moisture
analysis
Moisture analysis using Hyperspectral Imaging (HSI) and spectroscopy measures the water content in food products, ensuring quality and consistency throughout the supply chain.
This non-destructive approach surpasses traditional methods by offering rapid and precise moisture readings without altering the product.
Beyond’s solution allows manufacturers to maintain optimal moisture levels, improving product quality and shelf stability while reducing spoilage.
benefits
Improve Product Quality
Maintain ideal moisture levels to ensure texture and taste are consistent.
Enhance Shelf Life
Prevent spoilage and maintain freshness by monitoring moisture content accurately.
Reduce Spoilage Losses
Identify products with suboptimal moisture levels early to minimize waste.
Streamline Production
Optimize drying and storage processes with real-time moisture feedback.
application examples
Grain Storage
Monitor moisture content in grains to prevent mold and spoilage.
Snack Foods
Ensure consistent moisture levels in products like chips or granola bars to maintain crunch and freshness.
Meat Processing
Analyze water content in meat products to maintain texture and compliance with regulations.
data speaks
↓30%
Reduction in spoilage
during storage
(Source: Moisture Control Journal)
↓15%
Improvement in product shelf life
with precise moisture control
(Source: Food Preservation Studies)
↑20%
Decrease in production costs
by optimizing drying processes
(Source: Industrial Drying Efficiency Report)
how does it work?
Advanced food imagery measures water content non-invasively by analyzing light absorption, ensuring consistent moisture levels for high-quality products.
(a)
HSI captures how light is absorbed by water molecules, indicating moisture levels.
(b)
Moisture content is quantified through unique spectral signatures that reflect water presence.
(c)
Data is processed instantly, providing real-time moisture readings across production lines.
(d)
Feedback helps adjust drying or storage processes to achieve optimal moisture levels.
