Abstract: The present disclosure provides a system for data networking. The system includes a plurality of asynchronous data devices including a router device and a set of station devices. The system further includes a main-subordinate communication protocol interface. Each of the plurality of asynchronous data devices is coupled to the main-subordinate communication protocol interface. Data is transmitted over a two-wire bus between the router device and the set of station devices via the main-subordinate communication protocol interface.

Abstract: Disclosed herein are systems and techniques for content protection over synchronous data networks. For example, a method of communicating content protected data may include providing link synchronization information over a link of a synchronous bus, and providing content protected data over the link of the synchronous bus. The content protected data may be protected in accordance with the High-Bandwidth Digital Content Protection (HDCP) specification or the Digital Transmission Content Protection (DTCP) specification, for example.

Abstract: Disclosed herein are systems and techniques for content protection over synchronous data networks. For example, a method of communicating content protected data may include providing link synchronization information over a link of a synchronous bus, and providing content protected data over the link of the synchronous bus. The content protected data may be protected in accordance with the High-Bandwidth Digital Content Protection (HDCP) specification or the Digital Transmission Content Protection (DTCP) specification, for example.

Abstract: An exemplary object detection method includes generating feature block components representing an image frame, and analyzing the image frame using the feature block components. For each feature block row of the image frame, feature block components associated with the feature block row are evaluated to determine a partial vector dot product for detector windows that overlap a portion of the image frame including the feature block row, such that each detector window has an associated group of partial vector dot products. The method can include determining a vector dot product associated with each detector window based on the associated group of partial vector dot products, and classifying an image frame portion corresponding with each detector window as an object or non-object based on the vector dot product. Each feature block component can be moved from external memory to internal memory once implementing the exemplary object detection method.

Abstract: An exemplary object detection method includes generating feature block components representing an image frame, and analyzing the image frame using the feature block components. For each feature block row of the image frame, feature block components associated with the feature block row are evaluated to determine a partial vector dot product for detector windows that overlap a portion of the image frame including the feature block row, such that each detector window has an associated group of partial vector dot products. The method can include determining a vector dot product associated with each detector window based on the associated group of partial vector dot products, and classifying an image frame portion corresponding with each detector window as an object or non-object based on the vector dot product. Each feature block component can be moved from external memory to internal memory once implementing the exemplary object detection method.