A dual mode ladar system includes a laser transmitter having a wavelength of operation and a modulator connected thereto to impose a modulation thereon. The modulator is configured to impose amplitude modulation and/or frequency modulation. Diffusing optics illuminate a field of view and an array of light sensitive detectors each produce an electrical response signal from a reflected portion of the laser light output.

A dual mode ladar system includes a laser transmitter having a wavelength of operation and a modulator connected thereto to impose a modulation thereon. The modulator is configured to impose amplitude modulation and/or frequency modulation. Diffusing optics illuminate a field of view and an array of light sensitive detectors each produce an electrical response signal from a reflected portion of the laser light output.

A system configured to receive video and/or images from an image capture device over a livestock path, generate feature maps from an image of the video by applying at least a first convolutional neural network, slide a window across the feature maps to obtain a plurality of anchor shapes, determine if each anchor shape contains an object to generate a plurality of regions of interest, each of the plurality of regions of interest being a non-rectangular, polygonal shape, extract feature maps from each region of interest, classify objects in each region of interest, in parallel with classification, predict segmentation masks on at least a subset of the regions of interest in a pixel-to-pixel manner, identify individual animals within the objects based on classifications and the segmentation masks, and count individual animals based on identification, and provide the count to a digital device for display, processing, and/or reporting.

A system configured to receive video and/or images from an image capture device over a livestock path, generate feature maps from an image of the video by applying at least a first convolutional neural network, slide a window across the feature maps to obtain a plurality of anchor shapes, determine if each anchor shape contains an object to generate a plurality of regions of interest, each of the plurality of regions of interest being a non-rectangular, polygonal shape, extract feature maps from each region of interest, classify objects in each region of interest, in parallel with classification, predict segmentation masks on at least a subset of the regions of interest in a pixel-to-pixel manner, identify individual animals within the objects based on classifications and the segmentation masks, and count individual animals based on identification, and provide the count to a digital device for display, processing, and/or reporting.

The present disclosure provides a range-finding system capable of data communication. The range-finding system includes a rangefinder for acquiring ranging data, a magnetic ring unit having at least two communication channels, and a data processing and control unit. Each communication channel includes a magnetic ring. The magnetic ring unit transmits the ranging data as downlink data from the rangefinder to the data processing and control unit via one or more of the communication channels.

The present disclosure provides a range-finding system capable of data communication. The range-finding system includes a rangefinder for acquiring ranging data, a magnetic ring unit having at least two communication channels, and a data processing and control unit. Each communication channel includes a magnetic ring. The magnetic ring unit transmits the ranging data as downlink data from the rangefinder to the data processing and control unit via one or more of the communication channels.

The present disclosure may provide an auto-teaching method and apparatus using a distance measuring sensor a semiconductor manufacturing facility having a transfer robot including the same, and a substrate processing apparatus including a test substrate according to an embodiment of the present disclosure, may include: a test substrate connected to a robot arm and entering a processing apparatus in a first predetermined direction; a distance measuring sensor connected to the test substrate, and measuring a distance from the processing apparatus in the first direction while scanning the processing apparatus in a predetermined second direction; and a position control unit determining a region in which a substrate may enter the processing apparatus in the second direction, based on predetermined processing apparatus-related information and a measured result of the distance measuring sensor.

An apparatus, product monitoring system, and a method of measuring an amount of product on a roller are provided. The method includes receiving a first position distance between a position sensor and an exterior edge of the roller. The method also includes comparing the first position distance with a predetermined position distance. The predetermined position distance defines the distance between the position sensor and the exterior edge of the roller at a specific amount of product left on the roller. The method further includes determining the amount of product left on the roller based on the comparison of the first position distance and the predetermined position distance. The method still further includes causing the transmission of a signal relating to the amount of product left on the roller.

The present technology provides systems, methods, and devices that can update aspects of a map as an autonomous vehicle navigates a route, and therefore avoids the need for dispatching a special purpose mapping vehicle for these updates. As the autonomous vehicle navigates the route, data captured by at least one sensor of an autonomous vehicle can indicate an inconsistency between pre-mapped from a high-resolution sensor system describing a location on a map, and current data describing a new feature of the location. The current data can be clustered together based on a threshold spatial closeness, where the clustering describes the new feature, and semantic labels of the pre-mapped data from the high-resolution sensor system can be updated based on the new feature described by the clustered current data.

The present technology provides systems, methods, and devices that can update aspects of a map as an autonomous vehicle navigates a route, and therefore avoids the need for dispatching a special purpose mapping vehicle for these updates. As the autonomous vehicle navigates the route, data captured by at least one sensor of an autonomous vehicle can indicate an inconsistency between pre-mapped from a high-resolution sensor system describing a location on a map, and current data describing a new feature of the location. The current data can be clustered together based on a threshold spatial closeness, where the clustering describes the new feature, and semantic labels of the pre-mapped data from the high-resolution sensor system can be updated based on the new feature described by the clustered current data.