Alerta

輸送支援装置及び輸送支援方法

Absstract of: JP2026162035A

【課題】本発明は、ブレードのような長尺物を実際に輸送する前に、輸送経路に沿った樹木の伐採を支援できる輸送支援装置及び輸送支援方法を提供する。【解決手段】輸送支援装置１０は、長尺物を輸送する輸送経路に沿った三次元経路データと、長尺物を輸送する車両と車両に積載された長尺物とを含む三次元データの車両モデルと、を取得する取得部２１と、三次元経路データにおける仮想輸送経路に沿って、車両モデルを移動させて三次元経路データに含まれる地物データが車両モデルに干渉する干渉範囲を算出する範囲算出部２４ａと、を備える。地物データは、樹木データを含む。範囲算出部２４ａは、干渉範囲５９ａ，５９ｂに含まれる樹木データに基づいて伐採する樹木５６の体積を算出する。【選択図】図１

METHOD OF GENERATING REGULATORY OUTPUTS

Absstract of: US20260310882A1

A method for generating a regulatory output for chemicals, including inputting one or more identifiers of one or more individual chemicals into an algorithm, inputting one or more concentrations of one or more individual chemicals into the algorithm, enriching properties of the one or more individual chemicals by obtaining properties of the one or more individual chemicals from at least one data source to generate enriched properties, evaluating the enriched properties of the one or more individual chemicals to generate representative properties of the one or more individual chemicals by applying predefined steps of the algorithm, and generating the regulatory output of the composite material based on the representative properties of the one or more individual chemicals.

LABEL MANAGEMENT SYSTEM, LABEL MANAGEMENT METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

Absstract of: US20260311126A1

A label management system is a system that allows product management using a label, and comprises a code printing device, an information reading device, and a database. The label includes a print surface printed with a digital watermark that shows label information. The label information is information for individual identification of the label itself. The code printing device prints a code of product information on the print surface of the label. The product information is information for individual identification of a product to which the label is to be attached. The information reading device reads the label information and the product information from the digital watermark and the code respectively printed on the print surface of the label, for the label as a unit. The label information and the product information that are read by the information reading device are stored into the database in association with each other for the label as a unit.

INFORMATION PROCESSING SYSTEM

Absstract of: US20260311465A1

An information processing system includes a learning processing unit that generates a network of machine learning, and a detection processing unit that performs processing of detecting a predetermined area from image information using the network, the learning processing unit including an annotation data reception processing unit that receives an input of annotation data obtained by annotating a goods display area and/or a price tag area in the display shelf, and a learning processing unit that performs learning processing using the received annotation data and generates a network of machine learning, and the detection processing unit including an image information reception processing unit that receives an input of image information in which a display shelf to be processed is captured, and a recognition processing unit that recognizes the goods display area and/or the price tag area in the display shelf captured in the image information using the generated network.

SYSTEM AND METHOD FOR DISPENSER MANAGEMENT

Absstract of: US20260310245A1

0000 One or more computing devices, systems, and/or methods are provided. For example, a controller of a dispenser may determine usage data of the dispenser. In association with a replenishment event in which a second refill component mounted to the dispenser is replaced by a first refill component, the controller may (i) determine a next replenishment time of the dispenser based upon the usage data, and/or (ii) transmit an indication of the next replenishment time to a first tag of the first refill component.

MULTI-SENSOR PERCEPTION FOR RESOURCE TRACKING AND QUANTIFICATION

Absstract of: US20260311488A1

0000 Disclosed herein are system, method, and computer program product embodiments for multi-sensor perception for resource tracking and quantification. An embodiment operates by receiving resource information indicating a resource identifier, a resource location, and a resource amount. Based on sensor data received from a first sensing device and the resource identifier, a resource removed from the resource location and placed at a predefined location may be tracked. An amount of the resource placed at the predefined location may be determined based on depth information from sensor data received from a second sensing device. A notification that indicates that additional resources that match the resource should stop being removed from the resource location and placed at the predefined location may be generated based on a match between the resource amount and the amount of the resource placed at the predefined location.

ANTI-THEFT PUSHER WITH INCREMENTAL DISTANCE DETECTION

Absstract of: US20260305842A1

A retail merchandise pusher is configured for sliding along a pusher assembly track. The pusher assembly is mountable to a retail merchandise shelf. The pusher includes a pusher controller that is coupled to a sensor arrangement within a housing. The sensor arrangement has a spring drum sensor for detecting rotation of a spring drum. A direction sensor detects a direction of rotation of the spring drum. An incremental distance sensor detects incremental movement of the pusher. The controller is configured to calculate, based on data from the sensor arrangement, a total distance and direction of travel by the pusher, and to generate an alarm when the pusher travels more than a threshold distance within a predetermined period of time.

