A computer-implemented method includes receiving a decoded value multiple times from multiple respective devices. The decoded value is formed by decoding an image of a graphic. For each reception of the decoded value, a reward that is to be awarded for providing the decoded value is identified such that for any one reception of the decoded value, the reward is dependent in part on how many times the decoded value has been received.

Briefly, an intelligent label is associated with a good, and includes one or more permanent and irreversible electrochromic indicators that are used to report the condition of that good at selected points in the movement or usage of that good. These electrochromic indicators provide immediate visual information regarding the status of the good without need to interrogate or communicate with the electronics or processor on the intelligent label. In this way, anyone in the shipping or use chain for the good, including the end user consumer, can quickly understand whether the product is meeting shipping and quality standards. If a product fails to meet shipping or quality standards, the particular point where the product failed can be quickly and easily identified, and information can be used to assure the consumer remains safe, while providing essential information for improving the shipping process. It will be understood that the label may take many forms, such as a tag attached to the good, integrated into the packaging for the good, integrated into the good itself, or may even be an information area on a prepaid card for example. The label may also include, for example, print information regarding the good, usage or shipping rules, or address and coded information.

Embodiments are described in which information from multiple devices is merged through the exchange of linking information. For example, a two dimensional barcode is used associate information originating from different devices. In embodiments, information is associated with various levels of trust based on a variety of factors to quantify whether or not and to what extent collected information can be relied upon to be accurate. In embodiments, information from multiple sources is merged into a common transaction record that can be accessed through use of the linking information so the information can be efficiently retrieved even though it originated, or was captured, by different devices.

Vehicles in traffic cannot coordinate their actions properly in 5G and 6G without knowing the location and the wireless address of the other vehicle. GNSS signals are generally too slow and too imprecise to discern vehicles in, for example, adjacent lanes. Directional wireless beams are subject to reflections from conducting surfaces, producing chaotic signals and false locations if more than one vehicle is within the transmission beam. To provide precise localization in traffic, methods are disclosed for multiple vehicles (or other mobile devices) to acquire satellite signals simultaneously, and then analyze the data differentially, thereby canceling major uncertainties (such as propagation variations, ephemeris motion, and clock jitter), and thereby determining the relative positions precisely. Unlike prior-art “precision” positioning methods, the disclosed methods do not require averaging multiple acquisitions. On the contrary, examples show how high differential precision can be obtained without averaging, using measurements acquired at the predetermined time.

A method of modulating display imagery for barcode simulation is provided. Barcode information is received into a portable device. The portable device includes an image capture system, the image capture system including an image sensor that is configured to convert light into discrete signals. The image capture system has an image sensor controller that is configured to control the image sensor. The image capture system has an image processor that is configured to convert the discrete signals into formatted image data. The portable device has a display system having a display screen configured to display formatted image data. The barcode information is used to manipulate the image capture system such that the display screen displays a light simulated barcode.

Disclosed are a method and device for recognizing a two-dimensional bar code for improving the efficiency of recognizing the two-dimensional bar code. The method comprises: a relative position of a household appliance and a terminal device is determined during network configuration of the household appliance; a display parameter for displaying the two-dimensional bar code is determined according to the relative position, wherein the display parameter comprises a size of the two-dimensional bar code to be displayed and the two-dimensional bar code carries device information of the household appliance; the display parameter is sent to the household appliance to enable the household appliance to display a two-dimensional bar code picture according to the display parameter; and the two-dimensional bar code picture is recognized to obtain the device information of the household appliance.

A method of decoding a coherent RGB color barcode captured by a RGB camera includes: displaying a coherent RGB color barcode on the RGB display; capturing an image of the displayed barcode; performing a pilot block RGB color interference cancellation process to estimate a per pixel color interference; applying the per pixel color interference to the image of the displayed coherent RGB color barcode to extract each separate barcode of the coherent RGB color barcode; binarizing each of the three separate monochrome grey images of each barcode of the coherent RGB color barcode; and decoding each of the three separate binarized monochrome grey images to provide a decoded data for each barcode of the coherent RGB color barcode displayed on the RGB display. A method of decoding an incoherent RGB color barcode captured by a mobile device RGB camera is also described.

A method and apparatus for coupling electronic components to a smart wallet is disclosed. At least one compartment, the at least one compartment adapted to receive cash, a scanning device, the scanning device adapted to scan a document, and a display screen in electronic communication with the scanning device, the display screen adapted to display the document are also disclosed.

Software on an image-capturing device iteratively captures a visual code in a series of visual codes displayed in a repeating progression on a screen of a mobile device. The visual code was generated from a display block that resulted from a partition of an original data file into a series of display blocks of at least a specified size. The software converts the visual code back into a display block and reads a header for the display block, discarding the display block if it has already been captured, as determined by the ordered identifying block number in a header. The software stops the iterative capturing when all of the display blocks in the series have been captured, as determined by the count in the header and coalesces the captured display blocks into the original data file, using an order determined by the ordered identifying block numbers.

The techniques described herein enable a head-mounted display device to use a fiducial marker to identify an Internet of Things (IoT) device. The head-mounted display device can use the identifier to establish a network connection with the IoT device. For example, the identifier can include an Internet Protocol (IP) address, a Bluetooth address, a cloud IoT identifier (e.g., AZURE hub IoT identifier), or another type of an identifier. By using an electronic paper display, the IoT device can dynamically generate and display a new fiducial marker when a new identifier is assigned to the IoT device or is generated by the IoT device. Consequently, the head-mounted display device can detect the fiducial marker and extract the identifier for the IoT device from the fiducial marker so that the identifier can be used to establish a network connection with the IoT device.