Apparatuses and methods of reading DPM codes on objects therewith are provided. An apparatus includes a housing and a first imaging assembly housed within the housing and includes a first image sensor. The apparatus also has a second imaging assembly housed within the housing and includes a second image sensor. The apparatus also includes an illumination assembly configured to provide an illumination light having a central illumination axis. At least two of a FOV central axis of the first imaging assembly, a second FOV central axis of the second imaging assembly, and the central illumination axis pass through a plane within a first distance of no greater than about 40 mm of each other. The plane being (i) normal to the first FOV central axis and (ii) a second distance between about 0 to about 5 inches from a nose of the housing.

Methods and systems include using three-dimensional imaging apparatuses to capture three-dimensional images and analyze resulting three-dimensional image data to enhance captured two-dimensional images for scanning related processes such as object identification, symbology detection, object recognition model training, and identifying improper scan attempts or other actions performed by an operator. Imaging systems such as bi-optic readers, handheld scanners, and machine vision systems are described using three-dimensional imaging apparatuses and described capturing three-dimensional images and using with captured two-dimensional images.

Various embodiments illustrated herein disclose a method comprising receiving, by a processor, one or more patient characteristics associated with a first patient. The one or more patient characteristics comprises at least a type of sanitization, and/or a frequency of sanitization usage. Further, the method includes receiving one or more image characteristics associated with an image of a patient bracelet worn by the first patient. The method further includes training a machine learning (ML) model defining a relation between the one or more patient characteristics and the one or more image characteristics. The ML model is utilized to predict a count of days until the patient bracelet, associated with a second patient, deems unusable. Additionally, the method includes generating an instruction to a printing apparatus to print a new patient bracelet for the second patient based on the count of days being less than a predetermined number of days threshold.

A reduced size optical code identifier includes a transparent body having a flat bottom surface with a rounded or domed top surface that meets the bottom surface around the perimeter of the bottom surface. An optical code is provided in the body adjacent the bottom surface and is visible through the top surface. The top surface is configured to reduce reflection to facilitate optical recognition and decoding of the optical code. The body has a maximum length or diameter of about twelve millimeters or less. The identifier can be placed on an object or structure and then used to associate information with the optical code of the identifier so that the information can be retrieved using a computing device that can optically recognize the code and communicate with a remote server.

Examples of systems and methods for a wearable system to automatically select or filter available user interface interactions or virtual objects are disclosed. The wearable system can select a group of virtual objects for user interaction based on contextual information associated with the user, the user's environment, physical or virtual objects in the user's environment, or the user's physiological or psychological state.

A method of processing a purchase transaction includes generating a transaction file containing a product code, which is transmitted from a user computing device when an image of a product code identifier is captured by the user computing device, a first user ID of the customer, and an indicator of whether or not the customer has opted in to receive electronic receipts. The method further includes generating an electronic receipt based on the transaction file, storing a conversion table containing the first and second user IDs of the customer, converting the first user ID contained in the transaction file to the second user ID based on the conversion table, when the indicator indicates that the customer has opted in, and storing the electronic receipt in association with the second user ID. The electronic receipt is transmitted in response to a request for electronic receipts associated with the second user ID.

Methods, systems, and computer program products for storing data in, and reading data from, machine-readable optical labels are disclosed. A machine-readable optical label includes a data storage layer and a substrate having a reflective surface. The data storage layer defines a plurality of data storage patterns in each of a corresponding number of absorption bands. Each of the data storage patterns encodes a portion of the data stored in the label as a reflectivity of the label in the absorption band of the data storage pattern. The label is read by capturing images of the label in each of a plurality of color channels, with each color channel including one absorption band and excluding the other absorption bands. The data stored by each data storage pattern is then decoded from the image in the corresponding color channel.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identity verification are provided. One of methods, implemented by a mobile terminal device, includes: obtaining a device identifier of a service device configured to provide a service based on a digital key; uploading the device identifier to a server in communication with the service device and the mobile terminal device and storing registration information of service devices, to cause the server to perform validity verification on the device identifier; in response to receiving a result indicating the device identifier is valid, collecting identity feature information of a user; uploading the identity feature information of the user to the server, to cause the server to perform identity verification on the user based on the identity feature information; and obtaining the digital key issued by the server in response to the identity verification being successful.

Methods and systems include using three-dimensional imaging apparatuses to capture three-dimensional images and analyze resulting three-dimensional image data to enhance captured two-dimensional images for scanning related processes such as object identification, symbology detection, object recognition model training, and identifying improper scan attempts or other actions performed by an operator. Imaging systems such as bi-optic readers, handheld scanners, and machine vision systems are described using three-dimensional imaging apparatuses and described capturing three-dimensional images and using with captured two-dimensional images.

Various embodiments illustrated herein disclose a method comprising receiving, by a processor, one or more patient characteristics associated with a first patient. The one or more patient characteristics comprises at least a type of sanitization, and/or a frequency of sanitization usage. Further, the method includes receiving one or more image characteristics associated with an image of a patient bracelet worn by the first patient. The method further includes training a machine learning (ML) model defining a relation between the one or more patient characteristics and the one or more image characteristics. The ML model is utilized to predict a count of days until the patient bracelet, associated with a second patient, deems unusable. Additionally, the method includes generating an instruction to a printing apparatus to print a new patient bracelet for the second patient based on the count of days being less than a predetermined number of days threshold.