Description:Field of the Invention
This invention relates to System of Intelligent Cooking Measurement Device using Vision computing on edges.
Background of the Invention
The device uses the camera which can detect the cooking faults like overcooking, overheating and whistle counts (in case of cookers) using the intelligence and algorithms by capturing and learning the daily action of the user. This intelligence-based device sorts out the hectic scheduling challenges of working professionals and also simplifies the risk of cooking for beginners. The pressure or burden of kitchen chores can be reduced. The accidents and hazards of the kitchen household can be minimal by letting know the user about the risk at the very instant by adapting the style and method.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. Present invention is System of Intelligent Cooking Measurement Device using Vision computing on edges.
CN108459500A The invention discloses a kind of intelligent cooking method, apparatus and kitchen range, this method to include: The temperature of food materials and corresponding time in current cooking process are obtained, temperature time curve is generated; The temperature time curve and the temperature time curve of the same food materials different weight to prestore are subjected to similarity calculation, are determined for compliance with the predicted temperature time graph of presently described food materials; According to the Current Temperatures of the predicted temperature time graph and the food materials and cooking time, the remaining time of current cooking process is calculated, with the maturity of the determination food materials. This method is matched by the real time temperature time graph for forming current cooking process with the historical temperature time graph to prestore, to obtain the predicted temperature time graph of current food materials, to according to the predicted temperature time graph and Current Temperatures and cooking time, determine the remaining cooking time of food materials, so as to the maturity of intelligent decision food materials, cooking time is automatically controlled, user experience is improved.
Research Gap: The described systems use current temperature of the predicted temperature time graph, food materials, cooking time to determine the remaining cooking time of the food material and other records the temperature and cooking operation information of each time node in cooking to form an intelligent menu, and the follow-up cooking controls the duration and degree of heating according to the intelligent menu and guides the user to cook, thereby solving the problem of no or bad cooking, whereas the Intelligent cooking measurement system primarily ensures the user safety from any unknowing kitchen hazard related to the cooking.
This intelligent device is time saving, easy to use, portable, risk informer and safety driven. It is an intelligence for any type of beginner in the household chores that uses algorithms and learning to adapt accordingly. It contains an intel neural stick that uses DNN (deep neural network) and ML (machine learning) to analyze and learn the respective user’s way and method. It stores the data in the cloud and makes it accessible to users on the tips.
CN108980915B The invention discloses an intelligent cooking method and a pot and stove combined product for intelligent cooking, wherein the method comprises the following steps: receiving user input to determine a preset dish and reading an intelligent menu according to the preset dish; if the cooking time and the temperature are read, controlling the intelligent stove to adjust the gas flow according to the corresponding relation of the cooking time and the temperature, and reminding a user to execute corresponding cooking operation according to the corresponding relation of the cooking time and the cooking operation instruction; if the temperature information is not read, acquiring the temperature information of the temperature control pot after receiving an acquisition instruction; carrying out polynomial fitting on the temperature information and the acquisition time to obtain a corresponding relation between the cooking time and the temperature; and receiving a cooking operation instruction input by a user, and storing the instruction receiving time and the cooking operation instruction in a correlation manner as a corresponding relation between the cooking time and the cooking operation instruction. The invention records the temperature and cooking operation information of each time node in cooking to form an intelligent menu, and the follow-up cooking controls the duration and degree of heating according to the intelligent menu and guides the user to cook, thereby solving the problem of no or bad cooking.
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.
The system is of smart kitchen (connected via Wi-Fi), there can be “n” number of smarts kitchens. Every kitchen is monitored by an intelligent camera that is then connected to the user’s mobile app, that can monitor every minute detail changes and activity, when further progressed it collects and stores all the data in cloud database, that can be used and accessed outside the kitchen premises, to command, the system can also alert the user if any detection of hazardous fault to minimize the risk.
The system is showing that the computing unit (raspberry). The input device in the system includes the mic for the commanding and order purpose of the user. the intelligent camera that captures and records every minute detail changes, every moment. the mouse to point the objects on the screen and click on them. The keyboard to write or type the command as per the user’s convenience.
The output device in the system includes the speaker for the complete interaction of user with system, whether by getting alerted or knowing the food is prepared. The CRT/LED/LCD screen to keep an eye on the proper functioning about the live data to the user.
Working: The computing unit (raspberry pi) is connected with all the devices of input and output (mic, intelligent camera, mouse, keyboard, speaker, CRT/LED/LCD screen). The computing unit (raspberry pi) via Wi-Fi to send signals the computing unit that consist of the intel neural stick, that use ML (machine learning) and cloud database to organize, store and manage data the battery or adapter is connected to all the hardware device. the firstly the intelligent camera captures the motion and activity in the kitchen and the displays on the user’s screen, with the use of machine learning and deep neural network in observes and understands the actions. In case of any fault detection like overcooking, overheating and extra whistles or note the time of preparing the food. The whole-time data is displayed and accessible to user even from outside of the kitchen premises, it also gets stored in the cloud and the learning system helps it to adapt the style and way of the user. The system can get installed in “n” numbers of smart kitchens and every user can use the respective kitchens data by the mobile app.
