Hyperspectral imaging
in food quality control
Hyperspectral imaging cameras enhance food quality analysis by providing accurate information on samples like meat, fish, fruit, and seeds.
HERA hyperspectral cameras present new possibilities for quality assessment in the meat industry.
With our HERA SWIR (900–1700 nm) and HERA eSWIR (1200-2200 nm) we are able to detect contamination due to foreign objects such as bones, plastic, and metals.
With spectral analysis, we can also detect variations in the chemical composition of meat corresponding to lean/fat content, tenderness, and colour monitoring.
Advantages of HERA
- High spatial and spectral resolution
- High sensitivity and throughput
- Fluorescence measurements
- Compact and lightweight
- Plug & Play
- Export data in ENVI format
Test measurement
We have taken measurements of a slice of ham using HERA SWIR and eSWIR. We observed a clear spectral difference between the fat and lean meat. Using a classification algorithm, it was possible to automatically categorize these lean and fatty regions of the sample. With similar measurements, it would be possible to also distinguish other objects with different spectral signatures such as plastic, wood, bones, and metal.
The following spectra have been retrieved from hyperspectral measurements taken using the HERA SWIR and eSWIR instruments.
The red spectra represent the fat content of the product, while the blue spectra correspond to the leaner part.
HERA SWIR: 900—1700 nm
HERA eSWIR: 1200—2200 nm
Discover the HERA Hyperspectral Cameras
