Sensing pixels each store a sensing voltage level. A method for driving the plurality of sensing pixels includes providing a plurality of readout scan signals to the plurality of sensing pixels, and providing a plurality of reset scan signals to the plurality of sensing pixels. One of the plurality of readout scan signals enables one of the plurality of sensing pixels to output the sensing voltage level stored in the one of the plurality of sensing pixels. One of plurality of reset scan signals resets the sensing voltage level stored in one of the plurality of sensing pixels. One of the plurality of reset scan signals is generated by converting one of the plurality of readout scan signals with a level shift circuit or one of the plurality of readout scan signals is generated by converting one of the plurality of reset scan signals with a level shift circuit.

Sensing pixels each store a sensing voltage level. A method for driving the plurality of sensing pixels includes providing a plurality of readout scan signals to the plurality of sensing pixels, and providing a plurality of reset scan signals to the plurality of sensing pixels. One of the plurality of readout scan signals enables one of the plurality of sensing pixels to output the sensing voltage level stored in the one of the plurality of sensing pixels. One of plurality of reset scan signals resets the sensing voltage level stored in one of the plurality of sensing pixels. One of the plurality of reset scan signals is generated by converting one of the plurality of readout scan signals with a level shift circuit or one of the plurality of readout scan signals is generated by converting one of the plurality of reset scan signals with a level shift circuit.

An imaging system including: first camera and second camera; depth-mapping means; gaze-tracking means; and processor configured to: generate depth map of real-world scene; determine gaze directions of first eye and second eye; identify line of sight and conical region of interest; determine optical depths of first object and second object present in conical region; when first and second objects are placed horizontally opposite, adjust optical focuses of first and second cameras to focus on respective objects on same side as them; when first and second objects are placed vertically opposite, adjust optical focus of one camera corresponding to dominant eye to focus on object having greater optical depth, and adjust optical focus of another camera to focus on another object; and capture first image(s) and second image(s) using adjusted optical focuses of cameras.

A movable carrier auxiliary system includes a driver state detecting device and a warning device. The driver state detecting device includes a physiological state detecting module, a storage module, and an operation module. The physiological state detecting module is adapted to detect a physiological state of a driver. The storage module is disposed in a movable carrier and stores an allowable parameter corresponding to the at least one physiological state. The operation module is disposed in the movable carrier and is electrically connected to the physiological state detecting module and the storage module to detect whether the at least one physiological state of the driver exceeds the allowable parameter or not, and to correspondingly generate a detection signal. The warning device generate a warning message when the detection signal that the at least one physiological state of the driver exceeds the allowable parameter is received.

A machine learning based imaging system comprises an imaging apparatus for attachment to an imaging sensor of a mobile computing apparatus such as camera of a smartphone. A machine learning (or AI) based analysis system is trained on images captured with the imaging apparatus attached, and once trained may be deployed with or without the imaging apparatus. The imaging apparatus comprise an optical assembly that may magnify the image, an attachment arrangement and a chamber or a wall structure that forms a chamber when placed against an object. The inner surface of the chamber is reflective apart and has a curved profile to create uniform lighting conditions on the one or more objects being imaged and uniform background lighting to reduce the dynamic range of the captured images.

This fish counting system comprises: an image acquisition unit configured to acquire a plurality of images obtained by capturing, over time, images of a photographing area in which a fluid including a fish flows; an extraction unit configured to extract a fish in each image; and a counting unit configured to count the number of fish. The photographing area has a first area and a second area. The counting unit is configured to count the fish when the fish in the first area moves to the second area.

Some disclosed methods involve receiving, by a control system, touch sensor signals from a touch sensor system indicating a touch of a target object in a target object touch area and controlling, by the control system and responsive to the touch sensor signals, a plurality of display pixels of a display stack to illuminate the target object touch area. Such methods may involve receiving, by the control system and from an optical sensor system, optical sensor signals corresponding to light transmitted from the plurality of display pixels, reflected or scattered from the target object, transmitted through a plurality of display stack apertures, directed by a light guide system and received by an optical sensor system. Such methods may involve performing, by the control system, an authentication process based, at least in part, on the optical sensor signals.

A biometric authentication system comprising headwear comprising a plurality of biosensors each configured to sample muscle activity so as to obtain a respective time-varying signal; a data store for storing a data set representing characteristic muscle activity for one or more users; and a processor configured to process the time-varying signals from the biosensors in dependence on the stored data set so as to determine a correspondence between a time-varying signal and characteristic muscle activity of one of the one or more users, and in dependence on the determined correspondence, authenticate the time-varying signals as being associated with that user.

A biometric authentication system comprising headwear comprising a plurality of biosensors each configured to sample muscle activity so as to obtain a respective time-varying signal; a data store for storing a data set representing characteristic muscle activity for one or more users; and a processor configured to process the time-varying signals from the biosensors in dependence on the stored data set so as to determine a correspondence between a time-varying signal and characteristic muscle activity of one of the one or more users, and in dependence on the determined correspondence, authenticate the time-varying signals as being associated with that user.

A mobile-platform imaging device uses compression of the target region to generate an image of an object. A tactile sensor has an optical waveguide with a flexible, transparent first layer. Light is directed into the waveguide. Light is scattered out of the first layer when the first layer is deformed. The first layer is deformed by the tactile sensor being pressed against the object. A force sensor detects a force pressing the tactile sensor against the object and outputs corresponding force information. A first communication unit receives the force information from the force sensor. A receptacle holds a mobile device with a second communication unit and an imager that can generate image information using light scattered out of the first layer. The first communication unit communicates with the second communication unit and the mobile device communicates with an external network.