Introduced here computer programs and associated computer-implemented techniques for generating measurements of physical structures and environments in an automated matter through analysis of data that is generated by one or more sensors included in a computing device. This can be accomplished by combining insights that are derived through analysis different types of data that are generated, computed, or otherwise obtained by a computing device. For instance, a computer program may enable or facilitate measurement of arbitrary dimensions, angles, and square footage of a physical structure based on (i) images generated by an image sensor included in the corresponding computing device and (ii) measurements generated by an inertial sensor included in the corresponding computing device.

Examples of the disclosure describe systems and methods for identifying, quantifying, and/or characterizing plant stomata. In an example method, a first set of two or more images of a plant leaf representing two or more focal distances is captured via an optical sensor. A reference focal distance is determined based on the first set of images. A second set of two or more images of the plant leaf is captured via the optical sensor, including at least one image captured at a focal distance less than the reference focal distance, and at least one image captured at a focal distance greater than the reference focal distance. A composite image is generated based on the second set of images. The composite image is provided to a trainable feature detector in order to determine a number, density, and/or distribution of stomata in the composite image.

An ECU includes a memory including computer executable instructions for monitoring the condition of a ground engaging tool, and a processor coupled to the memory and configured to execute the computer executable instructions, the computer executable instructions when executed by the processor cause the processor to: acquire an image of the ground engaging tool, evaluate the image using an algorithm that compares the acquired image to a database of existing images to determine the damage, the amount of wear, or the absence of the ground engaging tool, and grade the quality of the acquired image.

An ECU includes a memory including computer executable instructions for monitoring the condition of a ground engaging tool, and a processor coupled to the memory and configured to execute the computer executable instructions, the computer executable instructions when executed by the processor cause the processor to: acquire an image of the ground engaging tool, evaluate the image using an algorithm that compares the acquired image to a database of existing images to determine the damage, the amount of wear, or the absence of the ground engaging tool, and grade the quality of the acquired image.

The invention is a method of geo-positioning geographic data for visualisation of a geographic area, particularly a mine site, and a device to work the method. The method includes the steps of: importing two or more data sources having geographic data of the geographic area; selecting a first control in a first data source of the two or more data sources and the same first control in a second data source of the two or more data sources; selecting a second control in the first data source and the same second control in the second data source; and applying an algorithm in a processor to process the first control in the first data source, the first control in the second data source, the second control in the first data source and the second control in the second data source by overlaying, rotating and scaling the data sources until at least the first control in the first data source matches the first control in the second data source and the second control in the first data source matches the second control in the second data source.

The invention is a method of geo-positioning geographic data for visualisation of a geographic area, particularly a mine site, and a device to work the method. The method includes the steps of: importing two or more data sources having geographic data of the geographic area; selecting a first control in a first data source of the two or more data sources and the same first control in a second data source of the two or more data sources; selecting a second control in the first data source and the same second control in the second data source; and applying an algorithm in a processor to process the first control in the first data source, the first control in the second data source, the second control in the first data source and the second control in the second data source by overlaying, rotating and scaling the data sources until at least the first control in the first data source matches the first control in the second data source and the second control in the first data source matches the second control in the second data source.

There is provided a surveying instrument including a distance measuring unit configured to measure a distance to an object to be measured, a measuring direction image pickup module which includes the object to be measured and is configured to acquire as observation image, an attitude detector is configured to detect a tilt of the surveying instrument main body and a arithmetic control module, and wherein the arithmetic control module is configured to extract each common corresponding point from a first image acquired at a first installing point and a second image acquired at a second installing point, perform the matching based on the corresponding point, and make a measurement of a positional relationship of the object to be measured with respect to the first installing point and the second installing point based on a matching image.

There is provided a surveying instrument including a distance measuring unit configured to measure a distance to an object to be measured, a measuring direction image pickup module which includes the object to be measured and is configured to acquire as observation image, an attitude detector is configured to detect a tilt of the surveying instrument main body and a arithmetic control module, and wherein the arithmetic control module is configured to extract each common corresponding point from a first image acquired at a first installing point and a second image acquired at a second installing point, perform the matching based on the corresponding point, and make a measurement of a positional relationship of the object to be measured with respect to the first installing point and the second installing point based on a matching image.

Introduced here computer programs and associated computer-implemented techniques for generating measurements of physical structures and environments in an automated matter through analysis of data that is generated by one or more sensors included in a computing device. This can be accomplished by combining insights that are derived through analysis different types of data that are generated, computed, or otherwise obtained by a computing device. For instance, a computer program may enable or facilitate measurement of arbitrary dimensions, angles, and square footage of a physical structure based on (i) images generated by an image sensor included in the corresponding computing device and (ii) measurements generated by an inertial sensor included in the corresponding computing device.

A distance determination system for a microscope system for coarse focus setting includes a sample stage with a placement surface for holding a displaceable sample carrier, an overview camera with a non-telecentric objective for producing digital images, directed at the sample stage, and an evaluation unit, which includes a storage system storing at least two recorded digital images of the sample stage at different viewing angles, a trained machine-learning-based system for identifying corresponding structures of a sample carrier in the sample stage in the two recorded digital images and a distance determination unit, which determines the distance of a reference point of the sample carrier from a reference point of the overview camera based on the different viewing angles onto the sample stage, a pixel distance of the two recorded digital images with respect to one another using the associated corresponding structures contained in the recorded images.