75 results about "Planogram" patented technology

This disclosure describes, in part, techniques for identifying interactions between users and inventory locations. For instance, system(s) may receive image data generated by an imaging device located within a facility. The system(s) may then analyze the image data in order to determine one or more gaze points, where the gaze point(s) indicate location(s) on an inventory location for which a user was looking over a period of time. The system(s) may then generate gaze data indicating period(s) of time that the user was looking at the portion(s) of the inventory location. In some examples, the gaze data represents a heatmap. The system(s) may then use planogram data to determine identifier(s) of item(s) located at the portion(s) of the inventory location. Additionally, the system(s) may generate metrics data representing at least the identifier(s) of the item(s) and the period(s) of time that the user was looking at the item(s).

Disclosed herein is a system and method for matching products detected in an image of a shelf. The match or non-match of the products is then used to make a determination that the products are correctly positioned on the shelf of if the positioning of the products represents a plug or spread situation.

A method for image processing based on image data analysis may include mounting on a first retail shelving unit a first housing comprising an image capture device that is directed to a second retail shelving unit. A second housing comprising a processor is also mounted on the first retail shelving unit at location spaced apart from the first housing. A data conduit is extended between the first housing and second housing, wherein images captured by the image capture device in the first housing are transmitted to the second housing. At least some of the captured images are then transmitted from the second housing to a remote server configured to determine planogram compliance relative to the second retail shelving unit.

An inventory visibility management system utilizes fixed or motorized cameras to scan inventory bearing shelves in a backroom or warehouse of a store, as opposed to store shelves where merchandise is available for purchase, for inventory frequently to keep the system up to date on what boxes of inventory are on the shelf, what is in those boxes and where those boxes are on the shelf. The system may identify a bounding polygon around an identifier corresponding to the product and apply the bounding polygon to a machine-learned model, which may generate a high-resolution crop of the identifier as output. The system registers the identifier to the first bounding polygon and to a location associated with cameras that captured the plurality of low-resolution images. Upon receiving a request from a client device, the system may provide the location associated with the one or more cameras to the client device.

A system and method for providing insights regarding retail store performance and / or store layout are described herein. One or more cameras in a store capture and transmit data associated with product inventory, equipment inventory, patrons, and employees in the store to a computing device. The computing device queries a repository to determine identifiable information associated with each of the product inventory, the equipment inventory, the patrons, and the employees. The data is combined with the identifiable information to form a data set. An artificial intelligence (AI) algorithm is applied to the data set to determine a conclusion regarding a performance and / or layout of the store. The data, the data set, and the conclusion are stored the repository. A representation of the conclusion is generated and presented via a graphical user interface (GUI) of the computing device to a user. The representation is a store-specific planogram.

A transmission device according to the present technology includes an image acquisition unit that acquires a first shelf image captured at a first time for a product shelf on which a product is displayed, and a second shelf image captured for the product shelf at a second time after the first time, a region specification unit that specifies a difference region between the first shelf image and the second shelf image, a cut-out processing unit that cuts out a partial image from the second shelf image so that the difference region is included, and a transmission processing unit that transmits the first shelf image and the partial image to a reception device.

Systems and methos for generating a schematic for shelf space in a retail environment include acquiring fixture data for a fixture; acquiring item data for a plurality of items to be displayed on fixture; importing an existing planogram, the imported existing planogram comprising an existing location of each item of the plurality of items on the fixture; based on identified assortment rules, generating an updated planogram for the fixture, the generated updated planogram for the fixture including an optimized placement of the plurality of items on the fixture; and generating the schematic based on the generated updated planogram, the generated recommended schematic including a sequence of the plurality of items included in the generated updated planogram.

This processing device includes a reference count specification unit and a threshold determination unit. The reference count specification unit specifies, for each product, a reference count that is the number of items detected in an image of a product shelf when the display condition satisfies a reference standard. The threshold determination unit determines, for each product, a shortage determination threshold, which is a threshold for determining a shortage condition, on the basis of the reference count.

A system and method are disclosed for augmented visualization of a planogram of one or more supply chain entities. Embodiments include creating a planogram comprising one or more products, the products associated with a location, and retrieving an image of the planogram and one or more customer segments. Embodiments further include mapping one or more coordinates in an image of a planogram that correspond to the one or more customer segments and rendering an augmented visualization comprising altering the image of a planogram at one or more coordinates to illustrate the one or more customer segments.

