Systems and methods for aligning digital image datasets to a computer model of a structure. The system receives a plurality of reference images from an input image dataset and identifies common ground control points (“GCPs”) in the reference images. The system then calculates virtual three-dimensional (“3D”) coordinates of the measured GCPs. Next, the system calculates and projects two-dimensional (“2D”) image coordinates of the virtual 3D coordinates into all of the images. Finally, using the projected 2D image coordinates, the system performs spatial resection of all of the images in order to rapidly align all of the images.

Systems and methods for aligning digital image datasets to a computer model of a structure. The system receives a plurality of reference images from an input image dataset and identifies common ground control points (“GCPs”) in the reference images. The system then calculates virtual three-dimensional (“3D”) coordinates of the measured GCPs. Next, the system calculates and projects two-dimensional (“2D”) image coordinates of the virtual 3D coordinates into all of the images. Finally, using the projected 2D image coordinates, the system performs spatial resection of all of the images in order to rapidly align all of the images.

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.

Systems and methods related to an image capture process using ring paths may include traversing a user device around a ring path in a center of a room, capturing imaging data using the user device during the traversal, and processing the imaging data using photogrammetry. The imaging data may be captured using an imaging sensor associated with the user device, and the imaging data may be processed based on data received from position and orientation sensors associated with the user device. In addition, a three-dimensional model of the room may be generated based on the imaging data.

Systems and methods related to an image capture process using ring paths may include traversing a user device around a ring path in a center of a room, capturing imaging data using the user device during the traversal, and processing the imaging data using photogrammetry. The imaging data may be captured using an imaging sensor associated with the user device, and the imaging data may be processed based on data received from position and orientation sensors associated with the user device. In addition, a three-dimensional model of the room may be generated based on the imaging data.

Embodiments herein relate to fenestration replacement measuring systems and fenestration receiving aperture measuring systems. In a first aspect, a fenestration replacement measuring system is included having a control circuit, and a solid object sensor, wherein the solid object sensor can be in electrical communication with the control circuit. The fenestration replacement measuring system can be configured to detect physical features of an existing fenestration unit using data from the solid object sensor, measure one or more dimensions of the existing fenestration unit using the physical features, and estimate one or more dimensions needed for fenestration replacement using the measured dimensions. Other embodiments are also included herein.

Embodiments herein relate to fenestration replacement measuring systems and fenestration receiving aperture measuring systems. In a first aspect, a fenestration replacement measuring system is included having a control circuit, and a solid object sensor, wherein the solid object sensor can be in electrical communication with the control circuit. The fenestration replacement measuring system can be configured to detect physical features of an existing fenestration unit using data from the solid object sensor, measure one or more dimensions of the existing fenestration unit using the physical features, and estimate one or more dimensions needed for fenestration replacement using the measured dimensions. Other embodiments are also included herein.

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.

Systems and methods for aligning digital image datasets to a computer model of a structure. The system receives a plurality of reference images from an input image dataset and identifies common ground control points (GCPs) in the reference images. The system then calculates virtual three-dimensional (3D) coordinates of the measured GCPs. Next, the system calculates and projects two-dimensional (2D) image coordinates of the virtual 3D coordinates into all of the images. Finally, using the projected 2D image coordinates, the system performs spatial resection of all of the images in order to rapidly align all of the images.