Abstract: A video monitoring method that involves determining motion changes in a set of video frames to find potential objects is described. One or more bounding boxes are defined around the potential objects. These bounding boxes are spatially and temporally filtered to eliminate potential object candidates, with only potential objects in the bounding boxes remaining after filtering being classified or identified.

Abstract: A method for processing arrival or removal of packages within the field of view of a video camera includes providing a database for recording packages placed in the field of view. Based on real-time analysis of successive image frames in the camera, a human person's entry and exit from the field of view of the camera is also detected. Delivery or removal of objects is recorded in the database. In one embodiment, the method also determines whether or not a newly arrived package is placed alongside or on top of an existing package.

Abstract: A method for processing arrival or removal of packages within the field of view of a video camera includes providing a database for recording packages placed in the field of view. Based on real-time analysis of successive image frames in the camera, a human person's entry and exit from the field of view of the camera is also detected. Delivery or removal of objects is recorded in the database. In one embodiment, the method also determines whether or not a newly arrived package is placed alongside or on top of an existing package.

Abstract: A video monitoring method that involves determining motion changes in a set of video frames to find potential objects is described. One or more bounding boxes are defined around the potential objects. These bounding boxes are spatially and temporally filtered to eliminate potential object candidates, with only potential objects in the bounding boxes remaining after filtering being classified or identified.

Abstract: Embodiments of the present disclosure include a non-transitory computer-readable medium with computer-executable instructions stored thereon executed by one or more processors to perform a method to select and implement a neural network for an embedded system. The method includes selecting a neural network from a library of neural networks based on one or more parameters of the embedded system, the one or more parameters constraining the selection of the neural network. The method also includes training the neural network using a dataset. The method further includes compressing the neural network for implementation on the embedded system, wherein compressing the neural network comprises adjusting at least one float of the neural network.

Abstract: A backlight module includes a frame, a plurality of light tubes disposed on the frame, an optical sheet, a first light tube fixing component disposed on a side of the frame, and a second light tube fixing component disposed on a bottom surface of the frame. The frame includes a plurality of holes defined on a bottom surface of the frame. The first light tube fixing component is used for fixing the plurality of light tubes on the frame. The first light tube fixing component includes light proof member and a light reflective component. The light proof member is used for blocking light from the plurality of light tubes. The light reflective component is used for reflecting light from the plurality of light tubes toward the optical sheet. The light proof member and the light reflective component are integrally formed.

Abstract: A method for adjusting rotation speed of a driving motor in a disk drive prior to power on of a computer, includes: (i) inputting an external signal into the disk drive; (ii) converting the external signal into a predetermined value in such a manner to replace a default value stored within a memory device by the predetermined value such that the memory device is eventually stored with the predetermined value; and (iii) rotating the driving motor according to the predetermined value.

Abstract: A method for adjusting rotation speed of a driving motor in a disk drive prior to power on of a computer, includes: (i) inputting an external signal into the disk drive; (ii) converting the external signal into a predetermined value in such a manner to replace a default value stored within a memory device by the predetermined value such that the memory device is eventually stored with the predetermined value; and (iii) rotating the driving motor according to the predetermined value.