A sensor comprising a light emitter and light detector coupled directly with or formed directly on a lead frame and directly covered and encapsulated by a layer of light transmissive compound. A gap in the light transmissive compound between the light emitter and the light detector wherein in some embodiments the gap can be filled with a light blocking barrier material.

A sensor comprising a light emitter and light detector coupled directly with or formed directly on a lead frame and directly covered and encapsulated by a layer of light transmissive compound. A gap in the light transmissive compound between the light emitter and the light detector wherein in some embodiments the gap can be filled with a light blocking barrier material.

Systems and methods for object detection in a dusty environment can enhance the ability of autonomous machines to distinguish dust clouds from solid obstacles and proceed appropriately. A library of dust classifiers can be provided, where each dust classifier is separately trained to distinguish airborne dust from objects in the environment. Different dust classifiers can correspond to different categories of dusty environments. Based on current conditions, control logic in an autonomous machine can categorize its environment and select a corresponding dust classifier. The dust classifier output can be used to alter a behavior of the autonomous machine, including a behavior of the control logic. For instance, the control logic can apply a consistency check to the output of the dust classifier and an output of an AI-based object classifier to detect instances where the object classifier misidentifies dust as an object.

Systems and methods for object detection in a dusty environment can enhance the ability of autonomous machines to distinguish dust clouds from solid obstacles and proceed appropriately. A library of dust classifiers can be provided, where each dust classifier is separately trained to distinguish airborne dust from objects in the environment. Different dust classifiers can correspond to different categories of dusty environments. Based on current conditions, control logic in an autonomous machine can categorize its environment and select a corresponding dust classifier. The dust classifier output can be used to alter a behavior of the autonomous machine, including a behavior of the control logic. For instance, the control logic can apply a consistency check to the output of the dust classifier and an output of an AI-based object classifier to detect instances where the object classifier misidentifies dust as an object.

A system to determine a position of one or more objects includes a transmitter to emit a beam of photons to sequentially illuminate regions of one or more objects; multiple cameras that are spaced-apart with each camera having an array of pixels to detect photons; and one or more processor devices that execute stored instructions to perform actions of a method, including: directing the transmitter to sequentially illuminate regions of one or more objects with the beam of photons; for each of the regions, receiving, from the cameras, an array position of each pixel that detected photons of the beam reflected or scattered by the region of the one or more objects; and, for each of the regions detected by the cameras, determining a position of the regions using the received array positions of the pixels that detected the photons of the beam reflected or scattered by that region.

A system to determine a position of one or more objects includes a transmitter to emit a beam of photons to sequentially illuminate regions of one or more objects; multiple cameras that are spaced-apart with each camera having an array of pixels to detect photons; and one or more processor devices that execute stored instructions to perform actions of a method, including: directing the transmitter to sequentially illuminate regions of one or more objects with the beam of photons; for each of the regions, receiving, from the cameras, an array position of each pixel that detected photons of the beam reflected or scattered by the region of the one or more objects; and, for each of the regions detected by the cameras, determining a position of the regions using the received array positions of the pixels that detected the photons of the beam reflected or scattered by that region.

A control method of an apparatus is provided. The apparatus includes a control unit coupled to a proximity sensor to detect a first distance of a user in a field of view, and coupled to a charge variation sensor to detect an electric/electrostatic charge variation caused by the user in a detection region. The control method includes acquiring a charge variation signal and generating charge variation parameters as a function of the charge variation signal. The control method further includes determining whether a condition on charge variation parameters is verified, and if the condition on charge variation parameters is verified, activating the proximity sensor and acquiring a proximity signal. Proximity parameters are generated as a function of the proximity signal. If a condition on proximity parameters is verified, one or more functionalities of the apparatus are activated.

A detection method of a user of an apparatus is provided in which the apparatus is coupled to a charge variation sensor having a control unit and an electrode to detect an electric/electrostatic charge variation of the user. The detection method includes acquiring, through the electrode, a charge variation signal indicative of the presence of the user. A filtered signal is generated by filtering the charge variation signal. A feature signal is generated as a function of the filtered signal. A movement signal indicative of a movement of the user is generated as a function of the feature signal. A presence signal indicative of the presence of the user is generated as a function of the movement signal.

A LIDAR device, including a housing, and an emitter device that is situated rotatably about a rotation axis and that is designed in such a way that the measuring beams of the emitter device intersect in the area of an exit aperture of the LIDAR device.

There is provided an image module package including a substrate, a photo sensor chip, a molded transparent layer and a glass filter. The substrate has an upper surface. The photo sensor chip is attached to the upper surface of the substrate and electrically connected to the substrate. The molded transparent layer covers the photo sensor chip and a part of the upper surface of the substrate, wherein a top surface of the molded transparent layer is formed with a receptacle opposite to the photo sensor chip. The glass filter is accommodated in the receptacle.