A method and an apparatus for camera-free light field video processing with all-optical neural network are disclosed. The method includes: mapping the light field video by a digital micro-mirror device (DMD) and an optical fiber coupler, a two-dimensional 2D spatial optical signal into a one-dimensional 1D input optical signal; realizing a multiply-accumulate computing model in a structure of all-optical recurrent neural network structure, and processing the 1D input signal to obtain the processed signal; and receiving the processed signal and outputting an electronic signal by a photodetector, or receiving the processed signal by a relay optical fiber for relay transmission of the processed signal. The method and system here realize light field video processing without the use of a camera and the whole system is all-optical, thus possessing the advantage in computing speed and energy-efficiency.

A method of identifying an item includes: capturing by a camera an image of the item, searching in the image a predefined dot start and end codes, determining in the image directions of the predefined dot start and end codes, interpolating in the image a reading line to extend from the predefined dot start code to the predefined dot end code, where a direction of the reading line at the predefined dot start code corresponds to the direction of the predefined dot start code, where the direction of the reading line at the predefined dot end code corresponds to the direction of the predefined dot end code, reading along the reading line the dots from the image, and deriving the identification code from the dots as read along the reading line between the predefined dot start code and the predefined dot end code.

A method and system are provided for illuminating and imaging a biological sample using a brightfield microscope for the purpose of counting biological cells. The method comprises positioning a sample to be viewed by way of an objective lens of the microscope, the sample comprising a plurality of biological cells; capturing and storing, using an image capturing apparatus, one or more focal image stacks; processing the one or more focal image stacks using a cell localisation neural network, the cell localisation neural network outputting a list of one or more cell locations; determining, using the list of cell locations, one or more cell focal image stacks, each cell focal image stack being obtained from the one or more focal image stacks; processing the one or more cell focal image stacks using an encoder neural network; determining, using the list of cell locations and the list of cell fingerprints, a number of cells within the sample. The present disclosure aims to provide a quick, non-invasive and reliable mode of counting biological cells.

A system and corresponding method are disclosed for biometric operations. The system may comprise an illumination source, a polarization selector, an imager, and a controller. The illumination source may illuminate a biometric feature. The polarization selector may receive light reflected from the biometric feature and be operable between two states selectively transmitting different polarizations. The imager may receive the light selectively transmitted by the polarization selector and generate one or more images. The controller may perform a biometric authentication based, at least in part, on the one or more images. In operation, the polarization selector may switch between states so that the system may capture two separate image sets, each based on light of a different polarization. Accordingly, adverse reflections, such as those off an eyeball or glasses, may be substantially eliminated or reduced in at least one of the image sets.

A system and corresponding method are disclosed for biometric operations. The system may comprise an illumination source, a polarization selector, an imager, and a controller. The illumination source may illuminate a biometric feature. The polarization selector may receive light reflected from the biometric feature and be operable between two states selectively transmitting different polarizations. The imager may receive the light selectively transmitted by the polarization selector and generate one or more images. The controller may perform a biometric authentication based, at least in part, on the one or more images. In operation, the polarization selector may switch between states so that the system may capture two separate image sets, each based on light of a different polarization. Accordingly, adverse reflections, such as those off an eyeball or glasses, may be substantially eliminated or reduced in at least one of the image sets.

An optical measurement system comprises a polarization beam splitter for dividing an incident beam into a reference beam and a measurement beam, a first beam splitter for reflecting the measurement beam to form a first reflected measurement beam, a spatial light modulator for modulating the first reflected measurement beam to form a modulated measurement beam, a condenser lens for focusing the modulated measurement beam to an object to form a penetrating measurement beam, an objective lens for converting the penetrating measurement beam into a parallel measurement beam, a mirror for reflecting the parallel measurement beam to form an object beam, a second beam splitter for reflecting the reference beam to a path coincident with that of the object beam, and a camera for receiving an interference signal generated by the reference beam and the object beam to generate an image of the object.

An apparatus for identifying a weather condition in surroundings of a vehicle, which includes an illuminating unit for illuminating the surroundings, a control unit for controlling the illuminating unit, an image capturing unit for capturing image information of the surroundings, an evaluation unit for evaluating the image information, image data provided by the image capturing unit being compared with predefined reference image data, each characterizing different weather conditions, and a weather condition signal being generated, depending on a match of the comparison, the control unit including a pulse modulation device, with the aid of which the illuminating unit is controlled in such a way that the illuminating unit emits pulsed light signals

An apparatus for identifying a weather condition in surroundings of a vehicle, which includes an illuminating unit for illuminating the surroundings, a control unit for controlling the illuminating unit, an image capturing unit for capturing image information of the surroundings, an evaluation unit for evaluating the image information, image data provided by the image capturing unit being compared with predefined reference image data, each characterizing different weather conditions, and a weather condition signal being generated, depending on a match of the comparison, the control unit including a pulse modulation device, with the aid of which the illuminating unit is controlled in such a way that the illuminating unit emits pulsed light signals

The present disclosure provides a three-dimensional distance measurement method and device. A three-dimensional distance measurement device includes: at least a light source unit, configured to emit light pulses to illuminate a scene to be measured; at least an optical transmission unit, configured to control transmission of a reflected light obtained after the light pulses are reflected by an object in the scene to be measured; at least a photoreceptor unit, configured to receive a light transmitted through the optical transmission unit to perform imaging; and at least a processor unit, configured to control the light source unit, the optical transmission unit and the photoreceptor unit, and to determine scene distance information of the scene to be measured based on an imaging result of the photoreceptor unit.

A method for controlling a vehicle is provided. The vehicle includes an image capturing device. The method includes: controlling the image capturing device to collect an image of a scene where the vehicle is located; acquiring projection information of a projection pattern in the image; determining image-altering information corresponding to the projection pattern according to the projection information; and controlling movement of the vehicle according to the image-altering information.