AUGMENTING AN AVAILABILITY OF AN ITEM AT A WAREHOUSE DETERMINED FROM AN AVAILABILITY MODEL WITH INFORMATION FROM SHOPPERS FULFILLING ORDERS ON ITEM AVAILABILITY

Absstract of: US20260311121A1

0000 An online concierge system displays an ordering interface to users that displays items offered by various warehouses. The online concierge system includes machine learning availability model that estimates an item's availability and visually distinguishes items offered by a warehouse having less than a threshold availability from other items. Because information from a warehouse that an item that was out of stock is now in stock is often delayed, the online concierge system transmits a request to a shopper fulfilling an order to check for an item’s availability at a warehouse. For example, the online concierge system allows users to include a request for an indication of an item’s availability when placing an order. When the online concierge system receives a threshold number of requests for the item, the online concierge system prompts a shopper fulfilling an order including items near the item for the item’s availability.

Spacer For A Shelf Support, Comprising A Light Emitter

Absstract of: US20260305847A1

The invention relates to a spacer adapted to be fixed on a shelf support so as to delimit a column of the shelf support, wherein the spacer comprises a light-emitter integrated in the spacer and configured to emit light, wherein the light emitted by said light emitter forms a signal corresponding to a blinking sequence which is specific to said light emitter and allows identification of the spacer in which the light emitter is integrated.

COMPETITIVE AND COLLABORATIVE AUTONOMOUS VEHICLE TASK PERFORMANCE

Absstract of: US20260311598A1

0000 A processing system including at least one processor may obtain a request for a performance of a task, where the task is to be performed by at least one autonomous vehicle, broadcast an offer for performing the task to a plurality of autonomous vehicles, obtain from a first autonomous vehicle of the plurality of autonomous vehicles, a bid to perform the task by the first autonomous vehicle and at least a second autonomous vehicle, and assign the task to the first autonomous vehicle and the at least the second autonomous vehicle in response to the bid.

SYSTEM AND METHOD FOR AERIAL TRAFFIC MANAGEMENT OF UNMANNED AERIAL VEHICLES

Absstract of: US20260310235A1

A system and method for aerial traffic management of unmanned aerial vehicles (UAVs) are presented. The method includes providing a set of control instructions for controlling a UAV to a navigation server, including a control instruction of a first type, and a second type; receiving over a network a navigation request from a user device, the navigation request including a coordinate of a destination location; providing a subset of control instructions of the plurality of control instructions to the user device, the subset of control instructions including only control instructions of the second type; receiving a request from the client device to execute a control instruction of the provided subset of control instructions; sending the control instruction to the UAV, wherein the UAV is communicatively connected to the navigation server; and revoking the subset of control instructions in response to determining that the navigation request has been executed.

SYSTEM AND METHOD FOR RAPID INSPECTION OF PRINTED CIRCUIT BOARD USING MULTIPLE MODALITIES

Absstract of: US20260309776A1

A multispectral inspection (MSI) device for analyzing an electronic item having a printed circuit board (PCB). An electronic power supply powers the electronic item in accordance with one or more test vectors. An optical imaging scanner, terahertz (THz) imaging scanner, and a functional imaging scanner are each operative to scan the electronic item. An electronic processor is programmed to scan the various scanners and control the power supply to acquire optical, THz, and functional images of the electronic item. The images are combined to form a standard three-dimensional (3D) signature and artificial intelligence (AI) classifiers are applied to the 3D signature to perform non-destructive analyses of the electronic item.

TEMPERATURE-WEIGHTED UNIVERSAL NODE COORDINATION

Absstract of: AU2025238998A1

Disclosed is a system for interpolating ambient conditions across a facility, the system including: sensors to generate sensor data indicating ambient conditions in a facility and a computer system that can: receive the sensor data from the sensors, determine real-time temperature information for different locations of the facility based on processing the received sensor data, retrieve a machine learning model that was trained using historic facility data to interpolate ambient conditions across a facility using temperature information that corresponds to a portion of the facility, apply the model to the real-time temperature information for the different locations of the facility, determine, based on applying the machine learning model, real-time temperature information for the facility, and return the real-time temperature information for the facility.

