An example wear detection system receives a plurality of images from a plurality of sensors associated with a work machine. Individual sensors of the plurality of sensors have respective fields-of-view different from other sensors of the plurality of sensors. The wear detection system identifies a first region of interest and second region of interest associated with the at least one GET. The wear detection system determines a first set of image points and a second set of images points for the at least one GET based on geometric parameters associated with the GET. The wear detection system determines a wear level or loss for the at least one GET based on the GET measurement.

An example wear detection system receives a plurality of images from a plurality of sensors associated with a work machine. Individual sensors of the plurality of sensors have respective fields-of-view different from other sensors of the plurality of sensors. The wear detection system identifies a first region of interest and second region of interest associated with the at least one GET. The wear detection system determines a first set of image points and a second set of images points for the at least one GET based on geometric parameters associated with the GET. The wear detection system determines a wear level or loss for the at least one GET based on the GET measurement.

An endoscopic vessel harvesting system for surgical removal of a blood vessel to be used for coronary bypass uses endoscopic instruments for isolating and severing the vessel. An endoscopic camera in the endoscopic instruments captures images from a distal tip of the instrument within a dissected tunnel around the vessel. An image processor assembles a three-dimensional model of the tunnel from a series of images captured by the endoscopic camera. An augmented-reality display coupled to the image processor renders (e.g., visibly displays to the user in their field of view) a consolidated map representing the three-dimensional model along with a marker in association with the map indicating a current location of the distal tip.

An endoscopic vessel harvesting system for surgical removal of a blood vessel to be used for coronary bypass uses endoscopic instruments for isolating and severing the vessel. An endoscopic camera in the endoscopic instruments captures images from a distal tip of the instrument within a dissected tunnel around the vessel. An image processor assembles a three-dimensional model of the tunnel from a series of images captured by the endoscopic camera. An augmented-reality display coupled to the image processor renders (e.g., visibly displays to the user in their field of view) a consolidated map representing the three-dimensional model along with a marker in association with the map indicating a current location of the distal tip.

A method for determining authenticity of a document in real-time is disclosed. The method being performed by a processor includes receiving image data of a document. The image data corresponds to at least two images of the document taken simultaneously using at least two cameras. The method includes analyzing the image data to determine a plurality of measurements corresponding to the document along three dimensions. The method includes a thickness at a plurality of location points on the document based on the plurality of measurements, and determining authenticity of the document in real-time based on the determined thickness of the document at the plurality of location points.

A method for determining authenticity of a document in real-time is disclosed. The method being performed by a processor includes receiving image data of a document. The image data corresponds to at least two images of the document taken simultaneously using at least two cameras. The method includes analyzing the image data to determine a plurality of measurements corresponding to the document along three dimensions. The method includes a thickness at a plurality of location points on the document based on the plurality of measurements, and determining authenticity of the document in real-time based on the determined thickness of the document at the plurality of location points.

Erroneous detection due to erroneous parallax measurement is suppressed to accurately detect a step present on a road. An in-vehicle environment recognition device 1 includes a processing device that processes a pair of images acquired by a stereo camera unit 100 mounted on a vehicle. The processing device includes a stereo matching unit 200 that measures a parallax of the pair of images and generates a parallax image, a step candidate extraction unit 300 that extracts a step candidate of a road on which the vehicle travels from the parallax image generated by the stereo matching unit 200, a line segment candidate extraction unit 400 that extracts a line segment candidate from the images acquired by the stereo camera unit 100, an analysis unit 500 that performs collation between the step candidate extracted by the step candidate extraction unit 300 and the line segment candidate extracted by the line segment candidate extraction unit 400 and analyzes validity of the step candidate based on the collation result and an inclination of the line segment candidate, and a three-dimensional object detection unit 600 that detects a step present on the road based on the analysis result of the analysis unit 500.

An example wear detection system receives first image data related to at least one ground engaging tool (GET) of a work machine from one or more sensors at a first time instance in a dig-dump cycle of the work machine. The wear detection system processes the first image data to determine a first wear measurement and first wear level for the at least one GET. The wear detection system determines whether the first wear level is indicative of a GET replacement condition. The wear detection system generates an alert when the first wear level is indicative of the GET replacement condition. The wear detection system receives second image data related to the at least one GET a second time instance different from the first time instance when the first wear level is not indicative of the GET replacement condition and determines a second wear measurement and second wear level for the at least one GET. The wear detection system generates an alert indicative of the first wear level and the second wear level based on determining that the first wear level and the second wear level are indicative of the GET replacement condition.

An example wear detection system receives first image data related to at least one ground engaging tool (GET) of a work machine from one or more sensors at a first time instance in a dig-dump cycle of the work machine. The wear detection system processes the first image data to determine a first wear measurement and first wear level for the at least one GET. The wear detection system determines whether the first wear level is indicative of a GET replacement condition. The wear detection system generates an alert when the first wear level is indicative of the GET replacement condition. The wear detection system receives second image data related to the at least one GET a second time instance different from the first time instance when the first wear level is not indicative of the GET replacement condition and determines a second wear measurement and second wear level for the at least one GET. The wear detection system generates an alert indicative of the first wear level and the second wear level based on determining that the first wear level and the second wear level are indicative of the GET replacement condition.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring events using a Virtual Inductive Loop system. In some implementations, image data is obtained from cameras. A region depicted in the obtained image data is identified, the region comprising lines spaced by a distance that satisfies a distance threshold. For each line included in the region: an object depicted crossing the line is determined whether to satisfy a height criteria indicating that the line is activated. In response to determining that an object depicted crossing the line satisfies the height criteria, an event is determined to have likely occurred using data indicating (i) which lines of the lines were activated and (ii) an order in which each of the lines were activated. In response to determining that an event likely occurred, actions are performed using at least some of the data.