Abstract:
An apparatus, system, and method for examining authenticity of printed material and distinguishing between original printed material and counterfeit printed material is disclosed. In one embodiment, the method is performed by a mobile device. The mobile device recognizes a reference point on a page of the printed material, computes a color balance ratio for that reference point, and compares the computed color balance ratio to an expected value for original printed material. Based on the comparison between the computed color balance ratio and the expected value, a determination is made as to the authenticity of the printed material. If the printed material is authentic, the mobile device may provide supplementary, complementary and/or additional information and content, for example, information related to the page or chapter of the printed material. If the printed material is not authentic, the mobile device may inhibit the presentation of additional material.
Abstract:
Embodiments include devices and methods for processing an image captured by an image sensor of an unmanned autonomous vehicle (UAV). A processor of the UAV may determine a body coordinate matrix of the UAV. The processor may determine an estimated rotation of the image sensor of the UAV. The processor may determine an estimated rotation of the UAV. The processor may transform an image captured by the image sensor based on the body coordinate matrix, the estimated rotation of the image sensor, and the estimated rotation of the UAV.
Abstract:
Methods, computer-readable medium, and apparatus are described for adjusting uplink communication at a user equipment (UE) during wireless communication. The described aspects include determining uplink communication characteristic information corresponding to an uplink data rate based on one or more measurement values associated with transmissions by a modem on an uplink communication channel. Further, the described aspects include determining an adjusted uplink data rate based at least in part on the uplink communication characteristic information. Additionally, the described aspects include adjusting data transmission rate of an application layer entity based at least in part on the adjusted uplink data rate.
Abstract:
Certain aspects of the present disclosure are generally directed to apparatus and techniques for event state detection. One example method generally includes receiving a plurality of sensor signals at a computing device, determining, at the computing device, probabilities of sub-event states based on the plurality of sensor signals using an artificial neural network for each of a plurality of time intervals, and detecting, at the computing device, the event state based on the probabilities of the sub-event states via a state sequence model.
Abstract:
Embodiments include devices and methods for processing an image captured by an image sensor of a robotic vehicle. A processor of the robotic vehicle may calculate an image output orientation matrix for an image that is output by the image sensor. The processor may calculate image sensor orientation matrix the image sensor. The processor may calculate a body orientation matrix of the robotic vehicle. The processor may transform the image captured by the image sensor based on the image output orientation matrix, the image sensor orientation matrix, and the body orientation matrix.