A vehicular control system includes a forward viewing camera disposed at an in-cabin side of a windshield of a vehicle and viewing forward of the vehicle. Road curvature of a road along which the vehicle is traveling is determined responsive at least in part to processing of image data captured by the camera. Responsive at least in part to processing of captured image data, speed of the vehicle is controlled by an adaptive cruise control system of the vehicle. Upon approach of the vehicle to a curve in the road along which the vehicle is traveling, speed of the vehicle is reduced by the adaptive cruise control system to a reduced speed for traveling around the curve in the road. Speed of the vehicle is increased by the adaptive cruise control system when the vehicle is traveling along a straighter section of road after the curve in the road.

A vehicular control system includes a forward viewing camera disposed at an in-cabin side of a windshield of a vehicle and viewing forward of the vehicle. Road curvature of a road along which the vehicle is traveling is determined responsive at least in part to processing of image data captured by the camera. Responsive at least in part to processing of captured image data, speed of the vehicle is controlled by an adaptive cruise control system of the vehicle. Upon approach of the vehicle to a curve in the road along which the vehicle is traveling, speed of the vehicle is reduced by the adaptive cruise control system to a reduced speed for traveling around the curve in the road. Speed of the vehicle is increased by the adaptive cruise control system when the vehicle is traveling along a straighter section of road after the curve in the road.

Systems and methods for profiling a pallet in a warehouse can include a turntable that rotates the pallet, conveyor belts that move the pallet, and a vertical profiling structure, having cameras mounted at different locations, in a stationary position proximate to a side of the turntable. A photo booth can also be used to provide uniform lighting. A computing system can instruct a conveyor belt to automatically route the pallet onto the turntable, instruct the cameras to capture image data of the pallet as it rotates on the turntable, receive the image data, and retrieve image-based models of the pallet that were trained using images of pallets having unique identifiers. The computing system can determine, based on applying the image-based models to the image data, whether the pallet's unique identifier is identifiable, and transmit, to a warehouse management system, a notification indicating whether the unique identifier is identifiable.

A system for making a holographic medium for use in generating light patterns for eye tracking includes a light source configured to provide light and a beam splitter configured to separate the light into a first portion of the light and a second portion of the light that is spatially separated from the first portion of the light. The system also includes a first set of optical elements configured to transmit the first portion of the light for providing a first wide-field beam onto an optically recordable medium and one or more diffractive optical elements configured to receive the second portion of the light and project a plurality of separate light patterns onto the optically recordable medium for forming the holographic medium.

A foldable electronic device has a foldable region and includes a supporting film including a recess portion in the foldable region, a flexible substrate disposed on the supporting film, a control unit disposed under the supporting film, and a biometric sensing structure electrically connected to the control unit.

Provided are an optical device which is capable of optically implementing an activation function of an artificial neural network and an optical neural network apparatus which includes the optical device. The optical device may include: a beam splitter splitting incident light into first light and second light; an image sensor disposed to sense the first light; an optical shutter configured to transmit or block the second light; and a controller controlling operations of the optical shutter, based on an intensity of the first light measured by the image sensor.

Provided are an optical device which is capable of optically implementing an activation function of an artificial neural network and an optical neural network apparatus which includes the optical device. The optical device may include: a beam splitter splitting incident light into first light and second light; an image sensor disposed to sense the first light; an optical shutter configured to transmit or block the second light; and a controller controlling operations of the optical shutter, based on an intensity of the first light measured by the image sensor.

A sensing device includes a plurality of sensing sets having a plurality of lenses and a plurality of sensing units. The sensing units are configured to collect reflected light which pass through the lenses. Each sensing set adopts a structure which includes one sensing unit and multiple lenses for providing fingerprint sensing with high accuracy.

A sensing device includes a plurality of sensing sets having a plurality of lenses and a plurality of sensing units. The sensing units are configured to collect reflected light which pass through the lenses. Each sensing set adopts a structure which includes one sensing unit and multiple lenses for providing fingerprint sensing with high accuracy.

Systems and methods for dynamic radiometric thermal imaging compensation. The method includes analyzing a visible light image to determine an emissivity value for each of a plurality of visible light pixels making up the visible light image. The method includes associating each of the plurality of thermal pixels making up a thermal image corresponding to the visible light image with at least one of the plurality of visible light pixels making up the visible light image. The method includes generating a second thermal image by, for each of the plurality of thermal pixels making up the thermal image, determining a temperature value based on the thermal pixel value of the thermal pixel and the emissivity value of the at least one of the plurality of visible light pixels associated with the thermal pixel.