According to the some non-limiting embodiments, there is provided an information processing apparatus including a display control unit 13 that causes a display provided on a surface on which an object is placed, to display a first image including a predetermined display element, and a conversion rule generation unit 15 that acquires a second image generated by an imaging apparatus having an imaging range including the display and generates a conversion rule for converting coordinates in the image of the imaging apparatus into coordinates in the display, by using a detection result of the display element in the second image.

An item recognition system uses a top camera and one or more peripheral cameras to identify items. The item recognition system may use image embeddings generated based on images captured by the cameras to generate a concatenated embedding that describes an item depicted in the image. The item recognition system may compare the concatenated embedding to reference embeddings to identify the item. Furthermore, the item recognition system may detect when items are overlapping in an image. For example, the item recognition system may apply an overlap detection model to a top image and a pixel-wise mask for the top image to detect whether an item is overlapping with another in the top image. The item recognition system notifies a user of the overlap if detected.

A sensing and digital display type weighing and code scanning integrated machine with a damping and dust-proof smart case includes a case device. A weigher is placed at an upper end of the case device. A code scanning device is fixedly connected to the upper end of the case device. The case device includes a case, a guide hole, a threaded hole, a through groove, a groove, a fan, a case door, a magnet, a guide rod, a first spring, a host base, a first clamping groove, a computer host, a filter cartridge, a circular groove and an efficient filter screen. The case door is hinged to the case. The magnet is fixedly connected to the case door. The guide rod is slidably nested in the case. The host base is fixedly connected to an upper end of the guide rod. The computer host is clamped in the host base.

Proposed is a method of identifying a product from an image obtained through a camera. The product identification method includes the steps of: receiving a product image including objects, by a client; acquiring a first object area using depth information included in the input product image; acquiring a second object area through a machine learning network using color information included in the input product image; receiving the acquired first object area and second object region from the client, and verifying whether the object areas match by comparing the object areas, by a server; and reading price information corresponding to an identified object on the basis of a verification result received from the server, and inducing payment for the object, by the client.

An image identification register system (1) includes an image identification register apparatus (10), an image capturing apparatus (30), and a touch panel display (40). The touch panel display (40) is also used as a placement surface of a product. The image capturing apparatus (30) captures a product (P) placed on the touch panel display (40), and generates an image of the product (P). The image identification register apparatus (10) includes an image acquisition unit (110) that acquires an image of the product (P) placed on the touch panel display (40), a product identification unit (120) that identifies the product captured in the image, a display control unit (130) that causes a user interface that receives an input needed for checkout processing of the product to be displayed on the touch panel display according to an identification result of the product, and a processing execution unit (140) that executes processing based on an input to the user interface.

According to at least one embodiment, a reading device includes a first device and a second device. The first device includes an imaging unit, a first recognition unit configured to recognize a commodity from a captured image of the imaging unit, and a voice output unit configured to emit a voice if the first recognition unit recognizes the commodity. The second device is separate from the first device, and includes a second recognition unit configured to recognize a commodity from the captured image by a method different from that of the first recognition unit and a second voice generation unit configured to output voice data for sounding the voice output unit if the second recognition unit recognizes the commodity. The first device includes a first voice generation unit configured to output voice data for sounding the voice output unit if the first recognition unit recognizes the commodity, an input unit configured to take in voice data output by the second voice generation unit into the first device, and a voice mixer configured to input the voice data taken in by the input unit and the voice data output by the first voice generation unit to the voice output unit.

A computer-implemented method, computer program product, and computer system for preventing losses due to mismatches during checkouts in a store. The computer system causes one or more sensors to capture one or more attributes of an item being checked out by a customer. The computer system matches the captured one or more attributes to one or more attributes corresponding to one of a barcode scanned, a number keyed in, and an item name chosen by the customer. The computer system pauses a checkout process, in response to a mismatch. The computer system calculates a difference between a price corresponding to one of the barcode, the number, and the item name and an actual price of the item. The computer system, in response to determining a significant loss occurring to the store, notifies the store to correct the mismatch and processes a transaction of the item at the actual price.

A product recognition apparatus includes: an acquisition unit which acquires an image of a plurality of target products; a storage unit which stores a reference image of a product and a product name; a first setting unit which identifies image parts of the target products from the image, calculate, for each of the target products, the degree of similarity, and set a predetermined number of products as candidate products in a descending order of the degrees of similarity; a second setting unit which calculates, for each of the target products, a difference between a first candidate product and a second candidate product, and set a target product based on the difference between the degrees of similarity as a priority target product; and a generation unit which generates a composite image with the image part of each of the priority target products being focused on and a candidate product list.

A self-checkout system can include a plurality of telescoped bagging arm segments moveably coupled together in an order according to respective diameters of the plurality of telescoped bagging arm segments. A scanning system can be configured to provide a characteristic of an item purchased by a user of the self-checkout system and a processor circuit can be operatively coupled to the plurality of telescoped bagging arm segments and to the scanning system, where the processor circuit can be configured to move the plurality of telescoped bagging arm segments relative to one another based on the characteristic of the item to be placed in a bag in use with the self-checkout system.

A system, method, and apparatus for automated object recognition and checkout at a retail kiosk is provided. The system includes a controller configured with a processor and a memory to control operations of the automated retail checkout system. The system further includes an imaging device in communication with the controller and configured to create multiple electronic images of an object, such as a product for purchase. The system also includes an object recognition device in communication with the controller and the imaging device. The processor may execute software to receive electronic images from the imaging device, extract at least one feature from the images, and recognize the object based on a predetermined model being applied to the extracted feature from the images. The system also includes a display device to display an indication of the recognized object from the object recognition device.