To efficiently acquire the situation of use of a promotion activity using the fragrance of a commodity.SOLUTION: An information processing system has: injection means that injects fragrance corresponding to a predetermined commodity according to a customer's operation; first acquisition means that acquires first data obtained by recording the injection date on which the injection means injects the fragrance and identification information for identifying the commodity corresponding to the injected fragrance; detection means that detects the movement of a customer reaching for the commodity from a picked-up image of a display shelf on which the commodity is displayed; second acquisition means that acquires second data obtained by recording the detection date on which the detection means detects the movement of the customer, and identification information on the commodity reached for by the customer in the movement or position information for specifying the display position of the commodity; and data management means that stores the first data and the second data in a storage and stores pieces of data having a time-series relationship in association with each other.SELECTED DRAWING: Figure 1

The present application relates to a RFID-based fixed asset inventory method and system, the present application collects the historical reading data of the current time period, analyzes the historical reading data to obtain the reference inventory period of the current time period. Then analyze the shelf image of multiple time points in the current time period, analyze the activity of RFID tags in each storage unit, shorten the inventory period of the fixed assets with high activity, through high-frequency inventory, the differences can be found and corrected in time, ensure the real-time accuracy of the inventory data of key assets, reduce the risk of information error. For the fixed assets with low activity, the inventory period is extended. The present application concentrates the limited inventory resources (manpower, time) on key fixed assets, avoids wasting resources on low-activity materials, and improves the overall inventory efficiency.

A merchandiser device includes a storage area including multiple rows, in which each row includes multiple lanes, and in which each lane is configured to store multiple products. The merchandiser device includes a time of flight sensor positioned for use with a lane and configured to produce sensor output indicative of an event associated with a product stored in the lane. An event associated with the product is detected based on the sensor output. Identifying information for the product is determined based on the sensor output and a planogram of the merchandiser device. A quantity of the product associated with the event is determined based on the sensor output and dimensional information associated with the product. Data configured to cause an update to an inventory record associated with the product is then output based on the identifying information and the quantity.

A system and method are disclosed for augmented planogram planning. Embodiments include a server comprising a processor and memory and an instruction builder. Embodiments further include a mobile device comprising a processor and a memory and configured to display instructions on the mobile device comprising rendered instruction blocks and at least one of the instruction blocks comprises a planogram instruction block. Embodiments additionally include a digital display comprising a processor and memory and the digital display is configured to display graphics comprising the rendered instruction blocks.

The present application describes a system and method which may enable an enterprise to map existing planograms for a group of stores in order to facilitate a modification of an item category in a planogram for the stores. One or more planograms associated with a desired item category may be chosen, and a list of stores for the planogram(s) may be provided. From the list of stores having a common planogram allocated to the item category, a subset of stores may be chosen for which to change the planogram(s). Changes to a planogram may require the creation of a separate child planogram, in some examples. Updates to the child planograms may apply to all stores in the chosen subset of stores, to avoid a requirement of individual planogram edits.

Systems and methods of constructing and managing virtual planograms are presented. Contemplated systems allow for construction of a virtual planogram, which can be used to present consumers virtual inventory items as being available for purchase via a display device. The display device can include an electronic billboard within an establishment, a mall for example, or include a user's smart device, a cell phone or tablet for example.

Methods for identifying one or more items in close proximity to a mobile device and / or are within a digital image. The location of the mobile device can be determined using outdoor positioning systems (“OPS”), indoor positioning systems (“IPS”), or combinations thereof. The identity of the item or items can be determine using planograms; visual inventory; RFID handheld inventory; RFID overhead inventory; vision system inventory; UR; barcode; NEC; or combinations thereof. In some embodiments, the methods described herein include or involve identifying one or more items within a digital image, such as a photograph or video. The image has an identification (ID) / time stamp that is used to associate the items in the image that have been read in the same area as the image so that the items can be actively searched as a digital image to highlight or list items that are in the image.

An electronic shelf label (ESL) system is discussed. An ESL affixed to a shelf facing assists stock associates in managing products on the shelf. More particularly, the ESL may receive and display step-by-step instructions and / or graphical depictions on a display screen of the ESL that are received from a computing device-executed optimization module. The instructions may be generated to minimize the number of required actions by the stock associate and guide the associate in arranging products on the shelf. The displayed instructions may be determined based on a planogram. The planogram may be generated from a range of criteria including historical profit and loss data, inventory data, supply and demand data and / or labor cost data.