PICKING SYSTEM

Absstract of: US20260307906A1

0000 A picking system includes a first automated warehouse configured to store products on a case-by-case basis, a transfer station to transfer stock products from cases into totes, a second automated warehouse connected to the transfer station, a third automated warehouse connected to each of the transfer station and the second automated warehouse, a picking station connected to the third automated warehouse, and a controller configured or programmed to manage movement of the products, cause a first product with a high picking frequency to be moved directly from the transfer station to the third automated warehouse and stored therein, cause a second product with a low picking frequency to be moved from the transfer station to the second automated warehouse and stored therein, and, based on an order, cause the second product to be moved from the second automated warehouse to the third automated warehouse.

ASSISTANCE USING PERIPHERAL DEVICES

Absstract of: US20260313316A1

0000 Disclosed are systems, apparatuses, processes, and computer-readable media for wireless communications. For example, a wireless communication device can receive, from a network entity, instructions to display a navigation image associated with a path for a user to follow to arrive at a destination associated with one or more items in an environment. The wireless communication device can display the navigation image based on the instructions and movement of the user.

METHOD FOR DETECTING AN IN PARTICULAR POSITIONALLY VARIABLE RFID TAG

Absstract of: US20260310911A1

0000 Method for detecting a radio tag, in particular one that is variable in location, by means of detection devices positioned at different locations, wherein the method comprises the following method steps: 0000 automatically selecting a number of detection devices that is smaller than the total number of detection devices for receiving a tag radio signal emitted by the radio tag and/or a product identification derived from the tag radio signal, wherein as a first criterion for automatic selection it is applied that, in relation to an in particular automatically determined device position of a device located at least temporarily in the vicinity of the radio tag, at least one of the detection devices is positioned favorably with respect to at least one other detection device for receiving the tag radio signal and/or the product identification.

SYSTEMS, MEDIA, AND METHODS FOR AUTOMATED PLANOGRAM GENERATION

Absstract of: US20260311117A1

A method includes generating a plurality of candidate planograms based upon a plurality of current design rules and outputting a graphical representation of each of a subset comprising a plurality of the candidate planograms. The method also includes receiving categorization input to place each candidate planogram in the subset within one of a plurality of categories, and creating and outputting candidate rules based upon at least one of the categories. The method further includes receiving rule input specifying a plurality of candidate design rules to retain. The method additionally includes outputting an updated subset of the candidate planograms based upon the received design rule input, and outputting a graphical representation of at least one finalized planogram.

ARTIFICAL INTELLIGENCE ENABLED SMART INVENTORY MANAGEMENT, CHECK-OUT AND BILLING SYSTEM

Absstract of: US20260311127A1

0000 Artificial intelligence enabled smart inventory management, self-check-out and billing system (100) comprises user device (200) with an application stored therein. System through its various components provide users about availability of the standard & loose pack products, location of the product, price per unit & promotional schemes, if any, once user is in geofenced store. The system allows the user to know in advance the bill amount for the items selected by them through their user device, provides return of the product selected at a defined location of the store, allows identification, weighing and pricing for non-standard pack/loose items and while check-out it cross checks the weight and items labels with the items selected by user and provides the alert in case of mismatch and make correction and then finally make payment and allow possession of items selected by user. System provides checks and balances related to errors/pilferage.

SYSTEMS AND METHODS FOR PREDICTING PRODUCT SENSORY SHELF-LIFE PROGRESSION USING MACHINE-LEARNING

Absstract of: US20260311130A1

0000 Systems and methods for predicting sensory shelf life progression are provided. The method may include receiving data associated with a product. The data may include one or more sensory attributes of the product. The method may further include providing the one or more sensory attributes of the product to a predictive machine-learning model trained to identify associations between the one or more sensory attributes of the product and output a sensory shelf life progression for the product. The method may further include transmitting the sensory shelf life progression to a display of a user device.

IMPROVED 3XX ALUMINUM ALLOYS AND METHODS OF MAKING THE SAME

Absstract of: WO2026212639A2

New 3xx aluminum casting alloys are described. The new 3xx aluminum casting alloys may include from 7.0 to 9.0 wt. % Si, from 0.05 to 0.6 wt. % Mg, from 0.1 to 0.4 wt. % Mn, from 0.05 to 0.25 wt. % Cr, wherein (wt. % Mn) + (wt. % Cr) is from 0.2 to 0.6 wt. %, from 0.05 to 1.5 wt. % Fe, up to 0.5 wt. % Cu, up to 0.5 wt. % Zn, up to 0.15 wt. % Ti, up to 0.15 wt. % V, up to 0.15 wt. % Zr, and up to 0.05 wt. % of any one of Sr, Sb, Na, and Ca, with the balance being aluminum, optional incidental elements and impurities. The aluminum casting alloys may be in a form of a shape cast product. Such shape cast products may realize an improved combination of properties.

