A method for detecting stressed plants in an indoor farm includes the steps of receiving two consecutively taken images of a plantation area in the indoor farm captured consecutively at a predetermined interval. The two images are combined to form a composite image. To the composite image is applied an object detection network to segment the composite image into images of single plants. Pre-trained convolution neuronal networks can be applied to the images of single plants classifying the single plants as healthy or stressed.

An image acquisition method. N images of an object to be shot are acquired. The N images are shot by N shooting devices. Shooting fields of view of the N shooting devices are different from each other. The N images are in one-to-one correspondence with the N shooting devices. Feature extraction is performed on the N images to obtain M features of the N images. M is an integer multiple of N. The M features include M/N types of features.

A system for the detection and classification of live microorganisms in a sample includes a light source and an incubator holding one or more sample-containing growth plates. A translation stage moves the image sensor and/or the growth plate(s) along one or more dimensions to capture time-lapse holographic images of microorganisms. Image processing software executed by a computing device captures time-lapse holographic images of the microorganisms or clusters of microorganisms on the one or more growth plates. The image processing software is configured to detect candidate microorganism colonies in reconstructed, time-lapse holographic images based on differential image analysis. The image processing software includes one or more trained deep neural networks that process the time-lapsed image(s) of candidate microorganism colonies to detect true microorganism colonies and/or output a species associated with each true microorganism colony.

Embodiments of the present disclosure provide a map updating method and apparatus, a device, a server, and a storage medium, which relate to the field of artificial intelligence, and in particular, to the field of autonomous parking. The specific implementation solution is: an intelligent vehicle obtains driving data collected by a vehicle sensor of its own vehicle on a target road section, where the driving data at least includes first video data related to an environment of the target road section, and determines at least one image feature corresponding to each first image frame in the first video data, where the image feature at least includes an image local feature related to the environment of the target road section, and then updates map data corresponding to the target road section according to the at least one image feature corresponding to each first image frame in the first video data.

Systems and methods for an intelligent camera system are provided. A method includes receiving, from a first camera in a vehicle, view data corresponding to an area from a vantage point of the vehicle. The method further includes detecting a region of interest from the view data provided by the first camera. The method also includes providing the region of interest to a second camera in the vehicle. The method further includes receiving, from the second camera, zoom view data corresponding to a zoom view of the region of interest.

A mobile phone-based miniature microscopic image acquisition device, and image stitching and recognition methods are provided. The acquisition device comprises a support, wherein a mobile phone fixing table is provided on the support. A microscope head is provided below a camera of a mobile phone. A slide holder is provided below the microscope head, and an lighting source is provided below the slide holder. A scanning movement is performed between the slide holder and the microscope head along X and Y axes, so that images of a slide are acquired into the mobile phone. The slide sample images acquired into the mobile phone can be stitched and recognized, and can be uploaded to the cloud to be processed by cloud AI, thereby significantly improving the accuracy and efficiency of cell recognition, greatly reducing the medical cost, and ensuring more remote medical institutions can apply such technology for diagnosis.

The present invention relates to a method, system and computer program product for defect enhancement. According to the method, a plurality of proposed regions from a plurality of images taken for a display panel is obtained. Each of proposed region of the plurality of proposed regions include a suspected defect on the display panel. At least two proposed regions from the plurality of proposed regions that deserve to be superimposed based on a set of conditions is determined. The at least two proposed regions for acquiring an enhanced defect are superimposed.

A surgical image capture and display system includes a handheld image capture and pointing device and a display assembly. An image is captured by an image sensor of the handheld device and displayed on the display assembly. The image sensor detects light emitted by one or more beacons of the display assembly. The system determines, based on the light emitted by the one or more beacons, a position or orientation of the handheld device relative to the display assembly. The system updates display of a graphical user interface comprising the image on the display assembly in accordance with the determined position or orientation of the handheld device.

A method for detecting violation of a driving-related law includes producing, by at least one camera, at least one image of a vehicle. The method includes analyzing, by an analysis engine, the at least one image. The analysis engine identifies, based on analyzing the at least one image, a physical position of a driver of the vehicle within the vehicle and identifies a direction of a gaze of the driver. The analysis engine determines that at least one of the physical position of the driver within the vehicle and the direction of the gaze of the driver are associated with a violation of a driving-related law. The method includes transmitting, by a citation mananagement agement component, a notification of the association between the at least one of the physical position of the driver and the direction of the gaze of the driver and the violation, based upon the determination.

An image processing device includes: a reception unit that receives at least one first image provided from at least one first camera capturing an image of a region in which an object exists and a plurality of second images provided from a plurality of second cameras capturing images of a region including a dead region hidden by the object and invisible from a position of the first camera; and an image processing unit that generates a complementary image, as an image of a mask region in the at least one first image corresponding to the object, from the plurality of second images and generates a synthetic display image by combining the at least one first image and the complementary image.