A training data generation device comprises a shelf-image acquisition unit, a product-image acquisition unit, and a synthesis unit. The shelf-image acquisition unit acquires a shelf image constituting one compartment of a shelf on which a product is displayed. The product-image acquisition unit acquires a product image of the product displayed on the shelf. The synthesis unit generates training data by synthesizing the shelf image and the product image, and the synthesis unit additionally, in accordance with the shape of the shelf and / or the shape of the product, causes the display in the product image to differ and synthesizes the result with the shelf image.

Embodiments of the present application provide an information processing method, device and equipment. Wherein, a shelf picture collected by a mobile robot in a target site is obtained; at least one shelf is deployed in the target site, the at least one shelf respectively displays at least one article and is provided with a first information carrier at a respective display position of the at least one article, the first information carrier carries article information of the corresponding article; the first information carrier and the article information carried by the first information carrier in the shelf picture are identified; and based on the article information of at least one article belonging to the same shelf, shelf display information is generated. The technical scheme provided by the embodiments of the present application realizes efficient and accurate information acquisition.

Systems and methos for generating a schematic for shelf space in a retail environment include acquiring fixture data for a fixture; acquiring item data for a plurality of items to be displayed on fixture; importing an existing planogram, the imported existing planogram comprising an existing location of each item of the plurality of items on the fixture; based on identified assortment rules, generating an updated planogram for the fixture, the generated updated planogram for the fixture including an optimized placement of the plurality of items on the fixture; and generating the schematic based on the generated updated planogram, the generated recommended schematic including a sequence of the plurality of items included in the generated updated planogram.

A system includes a plurality of racks each storing packs of cigarettes, a display device associated with each rack and a master controller coupled to the racks and the display devices. A processor of the master controller is configured to receive a first indication that a scanner has scanned a first code associated with a first rack of the plurality of racks while the scanner is in a product checking mode. In response, the processor obtains from a memory a first rack number of the first rack and a first UPC associated with the rack number based on a planogram. The processor subsequently receives a second UPC scanned by the scanner of a pack actually stored in the first rack. Based on determining that the first and second UPCs do not match, the processor transmits an alert message indicating incorrect product placement in the first rack.

An image recognition method for planogram compliance, comprising the steps of: receiving an input image of a target area to be analysed for planogram compliance; detecting one or more objects in the input image; optionally, detecting one or more gaps in the input image; calculating image similarity scores of the one or more objects detected and a plurality of product images; identifying an associated product for at least one of the one or more objects detected, based on the calculated image similarity scores, and assessing the target area based on the one or more objects detected, the one or more gaps detected and / or the associated products identified of the one or more objects.

The application discloses an electronic price tag position recognition method and system based on image contrast, relates to the technical field of electronic price tags, acquires a target shelf image, determines a plurality of position-to-be-resolved candidates according to a plurality of price tag candidate regions in the target shelf image, electronic price tag binding information Bind and historical position archive information Hist, and establishes a candidate conflict graph Cmap according to the spatial adjacency relationship, the appearance approximation relationship and the storage location corresponding relationship among the plurality of position-to-be-resolved candidates; and selects a target detection set Tset according to the candidate conflict graph Cmap. Thus, the application can uniformly model adjacent price tags, appearance-similar price tags and storage location conflict price tags, and actively confirms the position of the electronic price tag through the image contrast change after the controlled display, thereby reducing the risk of misrecognition of the position of the electronic price tag and mismatch of the goods storage location in the dense shelf scene.

The application discloses an article display information updating method, device, equipment and medium. The method comprises the following steps: obtaining a target shelf image, and detecting the target shelf image based on a target detection model to obtain at least one article single body detection result; determining at least one article single category detection result according to the at least one article single body detection result; and updating article display information of a target shelf according to the article single body detection result and the article single category detection result. The technical scheme solves the problem of low updating efficiency of article display information, can effectively improve the updating efficiency of article display information while ensuring the article recognition accuracy, and reduces the management cost.

