fbpx
sc-icon-1
sc-icon-2
sc-icon-3
sc-icon-4
  • Ελληνικά
Sherlock Hypernova
General Features
Specs/ Visual Material
Packaging Materials
Packable Products
Spectroscopic Sorter

SHERLOCK HYPERNOVA is an advanced small size food sorting system designed to detect foreign bodies and product deviations, both visible and invisible to the human eye.

Combining Chemical Imaging Technology CIT Gen3 with Deep Neural Networks, it analyzes and processes image data in real time, achieving exceptional sorting accuracy with minimal product loss.

How it works
Unlike conventional RGB cameras that recognize only color, hyperspectral imaging technology collects more than 200 spectral values per pixel, creating a complete chemical profile of the product.

This allows the system to detect
• Fat oxidation and rancidity
• Bitter almonds due to amygdalin
• Internal mold or decay
• Moisture and quality deviations
• Foreign bodies and trapped shells

With real time AI processing, defective products are immediately rejected through an air ejection system.

CHEMICAL ANALYSIS THROUGH IMAGE TECHNOLOGY CIT Gen3
Chemical Imaging Technology CIT Gen3 enables chemical analysis through imaging, identifying deviations that cannot be detected by conventional optical systems. It provides outstanding detection reliability and stable performance even when product or variety conditions change.

Artificial intelligence in real time
Deep Neural Networks technology is applied in real time to image data analysis, enabling the detection of even microscopic or invisible defects in high speed product streams.

InlineFOODLAB 4.0 – The ultimate support for your quality management
InlineFOODLAB 4.0 delivers quantitative chemical and qualitative product data in real time, supporting quality management with information such as fat oxidation, amygdalin, oil content and other critical quality parameters.

Applications
SHERLOCK HYPERNOVA is specifically designed for
• Nuts
• Dried fruits
• Small bulk food products

What it can control
• Moisture, fats and proteins
• Oil quality and rancidity level
• Internal defects such as insects, mold and spoilage

Key advantages
• Non destructive quality control
• Inline quality data in real time
• High detection reliability
• Reduced product loss
• Energy and labor savings

Packaging Materials
Packable Products
P. Kapelis S.A.
Address:
Zinonos 11, 19441, Koropi
Industrial Area, Attica
G.E.MI : 2373401000
Social Media
NEWSLETTER
Copyright © 2026 Kapelis Packaging
envelopephonemagnifiercross