Abstract: A computer-implemented method for generating a synthetic training data set for training a machine learning computer vision model for performing at least one user defined computer vision task, in which spatially resolved sensor data are processed and evaluated with respect to at least one user defined object of interest, including receiving at least one model of a user defined object of interest; determining at least one render parameter and multiple render parameters; generating a set of training images by rendering the at least one model of the object of interest based on the at least one render parameter; generating annotation data for the set of training images with respect to the at least one object of interest; and providing a training data set including the set of training images and the annotation data for being output to the user and/or for training the computer vision model.

Abstract: The present invention relates to a sample collection and testing device for analyzing and testing an analyte in a liquid sample. The sample collection device includes a collection inner cavity and a collection outer cavity. The collection inner cavity is disposed inside the collection outer cavity. The collection inner cavity communicates with the collection outer cavity via through holes at a bottom portion of the collection inner cavity. The collection inner cavity is movable between a first position and a second position relative to the collection outer cavity. When the collection inner cavity is at the first position, the liquid sample is collected into the collection outer cavity. When the collection inner cavity is at the second position, the liquid sample is discharged out of the collection outer cavity.

Abstract: A sample collection and detection device includes a collection cavity. The device further includes a sample collector. The sample collector comprises a collection rod and an absorption element, and the absorption element has a hollow cavity. A part of the collection rod is received in the hollow cavity of the absorption element. A first lug for blocking and locating the absorption element is arranged on the collection rod. Also provided is a method for collecting and detecting sample using the sample collection and detection device.

Abstract: A sample collection and detection device includes a collection cavity. The device further includes a sample collector. The sample collector comprises a collection rod and an absorption element, and the absorption element has a hollow cavity. A part of the collection rod is received in the hollow cavity of the absorption element. A first lug for blocking and locating the absorption element is arranged on the collection rod. Also provided is a method for collecting and detecting sample using the sample collection and detection device.

Abstract: A sample collection and detection device includes a collection cavity. The device further includes a sample collector. The sample collector comprises a collection rod and an absorption element, and the absorption element has a hollow cavity. A part of the collection rod is received in the hollow cavity of the absorption element. A first lug for blocking and locating the absorption element is arranged on the collection rod. Also provided is a method for collecting and detecting sample using the sample collection and detection device.

Abstract: A computer-implemented method for generating a synthetic training data set for training a machine learning computer vision model for performing at least one user defined computer vision task, in which spatially resolved sensor data are processed and evaluated with respect to at least one user defined object of interest, including receiving at least one model of a user defined object of interest; determining at least one render parameter and multiple render parameters; generating a set of training images by rendering the at least one model of the object of interest based on the at least one render parameter; generating annotation data for the set of training images with respect to the at least one object of interest; and providing a training data set including the set of training images and the annotation data for being output to the user and/or for training the computer vision model.

Abstract: The present invention relates to a sample collection and testing device for analyzing and testing an analyte in a liquid sample. The sample collection device includes a collection inner cavity and a collection outer cavity. The collection inner cavity is disposed inside the collection outer cavity. The collection inner cavity communicates with the collection outer cavity via through holes at a bottom portion of the collection inner cavity. The collection inner cavity is movable between a first position and a second position relative to the collection outer cavity. When the collection inner cavity is at the first position, the liquid sample is collected into the collection outer cavity. When the collection inner cavity is at the second position, the liquid sample is discharged out of the collection outer cavity.

Abstract: A sample collection and detection device includes a collection cavity. The device further includes a sample collector. The sample collector comprises a collection rod and an absorption element, and the absorption element has a hollow cavity. A part of the collection rod is received in the hollow cavity of the absorption element. A first lug for blocking and locating the absorption element is arranged on the collection rod. Also provided is a method for collecting and detecting sample using the sample collection and detection device.

Abstract: A control system includes a server, an active device and a passive device. An operation interface information is stored in the server. The active device is wirelessly connected with the passive device according to a communication identification information. When a device information of the passive device is acquired by the active device, a control application program of the active device retrieves the operation interface information from the server according to the device information. Consequently, an operation interface corresponding to the operation interface information is displayed on the active device. By operating the operation interface, the passive device is correspondingly controlled.

Abstract: A control system includes a server, an active device and a passive device. An operation interface information is stored in the server. The active device is wirelessly connected with the passive device according to a communication identification information. When a device information of the passive device is acquired by the active device, a control application program of the active device retrieves the operation interface information from the server according to the device information. Consequently, an operation interface corresponding to the operation interface information is displayed on the active device. By operating the operation interface, the passive device is correspondingly controlled.

Abstract: A digital media playing system includes a digital media server and a digital media output device. By recording the video and audio data that are played by a video and audio playing device of the digital media server, a video and audio recording file is generated. By performing an encoding operation and a wrapping operation on the video and audio recording file, an identifiable streaming media file is obtained. In addition, the identifiable streaming media file is transmitted to the digital media output device to be played. Consequently, the video and audio data that are played by the video and audio playing device of the digital media server can be outputted through mirroring.

Abstract: A redeye image detection method for detecting at least one redeye image in an input image includes: deriving an edge detection result by performing an edge detection process to detect an edge characteristic of the input image; deriving a red pixel detection result by performing a red pixel detection process to detect red pixels in the input image, and utilizing a determining circuit to derive a preliminary detection result according to the edge detection result and the red pixel detection result, and derive the redeye image according to the preliminary detection result.

Abstract: An image pickup system includes a display screen, an image pickup device and a positioning program. The image pickup device is used for shooting a document. The display screen is used for showing a positioning mark. When the document is moved and a pre-shot document image is aligned with the positioning mark, the image pickup device is activated by the positioning program to shoot the document, thereby obtaining a document image.

Abstract: An image pickup system includes a display screen, an image pickup device and a positioning program. The image pickup device is used for shooting a document. The display screen is used for showing a positioning mark. When the document is moved and a pre-shot document image is aligned with the positioning mark, the image pickup device is activated by the positioning program to shoot the document, thereby obtaining a document image.

Abstract: A redeye image detection method for detecting at least one redeye image in an input image includes: deriving an edge detection result by performing an edge detection process to detect an edge characteristic of the input image; deriving a red pixel detection result by performing a red pixel detection process to detect red pixels in the input image, and utilizing a determining circuit to derive a preliminary detection result according to the edge detection result and the red pixel detection result, and derive the redeye image according to the preliminary detection result.

Abstract: For a wireless network, communication nodes (such as a Mobile Switching Center) are disclosed that include at least ten small routers. The small routers handle traffic received from a plurality of base stations over a backhaul facility. The backhaul facility transports the traffic between the base stations and the small routers using Internet Protocol (IP). A small router in the communication node is defined as a router that is to handle 10% or less of the traffic for the communication node as configured. The percentage to be handled by a router is based on the configuration of the communication node.

Abstract: Load balancing is supported for a plurality of nodes having loads determined by a plurality of task distributors. A periodic, iterative process based on loads of real-time data causes the total load of each node to tend to converge towards equalization of loads among all of the nodes.