A system comprises a set of sensors on a first end of a vehicle having the first end and a second end, and a controller. The sensors are configured to generate corresponding sensor data based on a detected object along a direction of movement of the vehicle. The controller is configured to compare a time at which the first sensor detected the object with a time at which the second sensor detected the object to identify the first end or the second end as a leading end of the vehicle, and to calculate a position of the leading end of the vehicle based on the sensor data generated by one or more of the first sensor or the second sensor. The controller is also configured to generate a map of the plurality of objects based on the sensor data.

A system comprises a set of sensors on a first end of a vehicle having the first end and a second end, and a controller. The sensors are configured to generate corresponding sensor data based on a detected object along a direction of movement of the vehicle. The controller is configured to compare a time at which the first sensor detected the object with a time at which the second sensor detected the object to identify the first end or the second end as a leading end of the vehicle, and to calculate a position of the leading end of the vehicle based on the sensor data generated by one or more of the first sensor or the second sensor. The controller is also configured to generate a map of the plurality of objects based on the sensor data.

Inspection devices and methods for inspecting an adhesive pattern on a substrate are disclosed. The inspection device includes at least one sensor having a heat sensor head for detecting a pattern of the adhesive bead, and a controller. Reference data representing a desired adhesive pattern is initially provided to a controller. A predetermined tolerance range for the desired adhesive pattern is also provided to the controller. An adhesive bead is discharged onto a substrate from a nozzle. A pattern of the discharged adhesive bead is then detected by the sensor when the substrate moves. Signals representing the detected pattern are received from the sensor at the controller. Finally, the signals representing the detected adhesive pattern are compared to the tolerance range of the desired adhesive pattern.

Embodiments of the present disclosure relate generally to systems and methods of measuring speed and, more particularly, to systems and methods of measuring gait speed using a plurality of sensors. The systems described herein may include sensing units comprising one or more motion sensors for detecting a patient walking along a testing distance. In some embodiments, a controller may calculate a gait speed based at least in part on the testing distance and on signals received from the sensors. In some embodiments, an initiation input may be provided to activate the systems. In some embodiments, the initiation input may also provide a target to which a patient can walk.

Embodiments of the present disclosure relate generally to systems and methods of measuring speed and, more particularly, to systems and methods of measuring gait speed using a plurality of sensors. The systems described herein may include sensing units comprising one or more motion sensors for detecting a patient walking along a testing distance. In some embodiments, a controller may calculate a gait speed based at least in part on the testing distance and on signals received from the sensors. In some embodiments, an initiation input may be provided to activate the systems. In some embodiments, the initiation input may also provide a target to which a patient can walk.

Embodiments disclose systems and methods to measure concrete mixer truck drum rotation. A camera (e.g., a video camera or Infra-Red (“IR”) camera) may capture images of a surface of a concrete mixer truck drum. A drum rotation measurement platform may receive the images of the surface of a concrete mixer truck drum captured by the camera and automatically analyze the captured images using machine learning technology to determine drum rotation information (e.g., a drum rotation speed and/or drum rotation direction). The drum rotation measurement platform may then output an indication of the determined drum rotation information. In some embodiments, the surface of the concrete mixer truck drum may include one or more marking symbols (e.g., of various shapes), and the automatic analysis performed by the drum rotation measurement platform includes detection of movement of the marking symbol between captured images.

A method for determining a corrected axial displacement parameter of a conduit inspection tool, in particular a downhole inspection tool, during transit of the tool axially along a conduit is disclosed. The tool used in the method has an imaging device and may be attached to a control module with a connecting line. The method comprises obtaining successive axially overlapping images of an internal wall of the conduit, determining, from the images, an observed axial displacement parameter of the tool as a function of transit time, identifying, in the images, a plurality of reference points, determining an estimated axial displacement parameter of the tool over an of transit time between successive reference points, and computing the corrected axial displacement parameter of the tool by applying a correction factor to the observed axial velocity of the tool.

A method for determining a corrected axial displacement parameter of a conduit inspection tool, in particular a downhole inspection tool, during transit of the tool axially along a conduit is disclosed. The tool used in the method has an imaging device and may be attached to a control module with a connecting line. The method comprises obtaining successive axially overlapping images of an internal wall of the conduit, determining, from the images, an observed axial displacement parameter of the tool as a function of transit time, identifying, in the images, a plurality of reference points, determining an estimated axial displacement parameter of the tool over an of transit time between successive reference points, and computing the corrected axial displacement parameter of the tool by applying a correction factor to the observed axial velocity of the tool.

Provided are a solid-state imaging device capable of dynamically changing a measurable range of acceleration to accurately measure acceleration, and a method of controlling the solid-state imaging device.

A solid-state imaging device according to the present disclosure is a solid-state imaging device disposed on a mobile body, the solid-state imaging device including: an imaging section that photoelectrically converts incident light into a charge amount according to a light amount and images a target object; a motion detecting section that calculates a speed of the target object on the basis of a plurality of images imaged by the imaging section; and an inertial measurement section that detects an acceleration or an angular velocity of the mobile body and changes a measurable range of the acceleration or the angular velocity of the mobile body according to the speed of the target object.

A method of measuring objects that are conveyed in a conveying direction comprises the steps that (i) a first object edge of a conveyed object is detected at a first measurement position by means of a first optoelectronic sensor, (ii) the first object edge or a second object edge of the object is detected at a second measurement position, which is spaced apart from the first measurement position in the conveying direction, by means of a second optoelectronic sensor that is spatially resolving at least in the conveying direction, (iii) a time difference between the detection of the first object edge at the first measurement position and the detection of the object edge detected in step (ii) at the second measurement position is determined, (iv) a transit time is determined in which the object edge detected in step (ii) moves through a predetermined measurement path, (v) the object speed is determined based on the transit time and a length of the measurement path, and (vi) the length of the object is determined based on the determined time difference and the determined object speed.