An underwater organism imaging aid system according to an aspect of the present disclosure includes, at least one memory configured to store instructions, and at least one processor configured to execute the instructions to: detect an underwater organism from an image acquired by a camera, determine a positional relationship between the underwater organism detected and the camera, and output auxiliary information for moving the camera in such a way that a side face of the underwater organism and an imaging face of the camera face each other based on the positional relationship.

An underwater organism imaging aid system according to an aspect of the present disclosure includes, at least one memory configured to store instructions, and at least one processor configured to execute the instructions to: detect an underwater organism from an image acquired by a camera, determine a positional relationship between the underwater organism detected and the camera, and output auxiliary information for moving the camera in such a way that a side face of the underwater organism and an imaging face of the camera face each other based on the positional relationship.

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.

An acquisition device for the at least partially automated acquisition of multiple object data sets of at least one object. The acquisition device includes at least one object data acquisition unit for the acquisition of object data, at least one object carrier unit for arranging the object, and at least one reference unit that is at least provided to output, in particular optically output, a reference element for a size classification of the object.

An acquisition device for the at least partially automated acquisition of multiple object data sets of at least one object. The acquisition device includes at least one object data acquisition unit for the acquisition of object data, at least one object carrier unit for arranging the object, and at least one reference unit that is at least provided to output, in particular optically output, a reference element for a size classification of the object.

A bubble measurement system includes a bubble detector including a vessel having a flow path configured to receive a flow of fluid including air bubbles from a bubble generator and an imaging system. The imaging system includes an imaging device for imaging the fluid and air bubbles in the flow path of the vessel of the bubble detector. The imaging system has an imaging controller coupled to the imaging device and receiving images from the imaging device. The imaging controller processes the images to measure bubble size of each air bubble passing through the bubble detector. The imaging controller includes a pairing module comparing successive images and the air bubbles in successive images to measure all bubbles flowing through the vessel.

A shape profile measurement device includes: a light projector and a light receiver arranged facing each other; a belt conveyor for conveying an object for measurement; and a calculation unit. The light projector includes a plurality of light-emitting portions arranged in an array direction, and each emits substantially parallel measurement light. The light receiver includes a plurality of light-receiving portions arranged in the array direction facing the plurality of light-emitting portions, and each receives the measurement light emitted from a corresponding light-emitting portion. The light-receiving portions output a signal indicating a light intensity of the received measurement light. The calculation unit acquires the signal of the light receiver when the object is at a plurality of different movement-direction positions between the light-emitting portions and the light-receiving portions, and obtains a shape profile on the basis of the signal acquired and information relating to the plurality of movement-direction positions.

An encoder apparatus including a reflective scale and a readhead. The readhead includes at least one light emitting element, at least one sensor and at least one optical device, which together with the scale form an optical system in which the optical device forms an image of an illuminated region of the reflective scale onto the sensor. The system's optical path, from the light emitting element to the sensor, passes through the optical device on its way toward and after reflection from the scale. and includes an unreflected optical path between the light emitting element and the optical device and an unreflected optical path between the optical device and the sensor.

A method is provided for controlling a threshing system for an agricultural harvester. The method includes using a camera for obtaining images of a crop flow, processing the obtained images and controlling an operational setting of the threshing system. The images are obtained downstream of the threshing system, preferably somewhere between the threshing rotor or threshing drum and the residue spreader. The image processing aims at detecting grain ears in the obtained images, and to derive from those images at least one physical property of the detected grain ears. The operational setting of the threshing system are controlled in dependence of the derived at least one physical property.

A method is provided for controlling a threshing system for an agricultural harvester. The method includes using a camera for obtaining images of a crop flow, processing the obtained images and controlling an operational setting of the threshing system. The images are obtained downstream of the threshing system, preferably somewhere between the threshing rotor or threshing drum and the residue spreader. The image processing aims at detecting grain ears in the obtained images, and to derive from those images at least one physical property of the detected grain ears. The operational setting of the threshing system are controlled in dependence of the derived at least one physical property.