Disclosed herein are components, systems, and methods of a scanning system that operates in a retail environment to deter and prevent theft of items. The systems and methods include a plurality of imagers to capture a plurality of images of the item, and identifying key feature locations of the item based on the captured images. The systems and methods include a scanner to read a machine-readable symbol attached to the item, and accessing a database that includes stored key feature data associated with the specific machine-readable symbol attached to the item. The systems and methods further include one or more processors that generate key feature data for the item based on the key feature locations, compares the stored key feature data with the generated key feature data, and determines whether the stored key feature data matches the generated key feature data to a degree sufficient to surpass a predetermined threshold.

The present invention discloses a method for producing graphical indicators and interactive systems for utilizing the graphical indicators. On the surface of an object, visually negligible graphical indicators are provided. The graphical indicators and main information, i.e. text or pictures, co-exist on the surface of object. The graphical indicators do not interfere with the main information when the perception of human eyes are concerned. With the graphical indicators, further information other than the main information on the surface of object are carried. In addition to the main information on the surface of object, one is able to obtain additional information through an auxiliary electronic device or trigger an interactive operation.

A barcode scanner device 200 is formed as a wrist watch with a main body 210 and strap 220 and includes a camera 211 to capture an image of a barcode 11. The scanner 200 generates an inventory request message sent by a communication interface 215 to a local server 30 based on the captured barcode. In a capture mode, live camera images may be displayed on touch-screen display 212 while capturing the barcode with guides and feedback for the user. In a display mode, inventory data from database 32 may be accessed in a large data field on the touch screen display 212.

Feedback information is an important aspect in all machine learning systems. In robot systems that are picking objects from a plurality of objects this has been arranged by acquiring images of objects that have been picked. When images are acquired after picking they can be imaged accurately and the information about picking and also dropping success can be improved by using acquired images as a feedback in the machine learning arrangement being used for controlling the picking and dropping of objects.

In order to reduce the labor and processing load required during list production and list verification without requiring a specialized reading apparatus, and achieve sufficient identification performance, this management system includes a list storage means that stores a list of objects to be managed, an identification image generating means that detects, from an input image, an identifying part of the objects to be managed and generates the identification image in which the identifying part detected is depicted at a predetermined orientation and size in an image region, an identification image recording means that, when a first image capturing the identifying part of an object to be managed is inputted, records an identification image generated from the first image in the list of objects to be managed as the identification image of a designated identification unit and an identification image verification means that, when a second image capturing the identifying part of an object to be managed is inputted, uses an identification image generated from the second image as a key image, and verifies the key image against respective identification images recorded in the list of objects to be managed.

Provided is machine learning apparatus comprising: a dataset for input to a training procedure of a machine learning model; data capture logic operable to capture from an object at least one datum for inclusion in the dataset; association logic operable to derive an additional characteristic of the object; annotator logic operable in response to the data capture logic and the association logic to create an annotation linking the additional characteristic with the at least one datum; storage logic operable to store the or each datum with an associated annotation in the dataset; and input logic to supply the dataset as machine learning input.

A barcode-reading system for a mobile device may include a camera assembly. The barcode-reading system may include a barcode-reading enhancement accessory and a barcode-reading application. The barcode-reading enhancement accessory may be securable to the mobile device and may be configured to provide an indication of license entitlement to the mobile device. The barcode-reading application may be stored in memory of the mobile device and executable by a processor of the mobile device. The barcode-reading application may also be configured to enable an enhanced mode of operation of the barcode-reading application conditional upon determining obtaining the license entitlement from the accessory.

In some implementations, a system may receive, from a barcode reader, read data associated with the barcode reader reading a barcode associated with a product. The system may receive, from an imager, image data associated with an image that depicts packaging of the product. The system may decode the read data to obtain product information that is associated with the product. The system may generate a product entry that associates the product information with the image data. The system may perform an action associated with the product entry to enable an image processing model to identify the product information based on the packaging depicted in the image.

Embodiments of the disclosure relate generally to imaging devices and indicia reading devices. An imaging apparatus comprises an image sensor, an optical window positioned in front of the image sensor and a light source enclosing a perimeter of the optical window such that an illumination cone of the light source overlaps a portion of a near field of view cone of the imaging apparatus. The portion of the near field of view cone extends from a surface of the optical window to a threshold distance from the optical window. The light source is configured to produce a first illumination along a first direction extending towards a scene to be imaged.

An image display method includes: obtaining an image to be displayed in an object to be played; determining a code corresponding to the image to be displayed; and controlling a display device to play the object to be played and output a light signal corresponding to the code when the image to be displayed is displayed.