The present invention relates to a container, a package, a production system, and a distribution system. The container comprises a first identification and a second identification. The first identification is unique for identifying the container and is not exposed. The second identification is unique for identifying the container and is accessible. The second identification is different from the first identification. The second identification is associated with the first identification. The distribution system comprises a processor and a memory. The memory includes instructions causing the processor to perform operations. The operations include: inputting a first identification and a second identification of a first container, wherein the first identification and the second identification are different from each other and are unique for identifying the first container, the first identification is not exposed, and the second identification is accessible; and associating the second identification and the first identification.

Various embodiments are generally directed to techniques utilizing computers to determine one or more locations for a customer to pickup a product based on a trained models. Embodiments may also include generating a code that may be utilized to obtain the product and perform a verification operation.

Devices, systems, and methods for contactless vehicle codes are presented. A method may include receiving, by a vehicle, a first request to present a code associated with an activity. The method may include sending a second request to a device, the second request indicative of the activity. The method may include receiving, from the device, the code, wherein the code includes information associated with the activity. The method may include presenting, using a display of the vehicle, the code.

According to one embodiment of the present invention, a tube opening and closing device capable of opening and closing a lid of a tube and comprising a container, a lid coupled to the container so as to enable the container to be blocked, and a joint part for connecting the container and a first side of the lid comprises: a tube supporting rack having a plurality of openings formed on one surface thereof, wherein the containers of the tubes can be inserted into each of the plurality of openings; an opening and closing part positioned at an upper part of the tube supporting rack, rotating around a first rotary shaft and having a coupling groove in which a second side of the lid, which faces the first side of the tube, can be accommodated; and a driving part for rotating the opening and closing part, wherein the lid can be opened and closed with respect to the container through the rotation of the opening and closing part.

A cube for use in a restaurant allowing patrons to more easily notify their server they are in need of something. The cube is equipped with a lighting mechanism that adjusts colors that represent the status of the patrons dining. The cube contains a shell that has an upper surface and lower surface separated by an indent. The cube has a pair of switches that reside within a divot slightly larger in size that the switch. The charging station for the cube has a dock, a layer, and a power supply. The dock has a base equipped with a plurality of dock base towers, each having a plurality of dock tower connections. The dock base has a plurality of base supports each having a central plug. The layer also has layer connection towers each equipped with layer tower connections allowing the layer to function in tandem with the dock base.

Embodiments of the present disclosure provide a method for monitoring/tracking the lifecycle of a drug from build (e.g., as part of clinical trial development), to approval (e.g., regulatory), to in-market (e.g., distribution and safety information). The use of artificial intelligence (AI) and blockchain technology may enable the system to track the drug down to the prescription level and may support a digital label that can be updated as necessary based on such monitoring (e.g., that can be amended based on safety information detected while the drug is in market and warnings sent out upon amendment).

Embodiments of the present disclosure provide a method for monitoring/tracking the lifecycle of a drug from build (e.g., as part of clinical trial development), to approval (e.g., regulatory), to in-market (e.g., distribution and safety information). The use of artificial intelligence (AI) and blockchain technology may enable the system to track the drug down to the prescription level and may support a digital label that can be updated as necessary based on such monitoring (e.g., that can be amended based on safety information detected while the drug is in market and warnings sent out upon amendment).

A label issuing system includes a label issuing apparatus and a label printer. The label issuing apparatus includes a printer interface and a processor. The processor is configured to generate print data for an image including a first region with first information and a second region with a first code symbol and a second code symbol each representing the first information but being of different sizes. The processor controls the printer interface to transmit the print data to the label printer. The label printer is connectable to the printer interface and configured to print the image on a label based on the print data received through the printer interface symbol.

Embodiments of the present disclosure provide improved user identity validation. Embodiments of the present disclosure provide accurate and secure user identity validation in contexts where existing user validation algorithm(s), for example facial recognition algorithms, fail due to obfuscation of user physical characteristic(s) by clothing, equipment such as PPE masks, and the like. Some example embodiments receive captured data associated with a user, the captured data comprising at least imaging data associated with the user, detect, from the imaging data, machine decodable data associated with the user, determine an asserted user identity associated with the user by decoding the machine decodable data, and validate the asserted user identity associated with the user utilizing at least a remaining portion the captured data.

Various embodiments are generally directed to techniques utilizing computers to determine one or more locations for a customer to pickup a product based on a trained models. Embodiments may also include generating a code that may be utilized to obtain the product and perform a verification operation.