contamination
detection
Contamination detection powered by Hyperspectral Imaging (HSI) and spectroscopy is a cutting-edge technology that identifies harmful substances in food and agricultural products.
This approach goes beyond traditional quality control methods by analyzing the light spectrum reflected off materials to detect contaminants that are invisible to the human eye.
By using HSI, manufacturers can ensure the safety and integrity of their products, preventing the distribution of contaminated goods that could harm consumers or lead to costly recalls.
benefits
Reduce Risks to Consumers
Quickly and accurately detect contaminants, ensuring that products meet safety standards before reaching the market.
Ensure Regulatory Compliance
Ensure Regulatory Compliance: Meet and exceed food safety regulations, reducing the risk of fines, recalls, and reputational damage.
Cost Savings
Avoid expensive product recalls by identifying contamination early in the production process.
Real-Time Insights
Get instant, actionable feedback during production to prevent contamination spread.
application examples
Food Processing
Detect pesticides, pathogens, or foreign materials like plastic or glass in fruits, vegetables, and packaged goods.
Meat & Poultry
Ensure no harmful bacterial contamination like salmonella or listeria in meat processing facilities.
Agricultural Products
Monitor crops for the presence of chemical residues, fungal growth, or heavy metal contamination before distribution.
data speaks
15%+
Food recall related to contamination
by foreign materials
↓40%
Reduction in contamination
related recalls within the first year
of hyperspectral adaption
↓25%
We reduced waste
by 25% from a leading vegetable producer
using HYPr contamination detection
how does it work?
Hyperspectral imaging captures light across wavelengths, creating unique fingerprints for materials, allowing precise contaminant detection, even when invisible to the naked eye.
(a)
Detect pesticides, pathogens, or foreign materials like plastic or glass in fruits, vegetables, and packaged goods.
(b)
Each material's spectral signature forms a unique “fingerprint,” which is used to identify potential contaminants with high precision.
(c)
Advanced algorithms analyze deviations in spectral fingerprints, accurately detecting contaminants even when invisible to the naked eye.
(d)
Real-time feedback is provided, enabling immediate corrective actions to address contamination and maintain product safety.
