Abstract: Various arrangements disclosed herein relate to dynamically determining a length of cable to provision for charging an electric vehicle, including a sensor to detect a characteristic of the electric vehicle, a data processing system configured to determine, based at least in part on the characteristic, a position of a charge port of the vehicle and to determine, based at least in part on the position of the charge port of the vehicle, a distance between a charging apparatus and the charge port of the vehicle. The charging apparatus includes a cable dispenser configured to provide a length of a segment of a cable based on the distance between the charging apparatus and the charge port.

Abstract: A multispectral sensing device includes a first die, including silicon, which is patterned to define a first array of sensor elements, which output first electrical signals in response to optical radiation that is incident on the device in a band of wavelengths less than 1000 nm that is incident on the front side of the first die. A second die has its first side bonded to the back side of the first die and includes a photosensitive material and is patterned to define a second array of sensor elements, which output second electrical signals in response to the optical radiation that is incident on the device in a second band of wavelengths greater than 1000 nm that passes through the first die and is incident on the first side of the second die. Readout circuitry reads the first electrical signals and the second electrical signals serially out of the device.

Abstract: Disclosed in embodiments of the present application are a method and a product for AI processing of tumor based on VRDS 4D medical images, which is applied to medical imaging apparatuses, and the method includes: determining a bitmap BMP data source according to a plurality of scanned images associated with a target organ of a target user, generating target medical image data according to the BMP data source; determining abnormal data in target medical image data; determining the attribute information of a tumor of the target user according to the abnormal data; performing 4D medical imaging according to the target medical image data, and outputting the attribute information of the tumor. The embodiment of this application is facilitated to improve the accuracy and efficiency of tumor recognition.

Abstract: Disclosed in the present application are a method and a product for AI processing of tumor and blood vessel based on VRDS 4D medical images, including determining a bitmap BMP data source; generating target medical image data according to the BMP data source; determining abnormal data in the target medical image data, a target tissue includes the target organ and a blood vessel; determining an association relationship between a tumor and a blood vessel of the target user according to a data set of the blood vessel and the abnormal data; performing 4D medical imaging according to the target medical image data, and outputting the association relationship between the tumor and the blood vessel, which is facilitated to improve the accuracy and efficiency of the medical imaging apparatus in recognizing the association relationship between a tumor and a blood vessel.

Abstract: A method and a product for AI processing of artery and vein based on VRDS 4D medical images, the method is applied to a medical imaging apparatus, and the method includes: the medical imaging apparatus first determines a bitmap (BMP) data source according to a plurality of scanned images of a target site of a target user, second generates target medical image data according to the BMP data source, and finally performs 4D medical imaging according to the target medical image data, wherein the target medical image data includes at least a data set of a blood vessel in the target site, and a data set of a vein is a transfer function result of a cubic space of a surface of the vein and a tissue structure inside the vein, and an intersection position of the artery and a vein presents an overall separation image effect.

Abstract: A method and a product for AI endoscope analyzing of vein based on VRDS 4D medical images, which is applied to medical imaging apparatus, and the method includes: determining a bitmap (BMP) data source according to a plurality of scanned images of a target site of a target user, wherein the target site includes a target vein to be observed and an artery, a kidney and a hepatic portal associated with the target vein; generating first medical image data according to the BMP data source; generating second medical image data according to the first medical image data; processing the second medical image data to obtain target medical image data; extracting a data set of the target vein in the target medical image data; performing 4D medical imaging according to the data set of the target vein to display an internal image of the target vein.

Abstract: An image three-dimensional measurement method, an electronic device, a storage medium and a program, product are disclosed, wherein the image three-dimensional measurement method includes the following steps: performing feature extraction on a medical image scanned by a scanning device; performing image matching on the extracted medical image; performing calibration on the scanning device to determine an internal parameter of the scanning device; performing three-dimensional reconstruction on the medical image according to the internal parameter of the scanning device to obtain a three-dimensional image; and projecting the three-dimensional image onto a two-dimensional image, and calculating a size of a target area according to a mapping relationship between three-dimensional spatial points and two-dimensional image points.

Abstract: A method and a product for AI recognizing of embolism based on VRDS 4D medical image, the method is applied to a medical imaging apparatus, and the method includes the following steps: determining a bitmap (BMP) data source according to a plurality of scanned images of a target site of a target user, wherein the target site includes an embolism formed on a wall of a target blood vessel; generating target medical image data according to the BMP data source; performing 4D medical imaging according to the target medical image data and determining a feature attribute of the embolism according to an imaging result, wherein the feature attribute includes at least one of the following: density, crawling direction, correspondence with a site of cancer focus and edge characteristics; and determining a type of the embolism according to the features and outputting the type.

Abstract: Disclosed in embodiments of the present application are a method and a product for processing of VRDS 4D medical images, the method is applied to a medical imaging apparatus, and the method includes: performing initial data analysis processing on a plurality of scanned images to obtain an image source including image features of a target site of a target user; performing post-data processing on the image source to obtain N first image data sets; performing preset processing on the N first image data sets to obtain N second image data sets; performing VRDS 4D medical image display according to the N second image data sets. The embodiment of this application is facilitated to improve the refinement degree and accuracy of the medical imaging apparatus in performing medical image display.

Abstract: A method and a product for multi-device AI linkage displaying of a VRDS 4D medical image, the method includes: extracting first partial image data from a target 4D image data according to preset raw spatial attitude information and display screen parameters of a first display device, and extracting second partial image data from the target 4D image data according to the raw spatial attitude information and display screen parameters of a second display device; and displaying the first partial image data on the first display device and displaying the second partial image data on the second display device; judging whether to enable a linkage display function when receiving first spatial attitude information and second spatial attitude information; if so, selecting the spatial attitude information of a display device with high display priority as reference spatial attitude information; adjusting image data displayed by a display device with low display priority.

Abstract: Disclosed in the present invention are a medical imaging system and method based on virtual reality technique and capable of carrying out interactive and three-dimensional dynamic real-time rendering. The medical imaging system, including a local medical imaging device, a server and a terminal medical imaging device, can realize dynamic real time rendering, and realize more real, steric and intuitive the imaging effect. Based on the system and method, the doctor can realize positioning zoom, rotation, “entering”, moving up and down, change in color and transparency in a particular area and the like of three-dimensional imaging to realize the interactive display of three-dimensional image.

Abstract: Disclosed in the present invention are a medical imaging system and method based on virtual reality technique and capable of carrying out interactive and three-dimensional dynamic real-time rendering. The medical imaging system, including a local medical imaging device, a server and a terminal medical imaging device, can realize dynamic real time rendering, and realize more real, steric and intuitive the imaging effect. Based on the system and method, the doctor can realize positioning zoom, rotation, “entering”, moving up and down, change in color and transparency in a particular area and the like of three-dimensional imaging to realize the interactive display of three-dimensional image.