Provided is a labeling apparatus that generates a label for labeling a drug container at a healthcare facility. The labeling apparatus includes a code reader that reads a computer-readable code encoding a drug to be stored by the drug container and transmits a signal indicative of the identity of the drug in response to reading the computer-readable code. A non-transitory computer-readable memory stores a drug formulary comprising a plurality of drug entries. A processing component is configured to identify, from the formulary, the identity of the drug corresponding to the computer-readable code and receives a patient identity from a computer-accessible source. A printer is operable to print label content identifying the specific drug onto a label that is to be applied to the drug container. The label content includes the identity of the drug and the patient identity encoded by a label code that is computer-readable.

Systems and methods configured to determine a machine-readable optical code based on screen-captured video are disclosed. Exemplary implementations may: receive, via a user interface of a client computing platform, an indication to begin a screen-captured video; initiate, based on the indication, the screen-captured video; effectuate an image decoding machine configured to parse and decode images and/or the video frames for information embedded into the images and/or the video frames to: parse the video frames for a machine-readable optical code; for individual ones of the video frames with the machine-readable optical code, extract embedded information from the machine-readable optical code; and decode the embedded information for metadata; and effectuate, via the user interface, presentation of information derived from the metadata.

A mobile computing device enabled by a customizable data cognition layer (DCL) software program to convert input information from a variety of sensors into real-time contextual messages is disclosed. The DCL software incorporates customizable software components known as plug-ins to expand the use of the mobile computing device.

An aiming system for use in a small height scan engine chassis. The aiming system includes a beam source assembly generating an input beam along a central axis and a collimator assembly having a lens group that defines a tilt axis having a tilt angle, α, relative to the central axis, to deflect the input beam from the central axis onto the tilt axis. The collimator assembly further includes a recess within which a diffractive optical element is sealably mounted to convert the deflected input beam into an aiming pattern at a focal distance of the lens group.

A system for cryptographic wireless detection and authentication of fluids includes a computing device configured to receive, from a transmitter attached to a container, a unique identifier associated with a fluid contained in the container, locate, at an immutable sequential listing, at least an identifier-specific record using the unique identifier, and a lot identifier associated with the unique identifier, retrieve, from the immutable sequential listing, at least a lot-specific record using the lot identifier, capture, from the container, at least a secondary datum describing the container, generate an authenticity probability score as a function of the at least an identifier-specific record, the at least a lot-specific record, and the at least a secondary datum, and display to a user an output based on the authenticity probability score.

An apparatus for marking a component by applying readable identifying information is provided. The identifying information has at least one identifying feature, in particular an identifying symbol. The apparatus includes a detection device which is designed to detect, on the basis of an eddy current measurement, identifying information applied or to be applied to a component by way of the apparatus.

A mobile computing device enabled by a customizable data cognition layer (DCL) software program to convert input information from a variety of sensors into real-time contextual messages is disclosed. The DCL software incorporates customizable software components known as plug-ins to expand the use of the mobile computing device.

A system and a method for tracking items stored in a refrigerator which includes the identifying unit comprising a few known devices such as bar code reader or voice command processor for identifying the incoming and outgoing items also including an olfactory sensor. Said sensor in addition to identification is to be used also for assessing the items' degree of freshness for the purpose of determination of its actual expected maximum storage time—this determination will be made by the computer processor accessing the pertinent database(s) while using the digital smell signature for said access, when necessary. Said database will contain the storage data for opened or unpacked or cooked items for which the storage time data on the package is not applicable as well as possibly the items ingredients and the nutritional content. The items actual shelf storage location will be determined by means of the miniature motion detectors in combination with the optical scanners located in each shelf compartment or by means of making the shelves and the horizontal surfaces of compartments electrostatically charged and detecting the capacitative change. On the way in or out the item will be identified and the content of the appropriate section on display will be updated.

Systems and methods are provided for smart-landmark-based positioning. Such methods may include detecting, using a sensor mounted on a vehicle, a landmark object, obtaining landmark information of the detected landmark object, the landmark information including identification of the landmark object and an encrypted location of the landmark object, transmitting, from the vehicle over a wireless network, a query including at least part of the obtained landmark information, receiving, by the vehicle over the wireless network, a query response including additional information of the landmark.

A recognition apparatus includes one or more processors, a memory to store a plurality of instructions which, when executed by the processors, cause the processors to extract an optically-readable symbol from an optically captured image including an image of the optically-readable symbol, the optically-readable symbol including a first cell line having a plurality of first cells, and one or more second cell lines each having one or more second cells, each of the one or more second cell lines connected to respective ones of the plurality of first cells of the first cell line, recognize first information expressed by the first cell line included in the extracted optically-readable symbol, recognize second information expressed by the one or more second cell lines included in the extracted optically-readable symbol, and acquire identification information included in the optically-readable symbol based at least in part on the first information and the second information.