A system and method for estimating livestock weight is described. Embodiments of the system can include a computing device and a three-dimensional tag configured to be secured to an animal. One or more images of an animal, including the three-dimensional tag, can be processed to take various measurements of the animal. A scaling factor for the measurements can be based on the three-dimensional tag. After the measurement are calibrated, a weight of the animal can be estimated based on the calibrated measurements.

A system and method for estimating livestock weight is described. Embodiments of the system can include a computing device and a three-dimensional tag configured to be secured to an animal. One or more images of an animal, including the three-dimensional tag, can be processed to take various measurements of the animal. A scaling factor for the measurements can be based on the three-dimensional tag. After the measurement are calibrated, a weight of the animal can be estimated based on the calibrated measurements.

The weighing platform with a lattice load-bearing structure shaped spatially and made of load-bearing elements and connecting elements intersecting with them, affixed to a joint frame, whereas the load-bearing elements, in the place of intersection with the connecting profiles, have cuts in the shape adjusted to the shape of the connecting elements, and additionally the platform contains at least one load-bearing shell, measurement elements, regulated feet and connectors, according to the invention is characterised in that the connecting elements (8) are located strictly in the cuts (7.1) of the load-bearing structure (7) at the depth g, equal to height h of the connecting elements (8) and at the same time less than half of the height H of the load-bearing elements (7), while to the bottom of the weighing platform at least two profile panels (3) are fixed, with openings (10) for the screw connectors (6), to which panels (3) the measurement elements (4) and regulated feet (5) are fixed.

An axle load measuring apparatus includes a displacement calculator, a storage, and an axle load calculator. The displacement calculator detects displacements of positions on a road caused by an axle load using a captured image of the road and a vehicle thereon. When a certain amount of load is applied to a predetermined position of the road, the storage stores a displacement function representing shape information of a spatial distribution of a displacement of the road originated from the predetermined position. The axle load calculator calculates the axle load based on the displacements of the positions and the displacement function.

An axle load measuring apparatus includes a displacement calculator, a storage, and an axle load calculator. The displacement calculator detects displacements of positions on a road caused by an axle load using a captured image of the road and a vehicle thereon. When a certain amount of load is applied to a predetermined position of the road, the storage stores a displacement function representing shape information of a spatial distribution of a displacement of the road originated from the predetermined position. The axle load calculator calculates the axle load based on the displacements of the positions and the displacement function.

A measurement apparatus includes a first sensor, scanner head, and computing device coupled to the first sensor that stores relative signal level ranges at selected spectral marker region(s) compared to a common region each corresponding to a composite sheet material grade and an associated sensor calibration. The computing device measures a first signal in the spectral marker region and a second signal in the common region of a composite sheet including a sheet material and a high-z material, determining a current relative signal level comparing a current signal level of the first and second signal, and identifying a current composite sheet material grade for the composite sheet from the composite material grades using the current relative signal level. Based on the current composite material grade a current sensor calibration is chosen from the sensor calibrations, and 1 physical parameter for the composite sheet is determined from the current sensor calibration.

A measurement apparatus includes a first sensor, scanner head, and computing device coupled to the first sensor that stores relative signal level ranges at selected spectral marker region(s) compared to a common region each corresponding to a composite sheet material grade and an associated sensor calibration. The computing device measures a first signal in the spectral marker region and a second signal in the common region of a composite sheet including a sheet material and a high-z material, determining a current relative signal level comparing a current signal level of the first and second signal, and identifying a current composite sheet material grade for the composite sheet from the composite material grades using the current relative signal level. Based on the current composite material grade a current sensor calibration is chosen from the sensor calibrations, and 1 physical parameter for the composite sheet is determined from the current sensor calibration.

A measurement apparatus includes a first sensor, scanner head, and computing device coupled to the first sensor that stores relative signal level ranges at selected spectral marker region(s) compared to a common region each corresponding to a composite sheet material grade and an associated sensor calibration. The computing device measures a first signal in the spectral marker region and a second signal in the common region of a composite sheet including a sheet material and a high-z material, determining a current relative signal level comparing a current signal level of the first and second signal, and identifying a current composite sheet material grade for the composite sheet from the composite material grades using the current relative signal level. Based on the current composite material grade a current sensor calibration is chosen from the sensor calibrations, and 1 physical parameter for the composite sheet is determined from the current sensor calibration.

A measurement apparatus includes a first sensor, scanner head, and computing device coupled to the first sensor that stores relative signal level ranges at selected spectral marker region(s) compared to a common region each corresponding to a composite sheet material grade and an associated sensor calibration. The computing device measures a first signal in the spectral marker region and a second signal in the common region of a composite sheet including a sheet material and a high-z material, determining a current relative signal level comparing a current signal level of the first and second signal, and identifying a current composite sheet material grade for the composite sheet from the composite material grades using the current relative signal level. Based on the current composite material grade a current sensor calibration is chosen from the sensor calibrations, and 1 physical parameter for the composite sheet is determined from the current sensor calibration.

A measurement apparatus includes a beta gauge for generating a first sensor response signal from a composite sheet including a sheet material having a coating thereon including a high-z material or the sheet material has particles including the high-z material embedded in the sheet material. A second sensor being an x-ray or an infrared (IR) sensor provides a second sensor response signal from the composite sheet. A computing device is coupled to receive the first and the second sensor response signal that includes a processor having an associated memory for implementing an algorithm that uses the first and the second sensor response signal to simultaneously compute two or more weight measures selected from (i) a weight per unit area of the high-z material, (ii) a weight per unit area of the sheet material, and (iii) a total weight per unit area of the composite sheet.