Abstract: A method for detecting a specific object based on a specific model includes: capturing a set of images, wherein objects in each image include a desired object; transmitting the set of images to a cloud server; in response to found objects being obtained from the set of images based on at least one object detection algorithm in the cloud server, displaying the found objects fora user to confirm which object is desired; in response to the desired object being confirmed from the found objects that are displayed, loading the specific model of the desired object from the cloud server, wherein the specific model of the desired object is trained on the cloud server based on at least the set of images and related CNN algorithm; and performing the specific model to detect the specific object on a captured image.

Abstract: Semiconductor devices and methods of manufacture which utilize lids in order to constrain thermal expansion during annealing are presented. In some embodiments lids are placed and attached on encapsulant and, in some embodiments, over first semiconductor dies. As such, when heat is applied, and the encapsulant attempts to expand, the lid will work to constrain the expansion, reducing the amount of stress that would otherwise accumulate within the encapsulant.

Abstract: A method for detecting a specific object based on a specific model includes: capturing a set of images, wherein objects in each image include a desired object; transmitting the set of images to a cloud server; in response to found objects being obtained from the set of images based on at least one object detection algorithm in the cloud server, displaying the found objects fora user to confirm which object is desired; in response to the desired object being confirmed from the found objects that are displayed, loading the specific model of the desired object from the cloud server, wherein the specific model of the desired object is trained on the cloud server based on at least the set of images and related CNN algorithm; and performing the specific model to detect the specific object on a captured image.

Abstract: A monitoring device and an operation method thereof are provided to detect whether an object of interest appears in a video stream. The monitoring device includes a motion calculation circuit, a motion region determination circuit and a computing engine. The motion calculation circuit performs motion calculation on a current frame in the video stream to generate a motion map. The motion region determination circuit determines a motion region in the current frame according to the motion map. The motion region determination circuit notifies the computing engine with the motion region in the current frame. The computing engine performs an object of interest detection on the motion region in the current frame of the video stream to generate a detection result. The motion region determination circuit determines whether to ignore the motion region in a subsequent frame after the current frame according to the detection result.

Abstract: A monitoring device and an operation method thereof are provided to detect whether an object of interest appears in a video stream. The monitoring device includes a motion calculation circuit, a motion region determination circuit and a computing engine. The motion calculation circuit performs motion calculation on a current frame in the video stream to generate a motion map. The motion region determination circuit determines a motion region in the current frame according to the motion map. The motion region determination circuit notifies the computing engine with the motion region in the current frame. The computing engine performs an object of interest detection on the motion region in the current frame of the video stream to generate a detection result. The motion region determination circuit determines whether to ignore the motion region in a subsequent frame after the current frame according to the detection result.