A method of generating light settings for a plurality of lighting units, the method comprising obtaining one or more images, extracting a plurality of colors from the one or more images, selecting a subset of colors from the plurality of colors, wherein the subset of colors is selected based on a target time of day, and generating one or more light settings for the plurality of lighting units based on the selected subset of colors, wherein, when the one or more light settings are activated, the plurality of lighting units are controlled according to the subset of colors.

The present invention relates to a method for analysing a set of food particles, comprising the steps of acquiring a digital colour image of a plurality of particles arranged on a substrate, detecting portions of the image corresponding to each particle, determining the colour of each portion of the determined image, and measuring a distance between the determined colour of one portion of the image and a predetermined colour of a predetermined particle type.

The invention relates to a computing system and a computer-implemented method for classifying images of retina of eyes of subjects. A captured image of a retina is processed to obtain a plurality of different segmented images each having different selected portions of the captured image using different selection rules. The multiple segmented images are provided to respective dedicated machine learning models to output an image classification based on the respective segmented images provided as input. An ensemble classification is determined based on the multiple classifications obtained by means of the multiple trained machine learning models.

The present disclosure relates to methods and devices for performing depth estimation on image data. In one example, a device performs depth estimation on first and second images captured using one or more cameras having a color filter array. Each, image of the first and second images comprises multiple color channels. Each color channel of the multiple color channels corresponds to a respective color channel of the color filter array.sub.. The, device performs the depth estimation by estimating disparity from the color channels of the first and second images.

An image processing method is provided. For each frame of a video stream, a pixel digital frame mask in the respective frame of the video stream is obtained. The pixel digital frame mask of the respective frame includes a plurality of preset pixel position sets. At least two target preset pixel position sets are determined from the plurality of preset pixel position sets that form a frame sequence number of the respective frame based on values of pixels included in the at least two target preset pixel position sets. A frame sequence number corresponding to the respective frame of the video stream is determined according to positions of the at least two target preset pixel position sets in the pixel digital frame mask in the respective frame. Further, video fluency of the video stream is determined based on the frame sequence numbers.

A method for generating a colored tridimensional map of an environment surrounding a device, including the steps of receiving a first stream including a plurality of N point cloud frames from a tridimensional sensor, receiving a second stream including a plurality of M images from a camera, generating a global tridimensional map by merging the plurality of N point cloud frames in a reference coordinate system, and determining the colored tridimensional map by assigning a calculated color to each tridimensional data point of global tridimensional map, the calculated color being determined from color values of pixels of the plurality of M images.

A system and method for statistical analysis of PV photovoltaic panel images for quantifying the percentage of reduction of electricity generation or the percentage of electricity generation of PV photovoltaic panels due to the soiling level of PV photovoltaic panels by means of a system for statistical analysis of PV photovoltaic panel images, using a camera capable of photographing the panels in the visible spectrum, a clean and properly functioning PV photovoltaic panel without the presence of soiling, shading, or operational faults, a string of soiled PV photovoltaic panels to be evaluated, a computer and an method for image analysis.

A system for detecting a pedestrian at a crosswalk and preventing an accident on the basis of artificial intelligence, the system comprising: a camera device installed on a mast arm installed at the top of a traffic light pole installed at a crosswalk to capture pedestrians and the vicinity of the crosswalk; a pedestrian detection module for detecting a pedestrian in an image captured by the camera device through a pre-installed image analysis solution; a color detection module for detecting a current blinking color of a traffic light consisting of a pedestrian traffic light and a driving traffic light; and a warning signal output module for outputting an unauthorized crossing warning message to the pedestrian waiting at the crosswalk according to a detection result of the color detection module and a detection result of the pedestrian detection module.

The driving assistance system includes an imaging device capable of capturing a first monochrome image in a vehicle traveling direction, a first neural network for segmentation processing, a second neural network for depth estimation processing, a determination portion determining a center of a portion cut off from the first monochrome image on the basis of the segmentation processing and the depth estimation processing, a third neural network for colorization processing of only a second cut-off monochrome image, and a display device for enlargement of the second monochrome image subjected to the colorization processing.

The present invention discloses a method for selective crop management in real time. The method comprises steps of: (a) producing a biosensor plant, said biosensor plant comprises a visual biomarker, said biomarker is encoded by at least one modified genetic locus comprising (i) preselected reporter gene allele having a phenotype detectable by a sensor, and (ii) a regulatory region of a preselected gene allele responsive to at least one parameter or condition of said plant or its environment, said regulatory region is operably linked to said reporter gene, such that the expression of said reporter gene phenotype is correlated with the status of said at least one parameter or condition of said biosensor plant or its environment; (b) acquiring image data of a target area comprising a plurality of said biosensor plants via said sensor and processing said data to generate a signal indicative of the phenotypic expression of said reporter gene allele of said biosensor plant; and (c) communicating said signal to an execution unit communicably linked to the sensor, said execution unit is capable of exerting in real time a selective monitoring and/or treatment of said target area or a portion thereof comprising said biosensor plants, said treatment is being responsive to said status of said parameter or condition of the biosensor plant or its environment. The present invention further discloses systems and plants related to the aforementioned method.