IMG-W: Moisture & Basic Density Control for Smarter Wood & Biomass Operations
Efficient, sustainable, and socially responsible.
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Optimize your material processes with accurate, real-time moisture measurement.
The IMG-W Solution
The Industrial Moisture Gate for Wood Logs (IMG-W) provides a clear, data-based picture of incoming wood deliveries, supporting accurate purchasing, material control and production planning.
The Microwave System generates multiple polarized low-power electromagnetic fields. Variations caused by water in the logs provide precise information about moisture content.
The 3D Optical System collects physical data on the truckload: width, length, height, speed, gaps, and load structure. This data controls the microwave system and calculates total load volume, ensuring accurate and representative results.
The Challenge
In wood and biomass, fiber, density, and moisture define value— yet every truckload hides uncertainty: how much is usable fiber, and how much is just water?
Sample-Based Moisture Measurement Conventional moisture measurement methods do not provide a complete picture, as sample-based or local measurements reflect only a small part of the load and do not capture the natural variability in wood moisture and density.
Uncertainty in raw material quality inflates costs — mills risk overpaying for water weight instead of usable fiber.
Sustainability is no longer optional — pulp producers must meet ever-tighter rules on energy efficiency and environmental responsibility.
The digital shift requires pulp producers to embrace data-driven operations — the cornerstone of future efficiency, profitability, and sustainable growth.
Solution
Using microwave technology combined with advanced 3D optical scanning, IMG-W delivers a fully automated, real-time measurement of the entire truckload—eliminating the need for traditional sampling.
Moisture Content – Accurate, representative values for the whole load
Basic Density – True measure of dry fiber content per cubic meter of material
Green Density – Net weight at delivery divided by the solid volume
Seamless System Integration – Easily connect with existing ERP and control systems for fully automated, real-time data flow.
Fill Factor – The conversion factor used to calculate solid volume from stereo volume, accounting for the empty spaces between pieces of wood.
Full-load measurement
Real-time insights
Eliminate guesswork and gain complete control over your material quality.
How does it work?
Our Industrial Moisture Gate (IMG) combines advanced microwave sensing with 3D optical analysis to measure the full load of incoming raw materials.
As material passes through the system, moisture is measured in real time across the full load, providing highly accurate and consistent data. When measuring large quantities of wood logs delivered by truck, IMG-W also determines the stereo-and solid volume, basic density and the load’s fill factor. This ensures that every delivery is evaluated on the basis of actual material characteristics.
The system automatically processes and transfers data into your production and ERP systems, enabling instant decision-making, optimized logistics, and improved process control.
BUSINESS IMPACT
EBITDA Margin Stability
Prevent overpayment for water weight and optimize energy usage—supporting healthier margins.
CapEx & OpEx Efficiency
Real-time insights enable better allocation of operational spending and reduce overinvestment risks.
Improved Budget Predictability
Consistent moisture and fiber data stabilizes cost models and improves financial forecasting.
Sharper Margin Control
Separate fiber from water and track real unit costs with higher precision.
OPERATIONAL & DATA PERFORMANCE
More Reliable KPI Dashboards
IMG data feeds directly into production KPIs, making performance metrics more trustworthy.
Enhanced OEE (Overall Equipment Effectiveness)
Better raw material consistency reduces downtime and production variability.
Audit-Ready Transparency
Digital measurement records support compliance, ESG reporting, and audits.
Faster Decision Cycles
Real-time data accelerates response times across production and management.
