A method for calculating an object pick-and-place sequence and an electronic apparatus for automatic storage pick-and-place are provided. When a warehousing operation is to be performed, the following steps are performed. A weight of an object to be stocked that is to be put on a shelf is obtained. The weight is substituted into a plurality of coordinate positions corresponding to a plurality of unused grid positions respectively, so as to calculate a plurality of estimated center of gravity positions. Whether the estimated center of gravity positions are located within a balance standard area is determined so as to sieve out a plurality of candidate grid positions from these unused grid positions. One of the candidate grid positions is selected as a recommended position of the object to be stocked.

This disclosure is directed to item-identifying carts that may be utilized by users to automatically identify items that the users place in their carts. In order to identify the items placed into or removed from the cart, the cart may analyze image data, as well as weight data indicating a current weight estimation of a basket of the cart. The cart may include a weight sensor that generates a signal comprising a series of weight measurements of the basket of the cart. The cart may use an algorithm that calculates different mean values of different window sizes of the weight measurements of this signal and, thereafter, may calculate an average of these mean values. This average may be stored as the current weight estimation of the basket.

A food inventory tracking system within a refrigerated food storage compartment includes cameras configured for capturing images of food, load cell sensors for taking weight measurements of food and a computing system for reading images from the cameras and weight measurements from the load cell sensors, generating a three-dimensional location map of an interior of the refrigerated food storage compartment, mapping the images and weight measurements to segments of the three-dimensional location map, such that each segment of the three-dimensional location map is associated with images and weight measurements, identifying a type of food item within said segments based on the images and weight measurements associated with said segment, calculating a current amount of said food item based reporting to a user the type of said food item and the amount of said food item.

An advanced food storing, dispensing, and packaging system, including the use of computing and communications technology to both monitor and improve quality of food. The storing and dispensing system can also integrate with better packaging. Such a system and technology is used to create a better way to acquire and control food quality, whether delivered or not, raw or cooked, that is fresher when monitored, whether it waits to be delivered for immediate consumption or is acquired raw or in bulk and stored in a home pantry. This technology can be further leveraged to enable patrons to access and transact a food purchase without waiting in a checkout line including food that is not required to be specially packaged in order to be recognized by video analytics.

Various embodiments relate generally to data science and data analysis, computer software and systems, and control systems to provide a platform to facilitate implementation of an interface and one or more sensors, and, more specifically, to one or more sensors and/or computing algorithms that implement specialized logic to facilitate in-situ monitoring and characterization of resource usage and/or device usage to determine usage of one or more consumables to updates inventories of consumables for automated replenishment of a consumable. In at least one example, sensors and/or computing algorithms facilitate formation of an automated home inventory replenishment network. In some examples, a method may include accessing sensor data if a consumable is processed, determining multiple modes of operation for a device, correlating a type of consumable associated with a mode of operation, and updating an amount of inventory for a consumable responsive to an amount consumed and a modified consumption rate.

Described herein are systems and methods for validating products that are added to a shopping cart. A shopping cart that can include product validation hardware and a controller, the product validation hardware including motion sensors positioned at least along a top perimeter of the shopping cart and at least one weight sensor positioned inside the shopping cart. The shopping cart can receive, from one or more of the motion sensors, motion data when the product is detected to be entering a top horizontal plane of the shopping cart, receive, from the at least one weight sensor, weight change data that is collected in real-time as the product settles inside the shopping cart, and correlate the weight change data with the motion data to generate a weight signature over time for the product. The weight signature can be used to validate the product that is added to the shopping cart.

A system and method for implementing a scale based order assignment and fulfillment system is provided. The method includes receiving (via a user interface from a user) a request for an item from an entity. A database comprising links between zones is scanned and in response, a unit is assigned to a zone associated with a location of the item. The assignment results in the transmission of digital instructions to an electronic scale apparatus located within the zone and associated with the unit. The digital instructions executed for activating the electronic scale apparatus to enable a user to dynamically fulfil the request for the first item.

The disclosure herein relate to an inventory management system and more particularly, to a device for holding and monitoring weight of product(s) in the inventory management system of a store. The device (100) includes a main bracket (102), a load sensor (104), a load transfer member (106) and a holding member (108). The load sensor (104) is connected to the main bracket (102). The load transfer member (106) is connected to the load sensor (104). The holding member (108) is connected to the load transfer member (106). The device (100) is reliable and consumes less space.

Systems and methods for the preparation of recipe-based products may include a computer-based system for parsing recipe steps and instructions, such that each of a plurality of product preparation stations receives and displays on an associated human-machine interface only those instructions associated with that product preparation station.

An apparatus including: one or more weighing elements; a processor in communication with the one or more weighing elements; memory in communication with the processor and containing processor executable instructions; a proximity sensor in communication with the processor; and a wireless communications device in communication with the processor. The instructions provide for monitoring of removal of units of a product on the weighing elements.