APPARATUS, SYSTEMS, AND METHODS FOR STORE-LEVEL ANALYSIS USING ARTIFICIAL INTELLIGENCE

Absstract of: EP4818998A1

0001 Apparatus, systems, and methods for store-level analysis using artificial intelligence are disclosed. An example apparatus includes at least one programmable circuit to generate a feature vector based on an alert report, the feature vector including features corresponding to alert types; execute a supervised machine learning model using the feature vector to generate a supervised output for an alert in the alert report, the supervised output representing a likelihood of the alert warranting an action; execute an unsupervised machine learning model using the feature vector to generate an unsupervised output; classify the alert based on at least one of the supervised output or the unsupervised output; and cause an electronic device to execute the action based on the classification of the alert, the action associated with a status of the alert or a request for additional store-level data.

BARCODE SCANNING IN HISTOPATHOLOGY LABORATORY SAMPLE TRACKING

Absstract of: GB2636120A

A system and method for scanning data from items such as histopathology cassettes 1 or histopathology slides 4. Each item is provided with both a radio frequency identification (RFID) tag and with an optically readable identifier such as a barcode. The system comprises a scanner 20 having an RFID reader 6 and an optical reader 5 which respectively read first data from the RFID tag and second data from the optical identifier. The second data comprises a data format selected from a group of predetermined data formats. The scanner communicates the first and second data to a signal splitter 7. The signal splitter inspects the second data and if it matches a given one of the predetermined formats, the first and second data are directed to a first computer database PC-B. If the second data does not match a given one of the predetermined formats, the splitter directs only the second data to a second computer database PC-A. The first and second data may be read in a single scanning operation. The given one of the predetermined data formats may be histopathology cassette identification data or histopathology slide identification data. The second database may be a legacy computer system.

ロジスティクス環境内で車両の集団によりトレーラの移動を調整および制御することに対して好適なシステムならびに方法

Absstract of: US20260289499A1

0000 The present disclosure provides a system and a method for coordinating and controlling the movement of trailers by a fleet of vehicles within a logistics environment. The method comprises receiving a set of trailer transportation jobs, each job comprising a temporal requirement defining conditions to be satisfied by a trailer or a vehicle at a location during a time interval, and encoding the temporal requirement of each job as a set of constraints on one or more of vehicle motion dynamics, trailer motion dynamics, and energy consumption behavior using metric temporal logic (MTL) specification. The method further solving a constrained optimization problem optimizing a cost function subject to the set of constraints and a set of vehicle operation constraints to generate a plan comprising one or more trailer assignments, vehicle trajectories, and charging actions, and executing at least a portion of the plan within the logistics environment.

読取装置、読取方法、及びプログラム

Absstract of: US20260289442A1

0000 A reading device according to the present disclosure includes a storage unit, an acquisition unit, a specification unit, and an extraction unit. The storage unit stores work identification information for identifying work content and necessary item information indicating a target item included in a target label necessary for execution of the work content in association with each other. The acquisition unit acquires scan information indicating information obtained by collectively reading a plurality of labels attached to an article. The specification unit acquires work information related to work to be worked on by the worker, and specifies work identification information relevant to the work information. The extraction unit detects a target label from a plurality of labels of the scan information based on the target item information associated with the specified work identification information, and extracts description contents of the target item from the target label as the target information.

人工知能を用いた搬送先に従った物体分類

Nº publicación: JP2026159657A 07/10/2026

Applicant:

株式会社リコー

Absstract of: EP4811239A1

Disclosed is a computer-implemented method of determining a transport destination of an object, the method comprising the following steps:a) image data is acquired from a plurality of image data sources which describes images of the object taken with different ones of the image data sources;b) object identifier data is acquired which describes an identifier of the object to be assigned to pieces of the image data acquired from different ones of the plurality of image data sources;c) image association data is determined based on the image data and the object identifier data, wherein the image association data describes an association between the pieces of the image data and the identifier;d) image classification data is determined based on the image data, wherein the image classification data is determined by inputting the image data and the image association data into a recognition service trained to classify the images according to the object which the images of the object describe and according to a transport destination of the object which the images of the object describe; ande) notification data is determined based on the image classification data, wherein the notification data describes a notification indicating a transport destination to which the object shall be transported.