A system and method are provided for collection and testing of a biologic sample. The system and method comprise collecting by a user of a testing device a biologic sample for use with the testing device, assigning correlative values as test results, and receiving the test results at a server disposed on a network. Some aspects further include presenting advertisements and other messages to users through a mobile application operating on a mobile device. These aspects take into account the results of the self-diagnostic test and present different advertisements to the user based on the results of the test.

Provided are methods, including computer-implemented methods, devices, and computer-program products applying systems and methods for pallet identification. According to some embodiments of the invention, a pallet may be visually identified through photographs without attaching physical labels. Thus, the status of pallets may be monitored (e.g., their location and structural integrity) as they move through the supply chain.

An information processing apparatus includes a processor configured to extract a mark specified in advance from an image of a document; and acquire a character string by performing character recognition on a region located in a particular direction with respect to a position of the mark, the direction being associated in advance with the mark.

The present invention provides an apparatus and method for image classification and segmentation based on a feature-guided network, a device, and a medium, and belongs to the technical field of deep learning. A feature-guided classification network and feature-guided segmentation network of the present invention include basic unit blocks. A local feature is enhanced and a global feature is extracted among the basic unit blocks. This resolves a problem that features are not fully utilized in existing image classification and image segmentation network models. In this way, a trained feature-guided classification network and feature-guided segmentation network have better effects and are more robust. The present invention selects the feature-guided classification network or the feature-guided segmentation network based on a requirement of an input image and outputs a corresponding category or segmented image, to resolve a problem that the existing classification or segmentation network model has an unsatisfactory classification or segmentation effect.

A video text tracking method and an electronic device are disclosed. In the method, a text line region is split into sub-regions, the sub-regions are tracked and then processed, and processed sub-regions are combined into a new text line. The technical solutions provided in this application are not only applicable to a straight-line text scenario or a curved text scenario, but also present a good tracking effect for a deformable text line.

A video text tracking method and an electronic device are disclosed. In the method, a text line region is split into sub-regions, the sub-regions are tracked and then processed, and processed sub-regions are combined into a new text line. The technical solutions provided in this application are not only applicable to a straight-line text scenario or a curved text scenario, but also present a good tracking effect for a deformable text line.

Disclosed herein are methods, apparatus, and computer program code for object manufacturing (e.g. 3D printing), to align an object scan obtained from a manufactured object manufactured according to an object data file with an object representation obtained from the object data file. The manufactured object has been manufactured on a manufacturing bed of a 3D manufacturing apparatus according to the object data file. The manufactured object comprises a manufacturing parameter identifier in a region of interest defined in the object data file, the manufacturing parameter identifier indicating a manufacturing parameter of the manufactured object. The manufacturing parameter identifier in the region of interest of the aligned object scan may be computationally read.

A non-transitory computer-readable recording medium stores a determination program for causing a computer to execute processing including: acquiring a group of captured images that include a face to which markers are attached; calculating a first vector based on positions of the markers included in the captured images; dividing the first vector into a second vector according to a determination direction of a first action unit associated with the markers and a third vector according to a determination direction of a second action unit associated with the markers; and determining first occurrence intensity of the first action unit and second occurrence intensity of the second action unit based on the second vector and the third vector.

A non-transitory computer-readable recording medium stores a determination program for causing a computer to execute processing including: acquiring a group of captured images that include a face to which markers are attached; calculating a first vector based on positions of the markers included in the captured images; dividing the first vector into a second vector according to a determination direction of a first action unit associated with the markers and a third vector according to a determination direction of a second action unit associated with the markers; and determining first occurrence intensity of the first action unit and second occurrence intensity of the second action unit based on the second vector and the third vector.

A method for controlling a vehicle is provided. The vehicle includes an image capturing device. The method includes: controlling the image capturing device to collect an image of a scene where the vehicle is located; acquiring projection information of a projection pattern in the image; determining image-altering information corresponding to the projection pattern according to the projection information; and controlling movement of the vehicle according to the image-altering information.