Systems and methods for analyzing computer-readable image data to determine deviations from planogram data are disclosed. Image data of at least one physical display unit is obtained. The image data is annotated by an image processing engine to identify at least one item within the image data. Planogram data of a planogram corresponding to the at least one physical display unit is obtained and the at least one item within the image data is compared to an expected aspect of the at least one item within the planogram data. A user interface is generated including the image data and at least one interface indicator at least partially overlapping with the at least one item in the image data. At least one graphical aspect of the interface indicator is selected based on the comparison between the item within the image data and the item within the planogram data.

The application discloses a kind of detection method and device of fresh goods, which comprises the following steps: collecting shelf image, and detecting real fresh basket and price tag on the shelf from the shelf image;Based on the price tag on the shelf, generate virtual fresh basket;According to the position information of the real fresh basket, the position information of the virtual fresh basket is corrected;Based on the real fresh basket and the virtual fresh basket, the fresh goods on the shelf is detected.The application detects the real fresh basket on the shelf from the shelf image, uses virtual fresh basket to assist supplement the possible missed detection, and then detects and divides the fresh goods based on the real fresh basket and the virtual fresh basket, which can improve the detection accuracy of fresh goods, so that the detection algorithm can be better applied in actual scene, has certain detection algorithm fitting degree, improves the algorithm universality, and has the possibility of large-scale use.

The embodiments herein provide a method and system for an augmented reality based indoor navigation. The system creates an augmented reality (AR) based fingerprinting to perform the dynamic routing. A floor wise plan of the building is uploaded. The floor plan is converted to a floor plan graph. Then cloud anchors are created and placed across the floor. An anchor is a fixed position and orientation in the real world as recognized by any Augmented Reality (AR) device. Each time an anchor is placed, its position information is fingerprinted on the floorplan graph and that fingerprinting is saved in the database. When user scans for nearest QR code to identify their current position, the user location is identified and the planogram details, fingerprinting and pre-processed floorplan matrix are obtained from database. When user selects his destination, dynamic routing is performed to obtain shortest / optimized path viewed through augmented reality fingerprinting.

The invention discloses a commodity display management method, device and system, and the method is applied to a digital twinborn server, and comprises the steps: constructing a digital twinborn model of shelf commodities according to a store shelf digital map, the identification information and position information of electronic price tags on a shelf guide rail, and the commodity information matched with each electronic price tag; according to a preset period, sending a shooting instruction to a shelf camera server, so that the shelf camera server controls a camera to shoot a shelf image after receiving the shooting instruction, and obtaining a commodity recognition result through a commodity recognition model; the commodity identification model is obtained by training according to a plurality of commodity images of each commodity and commodity images of similar commodities of each commodity; receiving a commodity identification result fed back by the shelf camera server, and matching the commodity identification result with the digital twin model of the shelf commodity; if matching succeeds, determining that the commodity information is correct; otherwise, determining that the commodity information is wrong. The method is high in precision and efficiency, low in cost and good in adaptability.

This technology provides an easy way to determine if products are displayed correctly. [Solution] The information processing device 2000 includes an image analysis unit 2020 that analyzes a shelf image in which a product shelf has been captured and generates actual display information representing the display status of products on the product shelf; a comparison unit 2040 that compares the actual display information with standard display information representing the standards for displaying products on the product shelf and generates comparison information representing the result of the comparison; and a generation unit 2060 that uses the comparison information to generate a result image representing products that do not conform to the standards indicated by the standard display information. The result image is displayed in a manner that allows for the identification of products that do not conform to the standards indicated by the standard display information and products that conform to the standards indicated by the standard display information. The generation unit 2060 superimposes a heatmap onto the shelf image as superimposed data indicating the result of the comparison, in which the color of the part corresponding to the product that does not conform to the standard display information is relatively dark, and the color of the part corresponding to the product that conforms to the standard display information is relatively light.

The application discloses a method and device for generating a shelf display shelf area, and the method comprises the following steps: obtaining a shelf image to be detected and recognized; inputting the shelf image to be detected and recognized into a pre-trained shelf detection model to detect the shelf image to be detected and recognized and obtain a shelf display shelf area bounding box; the shelf detection model is pre-trained according to a historical shelf image data set and a corresponding shelf area bounding box label data set sample; and outputting the detected shelf display shelf area bounding box information. The shelf detection model can be used to directly detect possible shelf areas on a shelf image, so that the efficiency and accuracy of the shelf area generation are improved.