Defect removal for french fries

Name: S-Blade
Brand: PIP Innovations

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our approach

A smarter approach to defect removal for french fries

In 2020, we set out to solve a clear problem: removing defects from french fries without removing good product. By combining mechanical simplicity with deep learning software, we developed a defect removal system that focuses only on what truly needs to be removed. The result is stable performance, higher yield, and low maintenance in real production environments.

CORE TECHNOLOGY

At the heart of the
S-Blade lies its software

As intuitive as a smartphone

The interface is designed to be as intuitive as using a modern smartphone. Error messages are presented step-by-step, supported by clear icons and short instructions. This ensures that new operators can quickly become productive, without long training cycles or deep technical knowledge.

Built in Deep Learning

Deep learning enables the S-Blade to continuously improve. All connected units worldwide share fault data and solutions, creating a global knowledge base. As a result, common issues are automatically recognized and addressed, with on-screen guidance that reduces downtime and limits the need for service calls.

Continuous and stable performance

S-Blade maintains its precision over longer periods of time. In part because of its abality to self-clean at set intervals. S-Blade requires no changes to the setup when changing to a different product.

benefits

Benefits of intelligent
defect removal with S-Blade

Higher yield

Removes only true defects instead of cutting away good product.

Stable performance over time

Delivers consistent cutting accuracy without frequent recalibration.

Low total cost of ownership

Minimal wear parts and reduced maintenance lower service and replacement costs.

Minimal operator involvement

Adaptive software removes the need for constant manual tuning.

Adaptive deep learning

Learns from real production data to reliably detect defects.

Reliable skin-on performance

Correctly distinguishes defects from skin where others fail.

High-capacity, industrial-ready

Designed for continuous high-throughput operation.

See it in action

Invite me please

With lower maintenance costs, higher yield, and reduced product loss, S-Blade offers tangible ROI improvement. Plants benefit from stable production, less downtime, and a consistent end product, regardless of potato quality or production location.

Up to 8 metric tons per hour

Minimal operator involvement

High Accuracy & Yield

Low Maintenance

Deep Learning

Self Cleaning

AI Vision Technology

Line components

Designed as a complete defect removal system

De-watering Shaker

Removal of transport water

Distribution shaker

Equally distributes the infeed

Spreader Shaker

Aligns, spreads, and singulates the fries

S-Blade

Defect removal for french fries

Outfeed shaker

Nubbin removal

Designed to fit seamlessly into your production line

The S-Blade system is designed to integrate smoothly into existing potato processing lines. The modular setup allows processors to combine only the required components, minimizing changes to upstream and downstream equipment. This reduces installation complexity and enables a controlled transition without disrupting ongoing production.

Every component working towards stable performance

Each component in the S-Blade line is designed with one goal in mind: stable, reliable defect removal. By controlling product flow, alignment and positioning before the cutting stage, the system creates optimal conditions for precise detection and cutting. The result is consistent performance, reduced wear and predictable output over time.

the brains

Flexible, Operator-Friendly Design

The S-Blade software is designed to support stable, predictable production in real-world environments. Instead of relying on complex rules or frequent manual adjustments, the system uses intelligent control and clear operator guidance to maintain consistent performance over time. This reduces dependency on skilled personnel and limits downtime caused by incorrect settings or delayed intervention