Described herein are a system and a method for object recognition via a computer vision application, the system including at least the following components: an object to be recognized, the object having object specific reflectance and luminescence spectral patterns, a light source which is configured to project at least one light pattern on a scene which includes the object to be recognized, a sensor which is configured to measure radiance data of the scene including the object when the scene is illuminated by the light source, a data storage unit which includes luminescence spectral patterns together with appropriately assigned respective objects, and a data processing unit.

Described herein are a system and a method for object recognition via a computer vision application, the system including at least the following components: an object to be recognized, the object having object specific reflectance and luminescence spectral patterns, a light source which is configured to project at least one light pattern on a scene which includes the object to be recognized, a sensor which is configured to measure radiance data of the scene including the object when the scene is illuminated by the light source, a data storage unit which includes luminescence spectral patterns together with appropriately assigned respective objects, and a data processing unit.

Methods and systems for agricultural monitoring are disclosed. The methods and systems include: projecting, by a light source, a coherent light output on at least a part of a plant material; acquiring, by an imaging device, one or more speckle images based on the coherent light output backscattered by at least the part of the plant material; providing the one or more speckle images to a trained machine learning algorithm; identifying one or more healthy status indications of at least the part of the plant material based on one or more outputs from the trained machine learning algorithm, the one or more outputs corresponding to the one or more speckle images; and providing plant health information based on the healthy status indication. Other aspects, embodiments, and features are also claimed and described.

Methods and systems for agricultural monitoring are disclosed. The methods and systems include: projecting, by a light source, a coherent light output on at least a part of a plant material; acquiring, by an imaging device, one or more speckle images based on the coherent light output backscattered by at least the part of the plant material; providing the one or more speckle images to a trained machine learning algorithm; identifying one or more healthy status indications of at least the part of the plant material based on one or more outputs from the trained machine learning algorithm, the one or more outputs corresponding to the one or more speckle images; and providing plant health information based on the healthy status indication. Other aspects, embodiments, and features are also claimed and described.

A measuring system for acquiring three-dimensional measuring points, comprising a base unit, a support unit mounted on the base unit and rotatable relative to the base unit around an azimuth axis, an emitting unit, a receiving unit, a directing unit mounted in the support unit, and configured for directing a transmission beam from the emitting unit towards a scene, directing a reception beam from the scene to the receiving unit, a first actuator configured for rotating the support unit relative to the base unit around the azimuth axis, a second actuator configured for rotating the directing unit relative to the support unit around the elevation axis, a first angle encoder configured for measuring a rotatory position of the support unit, a second angle encoder configured for measuring a rotatory position of the directing unit, a camera comprising an image sensor.

An apparatus includes a sensor module. The sensor module includes an electromagnetic radiation sensor configured to provide electromagnetic radiation sensor data. The sensor module further includes a coded mask configured to modulate electromagnetic radiation incident to the electromagnetic radiation sensor and from which the electromagnetic radiation sensor data is generated. The apparatus further includes a computation module configured to obtain the electromagnetic radiation sensor data from the electromagnetic radiation sensor. The computation module is further configured to detect a property from the electromagnetic radiation sensor data using an artificial neural network. The computation module is further configured to output information related to the detected property via an output.

An apparatus includes a sensor module. The sensor module includes an electromagnetic radiation sensor configured to provide electromagnetic radiation sensor data. The sensor module further includes a coded mask configured to modulate electromagnetic radiation incident to the electromagnetic radiation sensor and from which the electromagnetic radiation sensor data is generated. The apparatus further includes a computation module configured to obtain the electromagnetic radiation sensor data from the electromagnetic radiation sensor. The computation module is further configured to detect a property from the electromagnetic radiation sensor data using an artificial neural network. The computation module is further configured to output information related to the detected property via an output.

A method of manufacturing an electronic module includes providing a base substrate having a first surface, providing a first supporting element having a first portion with an inclined top surface, and affixing the first supporting element to the first surface such that the inclined top surface is inclined with respect to the base substrate. A first reflector is coupled to the inclined top surface such that a rear surface of the first reflector is in physical contact with the inclined top surface of the first portion of the first supporting element, and a spacer structure is configured to form an interface for mounting lateral walls to the base substrate. A cap is positioned over and supported by the lateral walls to thereby define a chamber. The emitter, as well as a detector, are coupled to the first surface of the base substrate.

A method of manufacturing an electronic module includes providing a base substrate having a first surface, providing a first supporting element having a first portion with an inclined top surface, and affixing the first supporting element to the first surface such that the inclined top surface is inclined with respect to the base substrate. A first reflector is coupled to the inclined top surface such that a rear surface of the first reflector is in physical contact with the inclined top surface of the first portion of the first supporting element, and a spacer structure is configured to form an interface for mounting lateral walls to the base substrate. A cap is positioned over and supported by the lateral walls to thereby define a chamber. The emitter, as well as a detector, are coupled to the first surface of the base substrate.

The present disclosure describes a method, an apparatus, and a storage medium for recognizing an obstacle. The method includes acquiring, by a device, point cloud data obtained by scanning surroundings of a target vehicle by a sensor in the target vehicle. The device includes a memory storing instructions and a processor in communication with the memory. The method further includes converting, by the device, the point cloud data into a first image used for showing the surroundings; and recognizing, by the device, from the first image, a first object in the surroundings as an obstacle through a first neural network model.