Disclosed is a method and apparatus for testing a liveness, where the liveness test method includes receiving a color image and a photodiode (PD) image of an object from an image sensor comprising a pixel formed of a plurality of PDs, preprocessing the color image and the PD image, and determining a liveness of the object by inputting a result of preprocessing the color image and a result of preprocessing the PD image into a neural network.

Disclosed is a method and apparatus for testing a liveness, where the liveness test method includes receiving a color image and a photodiode (PD) image of an object from an image sensor comprising a pixel formed of a plurality of PDs, preprocessing the color image and the PD image, and determining a liveness of the object by inputting a result of preprocessing the color image and a result of preprocessing the PD image into a neural network.

An image sensor, a fingerprint detection apparatus, and an electronic device are provided. The image sensor includes a pixel circuit array, wherein each pixel circuit is configured to generate an output signal according to a received light signal; and an output circuit is configured to simultaneously receive output signals of a plurality of pixel circuits in the pixel circuit array, and output a signal average value of the output signals of the plurality of pixel circuits. The image sensor has a small area and power consumption.

An image sensor, a fingerprint detection apparatus, and an electronic device are provided. The image sensor includes a pixel circuit array, wherein each pixel circuit is configured to generate an output signal according to a received light signal; and an output circuit is configured to simultaneously receive output signals of a plurality of pixel circuits in the pixel circuit array, and output a signal average value of the output signals of the plurality of pixel circuits. The image sensor has a small area and power consumption.

The present disclosure provides a fingerprint sensor, a fingerprint module, and a terminal device. The fingerprint sensor has a sensing array, the sensing array includes a plurality of pixel sets, each pixel set includes at least one pixel unit, two adjacent pixel sets in each row of the plurality of pixel sets are electrically connected to each other via a first control line, two adjacent pixel sets in each column of the plurality of pixel sets are electrically connected to each other via a second control line, the plurality of pixel sets include at least one first pixel set, the first pixel set includes at least two pixel units, and the at least two pixel units are electrically connected to each other.

An array substrate is disclosed. The array substrate may include a base substrate, gate lines and data lines intersecting the gate lines on the base substrate. The gate lines and the data lines may define a plurality of pixel regions. Each of at least some of the plurality of the pixel regions may be provided with an image sensor. The image sensor may include a sensitive element, a first electrode at one end of the sensitive element, and a second electrode at the other end of the sensitive element. The image sensor may be configured to sense light having image information.

A method for image processing includes: performing human shape detection for a target image to obtain a human shape detection result, the target image being acquired in a present scene in real time; determining a region of interest in the target image according to the human shape detection result of the target image; and determining, based on brightness distribution in the region of interest, a target parameter value for image acquisition in the present scene.

In an agricultural machine vision system for the selective treatment of a field employing a boom deployed sensor and treatment device, the system utilizes at least one image sensor mounted on the boom to produce base image data. A boom angle detector detects boom height which is used to correct the base image data into remapped image data including a region of interest to produce corrected image data producing a regularized image of the region of interests for treatment, independent of boom tilt.

A multimodal biometric device is disclosed. An apparatus may include a non-contact imaging system. The non-contact imaging system may include imaging optics, optical illumination optically coupled to the imaging optics, and a configurable body part support to support different body parts at corresponding focal lengths to capture different portions of the different body parts. An apparatus may also include a housing coupled to the imaging optics, the optical illumination, and the configurable body part support.

Provided are an image capturing device for capturing an image in a target area, transmission parts through which an outside can be visually observed from inside of the target area and polarizing filters on an light path from the transmission parts to the image capturing device. The front- and depth-side polarizing filters relative to the image capturing device are arranged so as to have polarizing directions crossing each other. A foreign matter in the target area is detected on the basis of the image acquired by the image capturing device.