Techniques are described with regard to determining and controlling a location and status of assets directly and/or indirectly. The techniques may be used to track and control the respective locations and status of any number of objects. Applications include but are not limited to tracking dry and refrigerated trailers and their status in a supply-chain yard; tracking pallets and boxes and their status in a warehouse; tracking items in a retail environment; tracking finished goods and work in progress in and around a manufacturing plant; tracking vehicles in a parking lot; tracking cargo and equipment at an airport; tracking equipment in a lay down yard; etc. In all cases the laborious and error prone data gathering is replaced with automated data collection methods reducing cost, increasing accuracy, and increasing efficiency.

A check-out system according to an embodiment includes an image capturing device that captures an image of a merchandise item. A processor determines whether the captured image includes a symbol on the merchandise item corresponding to a merchandise ID. If the captured image includes the symbol, the processor retrieves the merchandise ID. If the captured image does not include the symbol, the processor identifies the merchandise item based on an object recognition processing. The processor retrieves a corresponding merchandise ID and a merchandise category. The processor determines whether the merchandise item is likely to include the symbol based on the merchandise category. If the merchandise item likely includes the symbol, the processor controls a display to display a message instructing an operator to check for the symbol. The processor performs a settlement processing with respect to the merchandise items corresponding to one or more of the retrieved merchandise IDs.

A method and system are proposed for presenting information relating to a product to a potential customer for the product, upon the user scanning a 2D barcode using a mobile device. The information is presented to the customer as a story generated by an agent-based storytelling system. The story is personalized to the customer using online multimedia. It can be used to conduct mobile branding and advertisement, and is able thereby to augment offline shopping with online shopping experience.

Systems and methods are described for acquiring and decoding a plurality of images. First images are acquired and then processed to attempt to decode a symbol. Contributions of the first images to the decoding attempt are identified. An updated acquisition-settings order is determined based at least partly upon the contributions of the first images to the decoding attempt. Second images are acquired or processed based at least partly upon the updated acquisition-settings order.

A method for determining the authenticity of an identity document is provided that includes capturing, by an electronic device, image data of an identity document. The identity document has a first side and a second side. The image data includes an image of the first side and an image of the second side. The first side includes data about a person associated with the identity document and second side includes a PDF417 barcode which has features. The method also includes determining a class of the identity document. The features of the PDF417 barcode adhere to criteria established for the determined class of the identity document. Moreover, the method includes analyzing the features of the PDF417 barcode for anomalies. In response to determining the features of the PDF417 barcode are free of anomalies, the identity document is determined to be authentic. Otherwise, the identity document is determined to be fraudulent.

This disclosure relates to electronically linking offline user activity to online activity of that user. Linking offline to online activity provides real-time feedback on traffic flow from a machine-readable label (“MRL”) scan to a conversion event on a target website. Linking offline to online activity enables tracking of specific MRLs and conversion events associated therewith. Linking offline to online activity enables calculating benchmarks such as time to conversion event and best performing conversion locations for an MRL. Linking offline to online activity enhances security and data quality as each conversion event can be traced back to a unique MRL scan and a timestamp and geolocation associated with the unique MRL scan.

A driver login device includes: a network communication unit in communication with the server via a network; an image pickup device capturing a target to obtain a login data; an image processing unit electrically coupled to the image pickup unit, and receiving and processing the login data to obtain a digital data; and a central processing unit electrically coupled to the network communication unit, the image pickup device and the image processing unit. The central processing unit, by way of the network communication unit, receives the data of the driver from the server via the network, controls the image pickup device to capture the target, comparing the digital data with the data of the driver to generate a comparing result, and by way of the network communication unit, transmitting the comparing result back to the server via the network.

A system for processing barcode information provided by the user, which may be used to print and encode RFID-enabled product labels. The system may include a bar code scanner or may include a manual bar code entry interface such as a keyboard and mouse, and may be configured to output a label corresponding to a barcode once the barcode has been scanned, optionally with user customization by an operator and optionally including variable data provided through a variable data module. This system may allow for the calculation of EPC values, the tracking of serial values used in the printing process, exporting of the printing history, and printing and encoding of tag.

A terminal device may obtain a public key and target identification information from a communication device, search for the communication device via a wireless interface of the terminal device, based on the target identification information and a result of the search for the communication device, determine whether the communication device is to establish a wireless connection with an external device or with the terminal device, in a case where it is determined that the communication device is to establish the wireless connection with the external device, send first connection information to the communication device, in a case where it is determined that the communication device is to establish the wireless connection with the terminal device, send second connection information different from the first connection information to the communication device, establish the wireless connection with the communication device via the wireless interface by using the second connection information.

This application relates to a target detection method performed at a computer device. The method includes: obtaining a to-be-detected image; extracting a first image feature and a second image feature corresponding to the to-be-detected image; performing dilated convolution to the second image feature, to obtain a third image feature corresponding to the to-be-detected image; performing classification and regression to the first image feature and the third image feature, to determine candidate position parameters corresponding to a target object in the to-be-detected image and degrees of confidence corresponding to the candidate position parameters; and selecting a valid position parameter from the candidate position parameters according to their corresponding degrees of confidence, and determining a position of the target object in the to-be-detected image according to the valid position parameter. The solutions in this application can improve robustness and consume less time.