Abstract: There are provided systems and methods relating to checking and confirming merchandise purchased at shopping facilities. In one form, the system includes: a shopping cart containing merchandise items to be purchased; a sales transaction database; a point-of-sales system that creates transaction records identified by transaction identifiers; and a mobile device used by an employee that includes a sensor to scan a paper or digital receipt to obtain the transaction identifier and a camera to capture images of the items in the shopping cart. The system also includes a control circuit that receives the transaction identifier, accesses the database using the identifier to determine the purchased items; analyzes the images of the merchandise items in the shopping cart and creates a computer vision receipt listing detected items; compares the purchased items with the detected items; and takes an action if there is a discrepancy.

Abstract: Disclosed are an audio synchronous circuit and an audio synchronous method. The audio synchronous circuit receives at least one beacon packet to generate WiFi time synchronization function (TSF) data, compares the WiFi TSF data with I2S TSF data according to a synchronous control signal to obtain a frequency offset, and compensates a digital audio clock according to the frequency offset. Thus, the audio synchronous circuit can adjust a frequency of the digital audio clock according to the frequency offset to complete synchronization with a transmitter, to avoid unpredictable delays caused by software processing and wireless channel competition, and achieve the purpose of more accurate time synchronization.

Abstract: A transaction record is created showing a purchase transaction of a customer. A CV profile showing a list of items in the transaction obtained from images is also obtained. The items in the transaction record are compared to items on the list. When there is a discrepancy, an action to take is determined.

Abstract: The present disclosure describes techniques for determining performance of a classifier. A first machine learning model and a second machine learning model may be trained by aggregating updates to the first machine learning model and the second machine learning model received from a plurality of client computing devices. A cumulative distribution function (CDF) associated with a distribution of the positive samples in the user data may be estimated using the trained first machine learning model. A probability density function (PDF) associated with a distribution of the negative samples in the user data may be estimated using the trained second machine learning model. An integration-based computation of an area under the receiver operating characteristic curve (AUC) of the classifier may be performed using the PDF and the CDF.

Abstract: An augmented reality (AR) interaction authoring system is described. The AR interaction authoring system is configured to support the real-time creation of AR applications to support AR-enhanced toys. The design of the AR interaction authoring system enables bidirectional interactions between the physical-virtual space of toys and AR. The AR interaction authoring system allows intuitive authoring of AR animations and toys actuations through programming by demonstration, while referring to the physical toy for a contextual reference. Using a visual programming interface, users can create bidirectional interactions by utilizing users' input on toys to trigger AR animations and vice versa. A plug-and-play IoT toolkit is also disclosed that includes hardware to actuate common toys. In this way, users can effortlessly integrate toys into the virtual world in an impromptu design process, without lengthy electronic prototyping.

Abstract: Disclosed is a true random number generator and a method for generating a true random number. The true random number generator includes a sampling circuit and a random number generating circuit. The sampling circuit is configured to sample N voltage(s) of N capacitors according to a clock signal and thereby generate N sample value(s), in which the N is a positive integer. The random number generating circuit is configured to generate a random number according to at least a part of the N sample value(s).

Abstract: A method capable of securely storing and loading firmware includes: dividing operating system environment into a secure world and a non-secure world wherein the secure world includes read-only memory and one-time programmable circuit configured within electronic device while non-secure world includes flash memory externally coupled to electronic device; reset handler of read-only memory performs boot up when system is powered up and is used to load initialization program code; using specific initialization program code to initialize decryption engine; obtaining key from one-time programmable circuit and loading key to configure decryption engine; reading cipher text of firmware from flash memory; decrypting cipher text of firmware to generate plain text of firmware; and determining whether secure boot procedure successfully completes according to cipher text and plain text.

Abstract: Disclosed is a true random number generator and a method for generating a true random number. The true random number generator includes a sampling circuit and a random number generating circuit. The sampling circuit is configured to sample N voltage(s) of N capacitors according to a clock signal and thereby generate N sample value(s), in which the N is a positive integer. The random number generating circuit is configured to generate a random number according to at least a part of the N sample value(s).