A moisture detecting apparatus includes: a light emitting unit including a first light source configured to emit light having a first wavelength as a peak wavelength, and a second light source configured to emit light having a second wavelength as a peak wavelength; a detecting unit configured to detect a first detection value indicating an extent to which the light emitted from the first light source is transmitted through a recording material, and a second detection value indicating an extent to which the light emitted by the second light source is transmitted through the recording material, based on a light receiving result of a light receiving unit; and a determination unit configured to determine a value related to a moisture content of the recording material based on the first detection value and the second detection value.

Near InfraRed NIR technology, including NIR cameras and detectors, is used to accurately identify moisture content and the specific locations of the moisture on an entire surface of a veneer sheet or other wood product. Based on the identified moisture content for a given wood product, one or more actions are taken with respect to wood product to ensure the wood product is put the most efficient, effective, and valuable use.

Near InfraRed NIR technology, including NIR cameras and detectors, is used to accurately identify moisture content and the specific locations of the moisture on an entire surface of a veneer sheet or other wood product. Based on the identified moisture content for a given wood product, one or more actions are taken with respect to wood product to ensure the wood product is put the most efficient, effective, and valuable use.

Near InfraRed NIR technology, including NIR cameras and detectors, and machine learning methods and systems, including one or more Machine Learning (ML) based moisture level detection models, are used to accurately identify moisture content and the specific locations of the moisture on an entire surface of a veneer sheet or other wood product and provide moisture level prediction data for the veneer sheet or other wood product. Based on the moisture level prediction data for a given wood product, one or more actions are taken with respect to wood product to ensure the wood product is put to the most efficient, effective, and valuable use.

Near InfraRed NIR technology, including NIR cameras and detectors, and machine learning methods and systems, including one or more Machine Learning (ML) based moisture level detection models, are used to accurately identify moisture content and the specific locations of the moisture on an entire surface of a veneer sheet or other wood product and provide moisture level prediction data for the veneer sheet or other wood product. Based on the moisture level prediction data for a given wood product, one or more actions are taken with respect to wood product to ensure the wood product is put to the most efficient, effective, and valuable use.

Near InfraRed NIR technology, including NIR cameras and detectors, and one or more visual cameras are used to generate superimposed image data representing a visual/NIR composite image of wood product and correlating moisture levels with physical features of the surfaces of the wood product. By analyzing the visual/NIR composite image represented by superimposed image data, moisture pockets near an open physical feature that, absent the presence open physical feature would be a problem, can be identified and ignored. Based on the identified moisture levels at various locations in a given wood product, and the proximity of physical features to the identified moisture locations, one or more actions are taken with respect to wood product to ensure the wood product is put to the most efficient, effective, and valuable use.

Near InfraRed NIR technology, including NIR cameras and detectors, and one or more visual cameras are used to generate superimposed image data representing a visual/NIR composite image of wood product and correlating moisture levels with physical features of the surfaces of the wood product. By analyzing the visual/NIR composite image represented by superimposed image data, moisture pockets near an open physical feature that, absent the presence open physical feature would be a problem, can be identified and ignored. Based on the identified moisture levels at various locations in a given wood product, and the proximity of physical features to the identified moisture locations, one or more actions are taken with respect to wood product to ensure the wood product is put to the most efficient, effective, and valuable use.

A method for detecting a deflection between a source module and a detection module in a scanning apparatus and configured as a sensor pair for scanning transmission measurement of sheet material being transported in a machine direction through a sensing gap formed between the source module and the detection module. The source module is arranged on a first side of the sensing gap and emits a sensing radiation or sensing energy radiation towards the sensing gap, and the detection module is arranged on a second side of the sensing gap opposite to the first side and detects the radiation from the source module and transmitted through the sensing gap. The method includes: attaching a removable blocking device to the detection module; and performing a partially-blocked scanning process during which the source module and the detection module are jointly moved in a cross direction of the scanning apparatus.

A method for detecting a deflection between a source module and a detection module in a scanning apparatus and configured as a sensor pair for scanning transmission measurement of sheet material being transported in a machine direction through a sensing gap formed between the source module and the detection module. The source module is arranged on a first side of the sensing gap and emits a sensing radiation or sensing energy radiation towards the sensing gap, and the detection module is arranged on a second side of the sensing gap opposite to the first side and detects the radiation from the source module and transmitted through the sensing gap. The method includes: attaching a removable blocking device to the detection module; and performing a partially-blocked scanning process during which the source module and the detection module are jointly moved in a cross direction of the scanning apparatus.

A processing device includes a first light source and a second light source configured to emit light having a peak wavelength from 900 nm to 2,100 nm, a first light receiving portion, a second light receiving portion, and a processing portion configured to subject a medium to processing of increasing or reducing an amount of moisture contained in the medium. the first light source and the first light receiving portion are positioned upstream of the processing portion in a transport direction of the medium, the first light source irradiates, with light, the medium, the first light receiving portion receives light reflected by the medium, the second light source and the second light receiving portion are positioned downstream of the processing portion in the transport direction, the second light source irradiates, with light, the medium, and the second light receiving portion receives light reflected by the medium.