality across batches and shifts by reducing variability and reliance on manual adjustments.
Up to 45% less operator dependancy
Objective quality control

Protect yield and margins

Natural variation in fresh produce leads to product loss during trimming, cutting and sorting that most lines never fully account for. Real-time measurement shows you exactly where product is being lost, while you can still do something about it.
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Anomaly detection

Catch quality problems before they become costly

Manual sampling catches defects after the fact. By the time your team finds an issue, hundreds of kilograms of affected product may already be through the line. Detecting problems inline means you can act while the batch is still running.
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Process consistency

Consistent output, every shift, with every operator

Quality shouldn't depend on who's running the line today. Polysense gives every operator the same objective picture, so results stay consistent regardless of shift or season.
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"Polysense is our strategic partner that stretches us in taking our production to the next-level with long-term projects. Their balanced combination of knowledge, agility and skills make them our one-stop shop for AI and data in our production."
How Agristo is saving waste, time and money with Polysense Qualify
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Understand your production line

We map your line end to end: what to measure, which quality challenges matter, and which KPIs define performance. This creates a shared baseline of reality.

Install and train

Polysense is installed on your existing production line with minimal hardware changes, integrating with the machines and systems you already use. Our algorithms learn your product and production behavior.

Real-time control in your hands

Product quality is measured in real time on the line, giving you continuous visibility into variation, defects and performance. The platform goes live with dashboards, alerts, and root cause analysis. Your team acts on real-time insights and continuously steers production based on what is happening now.

Closed-loop optimization

Polysense moves from insight to action. Setpoints are automatically adjusted to optimize performance, while operators focus on exceptions instead of constant monitoring.

The outcome?

A dynamic production process that stabilizes output despite variability.
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That's exactly what it's built for. Fresh produce quality shifts withclimate, growing region and supplier. Polysense measures quality continuously,so your line parameters adapt to what's actually coming in rather than stayingfixed to last season's settings.

Optical sorters are only as good as the settings behind them. Most areconfigured once and rarely updated, because there's no live data to driveadjustments. Polysense feeds continuous measurement data back to your sorters,so their parameters stay accurate as raw material quality shifts across seasonsand supplier batches.

Polysense integrates with the systemsalready 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 parallelinfrastructure required.

That's common. Most vision systems arebuilt 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 production linesactually behave. We don't come in with a generic camera solution and hope itfits. We work directly with food producers, so the system is designed aroundyield, variability and production constraints, not lab conditions.

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.