A pulse-width modulation (PWM) image sensor is described herein. The PWM image sensor may have a stacked configuration. A top wafer of the PWM image sensor may have a charge-to-time converter and a logic wafer, stacked with the top wafer, may include a time-to-digital converter. The PWM image sensor may utilize variable transfer functions to avoid highlight compression and may utilize non-linear time quantization. A threshold voltage, as input to a charge-to-time converter, may additionally be controlled to affect light detection, dynamic range, and other features associated with the PWM image sensor.

An image processing method and a device configured to implement the same are disclosed. The device comprises: a hybrid imaging device configured to obtain optical input; and a processing device in signal communication with the hybrid imaging device. The processing device comprises: a motion detection circuit that performs feature tracking based on a first component of an obtained optical input; a motion estimation circuit that performs motion compensation based on output of the motion detection unit; a frame reconstruction circuit that reconstructs image frame based on both the output of the motion estimation unit and a second component of the optical input; and an output unit that outputs image frame at a predetermined global frame rate.

The present application discloses an imaging system for detecting human-object interaction and a method for detecting human-object interaction thereof. The imaging system includes an event sensor, an image sensor, and a controller. The event sensor is configured obtain an event data set of the targeted scene according to variations of light intensity sensed by pixels of the event sensor when an event occurs in the targeted scene. The image sensor is configured capture a visual image of the targeted scene. The controller is configured to detect human according to the event data set, trigger the image sensor to capture the visual image when the human is detected, and detect the human-object interaction in the targeted scene according to the visual image and a series of event data sets obtained by the event sensor during the event.

A sensor includes a determining circuit and an output circuit. The determining circuit receives a first signal from a pixel in response to light and outputs a second signal associated with occurrence of an event, based on the first signal. Based on the second signal being received in a time period between a first time when a third signal is received from a processor and a second time when a condition is satisfied, the output circuit outputs a fourth signal associated with occurrence of the event in the time period to the processor after the second time.

Various implementations disclosed herein include devices, systems, and methods that buffer events in device memory during synchronous readout of a plurality of frames by a sensor. Various implementations disclosed herein include devices, systems, and methods that disable a sensor communication link until the buffered events are sufficient for transmission by the sensor. In some implementations, the sensor using a synchronous readout may select a readout mode for one or more frames based on how many of the pixels are detecting events. In some implementations, a first mode that reads out only data for a low percentage of pixels that have events uses the device memory and a second mode bypasses the device memory based on accumulation criteria such as high percentage of pixels detecting events. In the second mode, less data per pixel may be readout.

A method includes detecting, based on sensor data from a sensor on a mobile device, an environmental brightness measurement, where the mobile device comprises a display screen configured to adjust display brightness based on environmental brightness. The method further includes determining, based on image data from a camera on the mobile device, an extent to which the detected environmental brightness measurement is caused by reflected light from the display screen. The method additionally includes setting a rate of exposure change for the camera based on the determined extent to which the detected environmental brightness measurement is caused by reflected light from the display screen.

A method includes detecting, based on sensor data from a sensor on a mobile device, an environmental brightness measurement, where the mobile device comprises a display screen configured to adjust display brightness based on environmental brightness. The method further includes determining, based on image data from a camera on the mobile device, an extent to which the detected environmental brightness measurement is caused by reflected light from the display screen. The method additionally includes setting a rate of exposure change for the camera based on the determined extent to which the detected environmental brightness measurement is caused by reflected light from the display screen.

A focus control device includes a processor including hardware, the processor being configured to implement: an area setting process that sets a plurality of areas, each including a plurality of pixels, on a captured image acquired by an imaging section, an evaluation value calculation process that calculates an AF (Autofocus) evaluation value for each of the plurality of set areas, a bright spot influence rate calculation process that calculates a bright spot influence rate for each of the plurality of set areas, based on whether or not the area includes a high luminance portion determined to have a size equal to or larger than a given size, and focus control based on the AF evaluation value and the bright spot influence rate.

Aspects of the present disclosure relate to eye tracking systems and methods which track eyes by illuminating the eyes using a light source and detecting the eye illuminations using a sensor. Implementations of the present disclosure may utilize wide angle lighting via a plurality of individual light sources which are each oriented in different orientations. A wide area may be illuminated by the different light sources, and these light sources may be selectively turned on and off based on a current location of a user.

An object having a high attention degree is selected from objects detected by a detection means, brightness of a captured image is calculated by using an attention region corresponding to the selected object as a detection frame, and exposure control is performed based on the calculated brightness. The attention degree is evaluated higher with the decrease in the distance. Alternatively, the attention degree is evaluated higher as the direction becomes closer to the traveling direction. The attention region is made larger with the decrease in the distance to the object. It is also possible to judge the type of the object and determine the size of the attention region based on the result of the judgment. A subject to be paid attention to is made clearly visible.