Abstract: A system, method, and apparatus for augmenting reality with true-to-size apparel and even accessories is provided. Such system, method, and apparatus may be performed by or at a personal electronic device such as a smartphone. The personal electronic device may be configured to capture and display in real time, as desired, a scene containing at least a portion of a targeted body and identify plurality of keypoints such as joints, features, and outlines, on such body. The personal electronic device may be further configured to generate a three-dimensional mesh of the body and correlate keypoints of three-dimensionally rendered clothing and accessories with the body keypo its. The size of such body and clothing and accessories may be accurately digitally displayed relative to one another.

Abstract: An intelligent system and method for anomaly, such as crime, detection is provided. In some embodiments, the system may comprise a computing device, defined by a generator and a discriminator, and at least one video camera. The generator may generate synthetic data and real data and, in turn, the discriminator may evaluate and classify the synthetic data and the real data as real or synthetic. In other embodiments, the computing device may be trained so as to classify the synthetic data and the real data as normal or anomaly. In further exemplary embodiments, the video camera may capture a plurality of live action events and generate video data, which the video camera may then transmit to the computing device. The computing device may then classify the live action events as normal or anomaly. In embodiments where the live action events may be classified as anomaly, an appropriate authority may be notified so as to provide decreased response times and ultimately, improve safety and prevent crimes.

Abstract: An intelligent system and method for anomaly, such as crime, detection is provided. In some embodiments, the system may comprise a computing device, defined by a generator and a discriminator, and at least one video camera. The generator may generate synthetic data and real data and, in turn, the discriminator may evaluate and classify the synthetic data and the real data as real or synthetic. In other embodiments, the computing device may be trained so as to classify the synthetic data and the real data as normal or anomaly. In further exemplary embodiments, the video camera may capture a plurality of live action events and generate video data, which the video camera may then transmit to the computing device. The computing device may then classify the live action events as normal or anomaly. In embodiments where the live action events may be classified as anomaly, an appropriate authority may be notified so as to provide decreased response times and ultimately, improve safety and prevent crimes.