The present disclosure is directed to systems and methods for estimating machine rotation state. The rotation state can include the rotation speed and/or angle as the machine rotates. In some implementations, an estimating machine rotation state system can receive image data, timestamped consecutively, from camera devices of a machine. The estimating machine rotation state system can generate optical flow vectors for the pixels of the image data and determine the hue and intensity of the pixels based on the optical flow vectors. Using the hues, intensities, and timestamps of the image data, the estimating machine rotation state system can generate an intensity plot over time. The estimating rotation states system can then determine a rotation speed of the machine based on the intensity plot. The estimating rotation states system can also determine a rotation angle of the machine by integrating the intensity plot over time.

The present disclosure is directed to systems and methods for estimating machine rotation state. The rotation state can include the rotation speed and/or angle as the machine rotates. In some implementations, an estimating machine rotation state system can receive image data, timestamped consecutively, from camera devices of a machine. The estimating machine rotation state system can generate optical flow vectors for the pixels of the image data and determine the hue and intensity of the pixels based on the optical flow vectors. Using the hues, intensities, and timestamps of the image data, the estimating machine rotation state system can generate an intensity plot over time. The estimating rotation states system can then determine a rotation speed of the machine based on the intensity plot. The estimating rotation states system can also determine a rotation angle of the machine by integrating the intensity plot over time.

Measuring speed of a vehicle in a road environment. During calibration, multiple images are captured of a calibration vehicle traveling at a known ground speed. A calibration image feature is located in the image of the calibration vehicle. An optical flow of the calibration image feature is computed to determine a model between an image speed of the calibration image feature and the known ground speed of the calibration vehicle. During speed measurement, multiple images are captured of a target vehicle traveling along a road surface at unknown ground speed. A target image feature may be located in an image of the target vehicle. An image speed may be computed of the target image feature. The model may be applied to determine the ground speed of the target vehicle from the image speed of the target image feature.

Measuring speed of a vehicle in a road environment. During calibration, multiple images are captured of a calibration vehicle traveling at a known ground speed. A calibration image feature is located in the image of the calibration vehicle. An optical flow of the calibration image feature is computed to determine a model between an image speed of the calibration image feature and the known ground speed of the calibration vehicle. During speed measurement, multiple images are captured of a target vehicle traveling along a road surface at unknown ground speed. A target image feature may be located in an image of the target vehicle. An image speed may be computed of the target image feature. The model may be applied to determine the ground speed of the target vehicle from the image speed of the target image feature.

Present embodiments pertain to systems, apparatuses, and methods for analyzing and reporting movements characterized by torsional vibration in mechanical structures, machines, and machine components, through the use of an acquired video recording representing a plurality of cycles of motion, by measuring intensity values of a subset of pixels contained in a region of interest within the video recording in a plurality of frames of the video recording, wherein an application of one or more numerical algorithms to the repeating patterns in the intensity waveform enables the torsional vibration characteristics of the component to be determined.

Present embodiments pertain to systems, apparatuses, and methods for analyzing and reporting movements characterized by torsional vibration in mechanical structures, machines, and machine components, through the use of an acquired video recording representing a plurality of cycles of motion, by measuring intensity values of a subset of pixels contained in a region of interest within the video recording in a plurality of frames of the video recording, wherein an application of one or more numerical algorithms to the repeating patterns in the intensity waveform enables the torsional vibration characteristics of the component to be determined.

A method of using an imaging system including a focal plane with one or more detectors, a lens optically coupled to the focal plane, a transparent plate optically coupled to the focal plane and lens, and an actuator coupled to the transparent plate, includes receiving, at a first area of the focal plane through the lens, light from an object at a first time. The imaging system is located in a first position relative to the object at the first time. The method also includes causing the actuator to move the transparent plate in response to movement of the imaging system relative to the object and receiving, at the first area of the focal plane through the lens, light from the object at a second time. The imaging system is located in a second position relative to the object at the second time.

A method of using an imaging system including a focal plane with one or more detectors, a lens optically coupled to the focal plane, a transparent plate optically coupled to the focal plane and lens, and an actuator coupled to the transparent plate, includes receiving, at a first area of the focal plane through the lens, light from an object at a first time. The imaging system is located in a first position relative to the object at the first time. The method also includes causing the actuator to move the transparent plate in response to movement of the imaging system relative to the object and receiving, at the first area of the focal plane through the lens, light from the object at a second time. The imaging system is located in a second position relative to the object at the second time.

A road surface area detection device includes a normalized speed calculation portion configured to calculate a normalized speed based on a movement of a feature point in an image captured by a camera that is disposed in a vehicle; a determination range calculation portion configured to calculate a road surface determination range, which is indicated by a magnitude of the normalized speed, based on the normalized speeds of at least two feature points at different positions in a width direction of the vehicle in a predetermined central area where the vehicle is positioned in a center thereof in the width direction perpendicular to a vehicle traveling direction; and a road surface area identification portion configured to identify, as a road surface area on which the vehicle travels, a position in the width direction that includes the feature point whose normalized speed is within the road surface determination range.

A road surface area detection device includes a normalized speed calculation portion configured to calculate a normalized speed based on a movement of a feature point in an image captured by a camera that is disposed in a vehicle; a determination range calculation portion configured to calculate a road surface determination range, which is indicated by a magnitude of the normalized speed, based on the normalized speeds of at least two feature points at different positions in a width direction of the vehicle in a predetermined central area where the vehicle is positioned in a center thereof in the width direction perpendicular to a vehicle traveling direction; and a road surface area identification portion configured to identify, as a road surface area on which the vehicle travels, a position in the width direction that includes the feature point whose normalized speed is within the road surface determination range.