Description:FIELD OF THE INVENTION
This invention relates to an Intelligent Grocery Tracking System.
BACKGROUND OF THE INVENTION
In a busy household, monitoring food inventory can be rather arduous. This may lead to wasted food, unexpected grocery store trips, and complications with meal planning. The efficiency of kitchen administration might be greatly improved with an Internet of Things (IoT)-enabled pantry or refrigerator system that tracks what's in stock, suggests meals using what's on hand, and automatically creates shopping lists. The current solutions' inability to automate this activity across several devices is a substantial issue. Potential benefits of the suggested method include easier meal planning, less food waste, and greater food efficiency.
US 11488219 B2 End-to-end food delivery ecosystems, published: Nov 1, 2022, Granted: Nov 1, 2022.
US 10083475 B1 Simple Nutrition nutritional management system, published: Sep 25, 2018, Granted: Sep 25, 2018.
The current methods prioritize dietary management or grocery procurement, but they do not offer comprehensive inventory monitoring or meal planning capabilities. For a seamless kitchen management experience, the proposed IoT-based solution combines multiple functionalities.
The user experience is negatively impacted by the fact that current systems need manual data entry. The proposed method reduces user effort by automating recipe suggestions and monitoring.
The proposed grocery management system significantly enhances usability and performance compared to existing approaches. In contrast to current systems' reliance on human processes or rudimentary camera-based methods, the suggested design automates tracking with the use of cutting-edge sensors, cameras, and RFID technology. The existing solutions cover only a single facet of inventory management either the fridge or the pantry whereas the proposed model seamlessly integrates both, offering a comprehensive overview of stock. The proposed method offers AI-driven recommendations utilizing real-time inventory data, as opposed to traditional approaches that depend on manual ingredient entry. The proposed model features fully automated shopping list generation based on consumption trends, unlike existing methods that either rely on user input or offer partial automation. Moreover, existing systems solely notify users of impending food expiration; conversely, the proposed model provides notifications for low inventory, expiration, and recipe suggestions in a more dynamic manner. The proposed method is brand-neutral and functions with various refrigerators and pantries, ensuring a completely automated, AI-driven experience without user intervention, unlike existing solutions that are frequently confined to specific ecosystems.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
A representation of “Stock Smart: An Intelligent Grocery Tracking System” is shown in Figure 1. With the grocery management system, consumers can easily keep track of their food stock with voice commands or a smartphone app. The ability to manually add or delete items allows users to stay up-to-date whenever food is taken out of or put into the fridge or pantry. Cameras, RFID/barcode scanners, and weight sensors automate the tracking process. For thorough tracking, weight sensors keep an eye on weight changes when things are added or taken out, while cameras or RFID tags make it easy to identify items. By analyzing data collected by sensors, an AI system can keep track of inventory levels, track consumption rates, and predict when products will need to be replaced. Users can access their recipes, stock levels, and shopping lists regardless of where they are due to the data being synced with the cloud.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:

FIGURE 1: Block diagram of proposed system
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
A representation of “Stock Smart: An Intelligent Grocery Tracking System” is shown in Figure 1. With the grocery management system, consumers can easily keep track of their food stock with voice commands or a smartphone app. The ability to manually add or delete items allows users to stay up-to-date whenever food is taken out of or put into the fridge or pantry. Cameras, RFID/barcode scanners, and weight sensors automate the tracking process. For thorough tracking, weight sensors keep an eye on weight changes when things are added or taken out, while cameras or RFID tags make it easy to identify items. By analyzing data collected by sensors, an AI system can keep track of inventory levels, track consumption rates, and predict when products will need to be replaced. Users can access their recipes, stock levels, and shopping lists regardless of where they are due to the data being synced with the cloud.
Users can review their shopping lists, assess their existing inventory, and receive meal recommendations based on available items within the app server. Users will receive reminders when products are low in stock or nearing expiration. The system autonomously generates shopping lists and provides recipe recommendations based on consumption patterns and existing inventory to optimize customer utilization of their current stock. Furthermore, users can modify the grocery list by adding or removing items with voice commands, rendering it a convenient and user-friendly alternative. The system can progressively learn from user behavior through cloud storage, resulting in more tailored recommendations and predictions.
This innovative food management system not only monitors items in the refrigerator but also comprehensively tracks all contents in the pantry. Automated inventory tracking with the help of cameras, radio frequency identification (RFID) scanners, barcodes, and weight sensors eliminates the need for human intervention. Using machine learning techniques, the system keeps tabs on stock and even suggests recipes according to user tastes and habits. It offers easy access via a smartphone application or integration with online food shops, generates shopping lists based on usage patterns, and forecasts when items require restocking. It functions effectively with both smart refrigerators and conventional pantries, demonstrating adaptability and independence from any one environment or brand. It monitors food expiration dates and issues alerts to minimize waste.
