Systems and methods are provided for classifying microbial cells according to morphological features of microcolonies. A dark-field objective is employed to acquire a dark-field image of a microcolony during a microcolony growth phase that is characterized by phenotypic expression of microcolony morphological features which evolve with time and are differentiated among classes of microbial cell types. The dark-field image is processed to classify the microcolony according to two or more microbial cell types, such as Gram status and/or speciation. The dark-field objective may have a numerical aperture selected to facilitate the imaging of microcolony morphological features, residing, for example, between 0.15 and 0.35. A set of dark-field images of a microcolony may be collected during the microcolony growth phase and processed to classify the microcolony. Classification may be performed according to a temporal ordering of the dark-field images, for example, using a recurrent neural network.

Systems and methods are provided for classifying microbial cells according to morphological features of microcolonies. A dark-field objective is employed to acquire a dark-field image of a microcolony during a microcolony growth phase that is characterized by phenotypic expression of microcolony morphological features which evolve with time and are differentiated among classes of microbial cell types. The dark-field image is processed to classify the microcolony according to two or more microbial cell types, such as Gram status and/or speciation. The dark-field objective may have a numerical aperture selected to facilitate the imaging of microcolony morphological features, residing, for example, between 0.15 and 0.35. A set of dark-field images of a microcolony may be collected during the microcolony growth phase and processed to classify the microcolony. Classification may be performed according to a temporal ordering of the dark-field images, for example, using a recurrent neural network.

An image sensor comprises a plurality of pixels. Pixels are capable of detecting a change in an amount of light intensity and pixels are capable of detecting an amount of light intensity. In a first mode the sensor outputs data from the first one or more of the pixels. In a second mode the sensor outputs data from the second one or more of the pixels. The first mode may be a lower power operation mode and the second mode may be a higher power operation mode. At least one of the first mode and the second mode is selected by a processor based on at least one of a result of processing data output in the first mode and a result of processing data output in the second mode.

Provided is an object recognition method which includes obtaining a first visible-light image acquired by the first camera device and a second visible-light image acquired by the second camera device; performing exposure processing on the first visible-light image according to the luminance information of the bright area image of the first visible-light image and performing exposure processing on the second visible-light image according to the luminance information of the dark area images of the first visible-light image and/or the second visible-light image, where the dark area image is an area image having a luminance value less than or equal to the preset value; and performing target object detection on the first visible-light image obtained after exposure processing and the second visible-light image obtained after exposure processing and recognizing and verifying a target object according to the detection result.

The present disclosure relates to a door lock having an infrared biometrics information collection device. In certain embodiments, the door lock includes, a door with a door handle for opening the door, an infrared light source, and an infrared biometrics information collection sensor. The infrared light source includes one or more infrared light emitters. The infrared biometrics information collection sensor captures at least one infrared image of biometrics information of the one or more fingers of a target human hand. The fingers are positioned between the infrared light source and the infrared biometrics information collection sensor. The infrared light source irradiates infrared light through one or more fingers to generate infrared images of biometrics information of fingers to be captured by infrared biometrics information collection sensor, infrared images of biometrics information captured are used for user authentications, and the door lock can be unlocked by an authenticated user.

In one embodiment, a method includes accessing first image data generated by a first image sensor having a first filter array that has a first filter pattern. The first filter pattern includes a number of first filter types. The method also includes accessing second image data generated by a second image sensor having a second filter array that has a second filter pattern different from the first filter pattern. The second filter pattern includes a number of second filter types, the number of second filter types and the number of first filter types have at least one filter type in common. The method also includes determining a correspondence between one or more first pixels of the first image data and one or more second pixels of the second image data based on a portion of the first image data associated with the filter type in common.

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.

A moiré image processing device is provided, including a light-transmitting film, a light sensor, and an image processor. The light-transmitting film includes a plurality of microlenses, and a light-incident surface and a light-exit surface, where the microlenses are disposed on the light-incident surface, the light-exit surface, or a combination thereof according to a distribution pattern. The light sensor includes a photosensitive surface, where the photosensitive surface faces the light-exit surface, there are a plurality of pixels on the photosensitive surface, and the pixels sense the microlenses to obtain a photosensitive image corresponding to the distribution pattern. The image processor is coupled to the light sensor, where the image processor performs, according to a virtual image and the photosensitive image, image processing of simulating a moiré effect to generate a moiré image, where the virtual image corresponds to the distribution pattern and is similar to the photosensitive image.

Systems, methods and devices are for optical imaging are described. A system includes a light source and a light detection unit. The light source includes a light-emitting device and a first spectral filter opposite the light emitting device. The first spectral filter includes at least one dielectric filter and has a first angular dependence of a transmission passband. The light source further includes at least one reflector adjacent side surfaces of the light emitting device. The light detection unit includes an optical sensor and a second spectral filter opposite the optical sensor. The second spatial filter has a second angular dependence of a transmission passband that is matched to the first angular dependence.

Systems, methods and devices are for optical imaging are described. A system includes a light source and a light detection unit. The light source includes a light-emitting device and a first spectral filter opposite the light emitting device. The first spectral filter includes at least one dielectric filter and has a first angular dependence of a transmission passband. The light source further includes at least one reflector adjacent side surfaces of the light emitting device. The light detection unit includes an optical sensor and a second spectral filter opposite the optical sensor. The second spatial filter has a second angular dependence of a transmission passband that is matched to the first angular dependence.