Provided herein is a system and method that acquires data and determines a driving action based on the data. The system comprises a processor configured to acquire data of nonuniform resolution over a field of view of the sensor, and a controller configured to determine a driving action of a vehicle based on the data, and perform the driving action.

An automotive sensor integration module including a plurality of sensors which differ in at least one of a sensing period or an output data format, and a signal processor, which simultaneously outputs, as sensing data, pieces of detection data respectively output from the plurality of sensors on the basis of the sensing period of any one of the plurality of sensors, calculates a reliability value of each of the pieces of detection data on the basis of the pieces of detection data and external environment data, and outputs the reliability value as reliability data.

A virtual reality device with iris acquisition function, includes a housing having an accommodating space, an observing lens embedded in the housing, a display screen accommodated in the housing and arranged opposite to the observing lens, and at least one iris camera accommodated in the housing. The virtual reality device further includes at least one infrared source accommodated in the housing, the infrared source is arranged on a focal plane of the observing lens and light emitted from the infrared source passes through the observing lens to an iris of a human eye. The iris camera is configured to acquire an iris image of a human eye through the observing lens and the iris camera is arranged at a position which will not interfere a line of sight of the human eye on the infrared source and the display screen.

A method of electronic tolling for a vehicle travelling on a road surface includes providing a single camera or a single array of cameras, arranging the single camera or the single array of cameras to have a field-of-view that is normal to the road surface and is defined by a plane that is parallel with the road surface, and capturing multiple images of the front, side, top and rear of the vehicle using the single camera or the single array of cameras in the field-of-view. The set of multi-perspective images can be used to identify a vehicle by reading the front and rear license plate and to determine a classification of the vehicle. The images may also be used to track the position of the vehicle on the road surface as the vehicle traverses the field-of-view.

An electronic device is provided, the electronic device having a keyboard including a biometric input device. The biometric input device may be a biometric key or button. A cap of a biometric key or button may include a textured ceramic cover, such as a textured sapphire cover. The cap may further include a rear decorative coating and a front antireflective coating disposed on or over the textured ceramic cover. The cap may have one or more visual and or tactile properties which resemble those of an adjacent key of the keyboard.

In one example, an apparatus comprises: an image sensor comprising a plurality of pixel cells; a frame buffer; and a sensor compute circuit configured to: receive, from the frame buffer, a first image frame comprising first active pixels and first inactive pixels, the first active pixels being generated by a first subset of the pixel cells selected based on first programming data; perform an image-processing operation on a first subset of pixels of the first image frame, whereby a second subset of pixels of the first image frame are excluded from the image-processing operation, to generate a processing output; based on the processing output, generate second programming data; and transmit the second programming data to the image sensor to select a second subset of the pixel cells to generate second active pixels for a second image frame.

A system includes a sensor and a client. The client receives a set of frames of top-view depth images generated by the sensor. The client identifies a frame of the received frames in which a first contour associated with a first object is merged with a second contour associated with a second object. The client determines, at a first depth in the identified frame, a merged-contour region which is associated with the merged contours. The client detects a third contour at a second depth that is less than the first depth and determines a first region associated with the third contour. The client detects a fourth contour at the second depth and determines a second region associated with the fourth contour. If criteria are satisfied, the client associates the first region with a position of the first object and associates the second region with a position of the second object.

In some implementations, a device may receive prescription information associated with a medication in a container. The device may cause a camera to capture first image data associated with the medication while the medication is in the container and the container is positioned on a receptacle. The device may cause an adjusting device to reposition the container on the receptacle. The device may cause the camera to capture second image data associated with the medication while the medication is in the container. The device may process, via a neural network, the first image data and the second image data to identify the medication based on depictions of individual units of the medication included in the first image data and the second image data. The device may verify the medication based on the prescription information and an identifier of the medication provided by the neural network.

A system, a wearable device and method for monitoring hand actions. The method comprises: obtaining a visual input from a sensor located on the wearable device worn by a subject. The sensor is configured to capture at least an interior portion of a hand of the subject. The method further comprises identifying, based on the visual input, an object and an action performed by the hand of the subject with respect to an object. The method further comprises performing a responsive action based on at least one of the action and the object. The wearable device is configured to be utilized for self-service shopping, manual fulfillment of a shopping order of a customer, mapping locations of items, detecting violation of safety rules, monitoring health-care systems, managing labs or manufacturing plant, or for other applications related to hand actions monitoring.

An electronic device includes one or more sensors to determine when the device is in use (e.g., being held or worn by the user) and when the device is not in use (e.g., is in a pocket or purse). Examples of such sensors include a capacitive sensor, a thermal sensor, a light sensor, etc. The device can be placed in a mount that allows the device to be more easily worn by the user. The mount extends the capabilities of the sensors on the device so that the sensors on the device can sense information through (or notwithstanding) the mount. The mount also optionally changes the viewpoints of one or more of the sensors, such as by re-directing a sensor that points to the side of the device so that rather than sensing information at the side of the mount information at the bottom of the mount is sensed.