Abstract: The present disclosure discloses a data acquisition and analysis method based on diabetes data analysis and processing equipment, and relates to the field of diabetes data analysis and prediction. The equipment includes a computer, a placement rack and a flow cytometer. The mitochondrial membrane potential data in the neutrophil is performed independent evaluation and analysis. If the proportion of cells with increased mitochondrial membrane potential are in the neutrophil is greater than 70%, the person is at the risk of diabetes, otherwise the risk is lower, so that the subsequent development of diabetes in a person with normal blood glucose can be predicted, and the diabetes can be prevented in advance.

Abstract: The present disclosure may provide a system. The system may obtain at least one pair of images from at least one pair of capture devices. Each of the at least one pair of capture devices may include a first capture device and a second capture device, and each of the at least one pair of images may include a first image captured by the first capture device and a second image captured by the second capture device. The system may determine first identification information of at least one first object in the first image and determine second identification information of at least one second object in the second image. Further, the system may determine at least one information pair by correlating at least a part of the first identification information and at least a part of the second identification information.

Abstract: Embodiments of the present disclosure disclose a system for processing an image. The system comprises at least one storage device including a set of instructions; and at least one processor configured to communicate with the at least one storage device, wherein when executing the set of instructions, the at least one processor is configured to direct the system to perform operations including: obtaining an image; obtaining a first image feature by performing a feature extraction operation on the image; obtaining a down-sampled image by down-sampling the image; obtaining a second image feature by performing a feature extraction operation on the down-sampled image; obtaining, based on the first image feature and the second image feature, a target feature; and performing a segmentation operation on the image based on the target feature.

Abstract: The present disclosure relates to systems and methods for video analysis. The systems may obtain a video stream. For each of a plurality of frames in the video stream, the systems may determine a reference score corresponding to the frame based on a spatiotemporal feature of the frame. The spatiotemporal feature of the frame may associate a feature of the frame with a feature of at least one adjacent frame of the frame. The systems may determine, from the plurality of frames in the video stream, one or more target frames based on reference scores corresponding to the plurality of frames.

Abstract: A license plate classification method, a license plate classification apparatus and a computer-readable storage medium are provided. The method includes: performing a license plate recognition process on a first license plate image to obtain a license plate recognition result; performing an encoding process on the license plate recognition result to obtain a first license plate feature; performing a feature extraction process on the first license plate image to obtain a second license plate feature; and processing the first license plate feature and the second license plate feature through a classification network to obtain a first license plate classification result. In this way, an accuracy of license plate classification is improved.

Abstract: The present disclosure provides a system and method for traffic violation detection. The system may determine a target object which should be given precedence with respect to a vehicle from one or more moving objects by performing an angle correction on the one or more moving objects, wherein the one or more moving objects are objects moving in a predetermined region. When it is determined that a moving direction of the target object is a moving direction towards middle of a road and a target vehicle passing through the predetermined region is not courteous to the target object, the system may mark a state of the target vehicle as a violation state.

Abstract: The present disclosure may provide a system. The system may obtain at least one pair of images from at least one pair of capture devices. Each of the at least one pair of capture devices may include a first capture device and a second capture device, and each of the at least one pair of images may include a first image captured by the first capture device and a second image captured by the second capture device. The system may determine first identification information of at least one first object in the first image and determine second identification information of at least one second object in the second image. Further, the system may determine at least one information pair by correlating at least a part of the first identification information and at least a part of the second identification information.

Abstract: The present disclosure provides a system and method for traffic violation detection. The system may determine a target object which should be given precedence with respect to a vehicle from one or more moving objects by performing an angle correction on the one or more moving objects, wherein the one or more moving objects are objects moving in a predetermined region. When it is determined that a moving direction of the target object is a moving direction towards middle of a road and a target vehicle passing through the predetermined region is not courteous to the target object, the system may mark a state of the target vehicle as a violation state.

Abstract: A rigid polyurethane foam obtainable by mixing a) isocyanates, b) compounds having groups which are reactive toward isocyanates, c) a blowing agent, d) a catalyst, e) one or more foam stabilizer, and optionally, f) further additives to form a reaction mixture, applying the reaction mixture to a reinforcing material and curing the reaction mixture, wherein the isocyanates (a) have a viscosity of not more than 600 mPas at 25° C. and the compounds (b) having groups which are reactive toward isocyanates comprise (b1) 45-70 wt-% (based on the total weight of (b) of an aromatic polyester polyol having a functionality of 2.5 or less and a hydroxyl number of more than 220 mg KOH/g (b2) 20-40 wt.-% (based on the total weight of (b) of a polyether polyol having a functionality of 4 or more and a hydroxyl number of more than 400 mg KOH/g, and (b3) more than 15 wt.