Abstract: A test base cleaning line and a method thereof are provided. The test base cleaning line includes a plurality of cleaning mechanisms, a scanning device, and a moving device. The scanning device is configured for scanning a barcode on a test base to identify a type of the test base, and the moving device is configured for moving the test base to any one of the plurality of cleaning mechanisms according to the type of the test base so that the cleaning mechanism can perform a cleaning operation to the test base.

Abstract: A test base cleaning line and a method thereof are provided. The test base cleaning line includes a plurality of cleaning mechanisms, a scanning device, and a moving device. The scanning device is configured for scanning a barcode on a test base to identify a type of the test base, and the moving device is configured for moving the test base to any one of the plurality of cleaning mechanisms according to the type of the test base so that the cleaning mechanism can perform a cleaning operation to the test base.

Abstract: A probe implanting equipment including: a base; a test socket disposed on the base and having a plurality of positioning holes; a mouthpiece configuration configured for providing a plurality of probes to the plurality of positioning holes; and a vibration device disposed on the base for effectively positioning the probes in the positioning holes of the test socket via vibration.

Abstract: An electronic package and a manufacturing method thereof are provided, in which an electronic element and a heat dissipation structure covering the electronic element are disposed on a carrier structure, and the electronic element is covered with a cladding layer. The heat dissipation structure has convex portions facing the carrier structure, so that the bonding area between the heat dissipation structure and the cladding layer is increased via the convex portions, thereby preventing the problem of peeling from occurring to the heat dissipation structure.

Abstract: A system and method for providing high resolution image through super-resolution reconstruction. The system comprises a frame buffer, a convolutional neural network module, an image processing module, and a bi-directional prediction module. After the frame buffer has received high-resolution image with low frames per second and low-resolution image with high frames per second, both are captured by an image capturing module, image processing with super-resolution reconstruction can be performed through the cooperation of the convolutional neural network module, the image processing module and the bi-directional prediction module. In other words, a frame with super-resolution can be calculated through a well-trained convolutional neural network.

Abstract: A system and method for providing high resolution image through super-resolution reconstruction. The system comprises a frame buffer, a convolutional neural network module, an image processing module, and a bi-directional prediction module. After the frame buffer has received high-resolution image with low frames per second and low-resolution image with high frames per second, both are captured by an image capturing module, image processing with super-resolution reconstruction can be performed through the cooperation of the convolutional neural network module, the image processing module and the bi-directional prediction module. In other words, a frame with super-resolution can be calculated through a well-trained convolutional neural network.

Abstract: Segmentation-based techniques to display video content highlighting a subject of interest are disclosed. In various embodiments, visual content data comprising a frame of video content or a single image data is received. For each of at least a subsets of pixels comprising the visual content data a probability that the pixel is associated with an object of interest is determined. A likelihood map that identifies portions of the visual content data determined to be associated with the object of interest is determined for the visual content data based at least in part on said pixel-level probabilities. A mask layer configured to be combined with the visual content data to provide a modified visual content data in which the object of interest is highlighted is generated based at least in part on the likelihood map.