A Stock Smart Intelligent Grocery Tracking System comprising a mix of RFID/barcode scanners, a camera, a weight sensor, a microcontroller, a Bluetooth & Wi-Fi hub, a mobile application, a cloud computer, an intuitive command center, wherein the Camera, the RFID/barcode scanner and the weight sensor automate the tracking process; Wherein for thorough tracking the weight sensor keep an eye on weight changes when things are added or taken out, while cameras or RFID tags make it easy to identify items.
In another embodiment by analyzing data collected by the sensors, an AI system keep track of inventory levels, track consumption rates, and predict when products will need to be replaced; Wherein using machine learning techniques, the system keeps tabs on stock and even suggests recipes according to user tastes and habits. In another embodiment users access their recipes, stock levels, and shopping lists regardless of where they are due to the data being synced with the cloud storage; wherein the system progressively learns from user’s behavior through cloud storage, resulting in more tailored recommendation and prediction.
In another embodiment Users review their shopping lists, assess their existing inventory, and receive meal recommendations based on available items within the mobile app server; wherein user receives reminders on mobile application when products are low in stock or nearing expiration; wherein the system autonomously generates shopping lists and provides recipe recommendations based on consumption patterns and existing inventory to optimize customer utilization of their current stock; wherein user modifies the grocery lists by adding or removing items with voice commands, rendering it a convenient and user-friendly alternative.
This innovative food management system not only monitors items in the refrigerator but also comprehensively tracks all contents in the pantry. Automated inventory tracking with the help of cameras, radio frequency identification (RFID) scanners, barcodes, and weight sensors eliminates the need for human intervention. Using machine learning techniques, the system keeps tabs on stock and even suggests recipes according to user tastes and habits. It offers easy access via a smartphone application or integration with online food shops, generates shopping lists based on usage patterns, and forecasts when items require restocking. It functions effectively with both smart refrigerators and conventional pantries, demonstrating adaptability and independence from any one environment or brand. It monitors food expiration dates and issues alerts to minimize waste.
Best Method of working
The modification of food products in inventory is monitored by a mix of RFID/barcode scanners, cameras, and weight sensors, facilitating automated, real-time inventory adjustments without human involvement.
A singular mobile application that monitors all ingredients in your refrigerator and pantry, providing a comprehensive overview of available items. It is an excellent inventory management solution.
A system that uses machine learning algorithms to compile a list of recipes from current stock, user tastes, consumption habits, and ingredients.
An AI-powered system that tracks food intake and usage rates, then uses that information to create automated lists for grocery shopping and restocking alerts.
A system utilizing cloud connectivity to promptly inform customers of low-stock items, impending food expiration, and relevant recipe suggestions.
To provide compatibility with both smart refrigerators and conventional pantry systems, thereby accommodating a diverse range of brands and ecosystems.
A cloud storage architecture enabling clients to remotely view and control their grocery store inventory. It synchronizes inventory information, shopping lists, and recipe recommendations across devices
With the built-in speech recognition technology, users can simply say what they want to add or remove from their inventory, saving them time and reducing hand strain.
A monitoring method when food goes bad and alert buyers to buy more before it goes bad using weight sensors and radio frequency identification (RFID).
An intuitive command center accessible through a mobile app that provides real-time notifications, inventory updates, recipe recommendations, shopping lists, and other features intended to improve user engagement and convenience.
, Claims:1. A Stock Smart Intelligent Grocery Tracking System, comprising: an RFID/barcode scanner; a camera; a weight sensor; a microcontroller; a Bluetooth and Wi-Fi hub; a mobile application for user interaction; a cloud computer for data storage and processing; wherein the RFID/barcode scanner, the camera, and the weight sensor automate the tracking of items in a user's refrigerator and pantry by identifying and monitoring the weight changes when items are added or removed, thereby maintaining an accurate inventory list.
2. The system as claimed in claim 1, wherein the RFID/barcode scanner is configured to identify individual items, and the camera is configured to capture visual data of the items, and wherein the weight sensor is configured to detect weight variations to track inventory levels.
3. The system as claimed in claim 1, wherein the AI system analyzes the data collected from the sensors to track inventory levels, monitor consumption rates, and predict when products need to be replaced.
4. The system as claimed in claim 3, wherein the AI system further utilizes machine learning techniques to suggest recipes based on the user’s consumption habits and available stock.
5. The system as claimed in claim 1, wherein the cloud computer synchronizes the user’s inventory, shopping list, and recipe suggestions across multiple devices, allowing access to the data remotely via the mobile application.

6. The system as claimed in claim 5, wherein the system progressively learns from the user’s behavior through cloud storage, allowing the AI system to provide increasingly tailored recommendations and predictions over time.
7. The system as claimed in claim 1, wherein the mobile application allows the user to review shopping lists, assess their current inventory, and receive meal recommendations based on the available items in their refrigerator or pantry.
8. The system as claimed in claim 7, wherein the mobile application sends notifications to the user when products are low in stock or nearing their expiration dates.
9. The system as claimed in claim 1, wherein the system automatically generates shopping lists based on consumption patterns and available inventory, optimizing the utilization of the user’s existing stock.
10. The system as claimed in claim 7, wherein the mobile application allows the user to modify their shopping list and add or remove items via voice commands, providing a convenient and hands-free experience.