In a parking assistance device for moving a vehicle from a current location to a scheduled parking location and parking the vehicle at the scheduled parking location, parking information indicated by a parking assistance code includes obstacle information which is information about obstacles in a parking area, and target location information which is information about a target parking location. A route generation unit is configured to generate a parking route from a current location to a scheduled parking location that is set to the target parking location indicated by the target location information, while avoiding the obstacles indicated by the obstacle information.

In a parking assistance device for moving a vehicle from a current location to a scheduled parking location and parking the vehicle at the scheduled parking location, parking information indicated by a parking assistance code includes obstacle information which is information about obstacles in a parking area, and target location information which is information about a target parking location. A route generation unit is configured to generate a parking route from a current location to a scheduled parking location that is set to the target parking location indicated by the target location information, while avoiding the obstacles indicated by the obstacle information.

A computer-implemented system and method is disclosed for inventory management including an inventory machine, a medication tray, and at least one marker. A medication tray includes a plurality of compartments to receive medications and other items, where each compartment is designated as a receptacle for a specific item or type of item. A marker is provided for each item placed in a compartment, and insertion of a medication tray into an inventory machine enables components to scan for markers. The markers are configured to generate identifying data and other data related to an item upon being scanned by an imaging apparatus and processed by a decoder apparatus. The correct/incorrect location of items within a medication tray, among other information, is determined in an automated fashion as part of the computer-implemented inventory management system and method.

A computer-implemented system and method is disclosed for inventory management including an inventory machine, a medication tray, and at least one marker. A medication tray includes a plurality of compartments to receive medications and other items, where each compartment is designated as a receptacle for a specific item or type of item. A marker is provided for each item placed in a compartment, and insertion of a medication tray into an inventory machine enables components to scan for markers. The markers are configured to generate identifying data and other data related to an item upon being scanned by an imaging apparatus and processed by a decoder apparatus. The correct/incorrect location of items within a medication tray, among other information, is determined in an automated fashion as part of the computer-implemented inventory management system and method.

In some examples, a retroreflective article may include a retroreflective substrate, and an optical pattern embodied on the retroreflective substrate. The optical pattern may include a first optical sub-pattern and a second optical sub-pattern, wherein the optical pattern represents a set of information that is interpretable based on a combination of the first optical sub-pattern that is visible in a first light spectrum and the second optical sub-pattern that is visible in a second light spectrum. The first and second light spectra may be different.

In some examples, a retroreflective article may include a retroreflective substrate, and an optical pattern embodied on the retroreflective substrate. The optical pattern may include a first optical sub-pattern and a second optical sub-pattern, wherein the optical pattern represents a set of information that is interpretable based on a combination of the first optical sub-pattern that is visible in a first light spectrum and the second optical sub-pattern that is visible in a second light spectrum. The first and second light spectra may be different.

The present invention relates to a position recognition method comprising the steps of: measuring a space in a first direction by means of at least one measurement device provided in a vehicle; recognizing a first marker by means of the measurement means; computing first positional information of the vehicle; acquiring map information; and specifying comprehensive positional information of the vehicle, wherein the first marker includes a coordinate value of the first marker, the first positional information is a coordinate value of the vehicle computed through recognition of the first marker, and the step of specifying the comprehensive positional information combines the first positional information of the vehicle with the map information.

A method of logistics management based on QR code, the method includes: acquiring a video stream of a logistics box taken by a camera of a logistics box passing through an identification area, the logistics box having a corresponding QR code affixed to its surface; performing target detection on the video stream based on a predetermined neural network model to obtain a QR code image and a logistics box image, respectively; identifying the QR code image to generate QR code information; detecting and tracking the logistics box images in sequence to generate logistics box information; matching the QR code information and logistics box information, generating matching information, and updating logistics inventory information based on the matching information.

A method of logistics management based on QR code, the method includes: acquiring a video stream of a logistics box taken by a camera of a logistics box passing through an identification area, the logistics box having a corresponding QR code affixed to its surface; performing target detection on the video stream based on a predetermined neural network model to obtain a QR code image and a logistics box image, respectively; identifying the QR code image to generate QR code information; detecting and tracking the logistics box images in sequence to generate logistics box information; matching the QR code information and logistics box information, generating matching information, and updating logistics inventory information based on the matching information.

The present disclosure is generally directed to systems and methods for executing optical character recognition faster than at least some traditional OCR systems, without sacrificing recognition accuracy. Towards this end, various exemplary embodiments involve the use of a bounding box and a grid-based template to identify certain unique aspects of each of various characters and/or numerals. For example, in one embodiment, the grid-based template can be used to recognize a numeral and/or a character based on a difference in centerline height between the numeral and the character when a monospaced font is used. In another exemplary embodiment, the grid-based template can be used to recognize an individual digit among a plurality of digits based on certain parts of the individual digit being uniquely located in specific portions of the grid-based template.