Disclosed herein a System of Intelligent Cooking Measurement Device using Vision computing on edges comprises Smart Kitchen (1), Smart Kitchen (2), Smart Kitchen (3), Smart Kitchen (n); Raspberry Pi (101), Neural Stick (102), Mouse (103), Storage (104), Keyboard (105), Speaker (106), Mic (107), Camera (108), Battery (109); and display (110). The Intelligent camera that captures the motion and actions of the user to determine whether the method is correct or not; and said intelligent camera detects the danger in the cooking and aware the users about the situation so that the mis happenings like bursting of utensils are prevented. The computing unit (raspberry pi) is connected with all the devices of input and output (mic, intelligent camera, mouse, keyboard, speaker, CRT/LED/LCD screen). The computing unit (raspberry pi) via Wi-Fi to send signals the computing unit that consist of the intel neural stick, that use ML (machine learning) and cloud database to organize, store and manage data the battery or adapter is connected to all the hardware device.
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: Proposed Diagram
Figure 2: Technical Description
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.
These and other advantages of the present subject matter would be described in greater detail with reference to the following figures. It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
The system is of smart kitchen (connected via Wi-Fi), there can be “n” number of smarts kitchens. Every kitchen is monitored by an intelligent camera that is then connected to the user’s mobile app, that can monitor every minute detail changes and activity, when further progressed it collects and stores all the data in cloud database, that can be used and accessed outside the kitchen premises, to command, the system can also alert the user if any detection of hazardous fault to minimize the risk.
The system is showing that the computing unit (raspberry). The input device in the system includes the mic for the commanding and order purpose of the user. the intelligent camera that captures and records every minute detail changes, every moment. the mouse to point the objects on the screen and click on them. The keyboard to write or type the command as per the user’s convenience.
The output device in the system includes the speaker for the complete interaction of user with system, whether by getting alerted or knowing the food is prepared. The CRT/LED/LCD screen to keep an eye on the proper functioning about the live data to the user.
Working: The computing unit (raspberry pi) is connected with all the devices of input and output (mic, intelligent camera, mouse, keyboard, speaker, CRT/LED/LCD screen). The computing unit (raspberry pi) via Wi-Fi to send signals the computing unit that consist of the intel neural stick, that use ML (machine learning) and cloud database to organize, store and manage data the battery or adapter is connected to all the hardware device. the firstly the intelligent camera captures the motion and activity in the kitchen and the displays on the user’s screen, with the use of machine learning and deep neural network in observes and understands the actions. In case of any fault detection like overcooking, overheating and extra whistles or note the time of preparing the food. The whole-time data is displayed and accessible to user even from outside of the kitchen premises, it also gets stored in the cloud and the learning system helps it to adapt the style and way of the user. The system can get installed in “n” numbers of smart kitchens and every user can use the respective kitchens data by the mobile app.
ADVANTAGES OF THE INVENTION:
1. Prevention from unfortunate events like busting of cookers and burning of food.
2. Easily accessible for working professionals in case of busy schedule.
3. Simplify the kitchen chores, as no need to keep continuous eye on the preparing food.
4. Alerts the user instantly in case of danger detection in the cooking process.
5. Its concept is an upgrade to the normal traditional cooking approach. , Claims:We Claim:
1. A System of Intelligent Cooking Measurement Device using Vision computing on edges comprises Smart Kitchen (1), Smart Kitchen (2), Smart Kitchen (3), Smart Kitchen (n); Raspberry Pi (101), Neural Stick (102), Mouse (103), Storage (104), Keyboard (105), Speaker (106), Mic (107), Camera (108), Battery (109); and display (110).
2. The system as claimed in claim 1, wherein Intelligent camera that captures the motion and actions of the user to determine whether the method is correct or not; and said intelligent camera detects the danger in the cooking and aware the users about the situation so that the mis happenings like bursting of utensils are prevented.
3. The system as claimed in claim 1, wherein the computing unit (raspberry pi) is connected with all the devices of input and output (mic, intelligent camera, mouse, keyboard, speaker, CRT/LED/LCD screen).
4. The system as claimed in claim 1, wherein the computing unit (raspberry pi) via Wi-Fi to send signals the computing unit that consist of the intel neural stick, that use ML (machine learning) and cloud database to organize, store and manage data the battery or adapter is connected to all the hardware device.
5. The system as claimed in claim 1, wherein the firstly the intelligent camera captures the motion and activity in the kitchen and the displays on the user’s screen, with the use of machine learning and deep neural network in observes and understands the actions.
6. The system as claimed in claim 1, wherein in case of any fault detection like overcooking, overheating and extra whistles or note the time of preparing the food.
7. The system as claimed in claim 1, wherein the whole-time data is displayed and accessible to user even from outside of the kitchen premises, it also gets stored in the cloud and the learning system helps it to adapt the style and way of the user.
8. The system as claimed in claim 1, wherein the system gets installed in “n” numbers of smart kitchens and every user can use the respective kitchens data by the mobile app.