Description:AN ARTIFICIAL INTELLIGENCE (AI) POWERED SMART GRILLING DEVICE AND METHOD THEREOF
BACKGROUND
Technical Field
[0001] The embodiment herein generally relates to a grilling device and more particularly, an Artificial Intelligence (AI) powered smart grilling device and method thereof.
Description of the Related Art
[0002] Traditional grilling devices often generate smoke, which can lead to discomfort in indoor spaces and pose health hazards. While advancements in smokeless grilling have been made, there is still a lack of integration of smart technologies to provide efficient cooking control, customization, and safety. The need for a smokeless grilling device to enhance the cooking experience and reduce emissions is ever more pressing in modern homes and restaurants.
[0003] Accordingly, there remains a need for an Artificial Intelligence (AI) powered smart grilling device and method thereof.
SUMMARY
[0004] In view of the foregoing, embodiments herein provide an Artificial Intelligence (AI) powered smart grilling device. The device includes a cooking surface for grilling, one or more heating elements, one or more sensors, and an Integrated Ventilation System. The cooking surface disperse heat uniformly for cooking. The one or more heating elements are situated beneath the cooking surface. A temperature of the heating elements for cooking is regulated by AI control unit. The one or more sensors is configured to determine the temperature of the cooking surface, monitor grilling chamber's moisture content, a real-time imaging to monitor grilling uniformity and gauge cooking progress. The Integrated Ventilation System is configured with an air filtration device for eliminating particulate matter and undesirable aromas from the device.
[0005] Further, the AI control unit is configured to process data from one or more sensors in real time. The AI control unit is configured to automatically adjust heating, ventilation, and alerts a user through a connected mobile application. The AI control unit is configured to enable customization for different recipes and user preferences.
[0006] In some embodiments, the sensors measure grill and food temperatures to avoid overcooking or undercooking.
[0007] In some embodiments, the integrated ventilation system actively manages smoke and heat distribution.
[0008] In some embodiments, the AI control unit includes combination of inputs and algorithms to calculate cooking times.
[0009] In some embodiments, the inputs includes at least one of a food type, a thickness, a size, a starting temperature, and a cooking preferences.
[00010] In some embodiments, the AI control unit includes machine learning modules that are trained on data about various food items, their thermal properties, and optimal cooking times.
[00011] In some embodiments, the AI control unit continuously updates cooking time based on ongoing sensor readings to compensate for heat loss or varying food thickness.
[00012] In another aspect, embodiments herein provide a method for providing an Artificial Intelligence (AI) powered smart grilling device. The method includes configuring, a cooking surface, for grilling, wherein the cooking surface disperse heat uniformly for cooking. The method further includes configuring, one or more heating elements, beneath the cooking surface. A temperature of the heating elements for cooking is regulated by AI control unit. The method further includes configuring, one or more sensors, to determine the temperature of the cooking surface, monitor grilling chamber's moisture content, a real-time imaging to monitor grilling uniformity and gauge cooking progress. configuring, an integrated ventilation system, with an air filtration device for eliminating particulate matter and undesirable aromas from the device,
[00013] Further, the AI control unit is configured to process data from one or more sensors in real time. The AI control unit is configured to automatically adjust heating, ventilation, and alerts a user through a connected mobile application. The AI control unit is configured to enable customization for different recipes and user preferences.
[00014] In some embodiments, the sensors measure grill and food temperatures to avoid overcooking or undercooking.
[00015] In some embodiments, the integrated ventilation system actively manages smoke and heat distribution.
[00016] These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating preferred embodiments and numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein, and the embodiments herein include all such modifications.
BRIEF DESCRIPTION OF THE DRAWINGS
[00017] The embodiments herein will be better understood from the following detailed description with reference to the drawings, in which:
[00018] FIG. 1 Illustrates a block diagram of an Artificial Intelligence (AI) powered smart grilling device, according to some embodiments herein; and
[00019] FIG.2 illustrates a flow chart showing a method for providing s an Artificial Intelligence (AI) powered smart grilling device, according to some embodiments herein.
DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS
[00020] The embodiments herein and the various features and advantageous details thereof are explained more fully with reference to the non-limiting embodiments that are illustrated in the accompanying drawings and detailed in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein may be practiced and to further enable those of skill in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.
[00021] As mentioned, there remains a need for an Artificial Intelligence (AI) powered smart grilling device and method thereof. Referring now to the drawings, and more particularly to FIGS. 1 through 2, where similar reference characters denote corresponding features consistently throughout the figures, there are shown preferred embodiments.
[00022] FIG. 1 Illustrates a block diagram of an Artificial Intelligence (AI) powered smart grilling device 100, according to some embodiments herein. The device 100 includes a cooking surface 102 for grilling, one or more heating elements 104, one or more sensors 106, and an Integrated Ventilation System 110. The cooking surface 102 disperse heat uniformly for cooking. The one or more heating elements 104 are situated beneath the cooking surface. A temperature of the heating elements for cooking is regulated by AI control unit 108. The one or more sensors is configured to determine the temperature of the cooking surface, monitor grilling chamber's moisture content, a real-time imaging to monitor grilling uniformity and gauge cooking progress. The Integrated Ventilation System 110 is configured with an air filtration device for eliminating particulate matter and undesirable aromas from the device.
[00023] Further, the AI control unit 108 is configured to process data from one or more sensors in real time. The AI control unit 108 is configured to automatically adjust heating, ventilation, and alerts a user through a connected mobile application. The AI control unit 108 is configured to enable customization for different recipes and user preferences.
[00024] In some embodiments, the sensors 106 measure grill and food temperatures to avoid overcooking or undercooking. The integrated ventilation system actively manages smoke and heat distribution. The AI control unit 108 includes combination of inputs and algorithms to calculate cooking times. The inputs includes at least one of a food type, a thickness, a size, a starting temperature, and a cooking preferences. The AI control unit 108 includes machine learning modules that are trained on data about various food items, their thermal properties, and optimal cooking times. The AI control unit 108 continuously updates cooking time based on ongoing sensor readings to compensate for heat loss or varying food thickness.
[00025] In some embodiments, the temperature sensors determine the temperature of the meal and the grill surface. The humidity sensors monitors the grilling chamber's moisture content to improve control over food texture. The infrared cameras offer real-time imaging to monitor grilling uniformity and gauge cooking progress.
[00026] The integrated ventilation system 110 contains an air filtration device 112 that eliminates particulate matter and undesirable aromas, maintaining a clean cooking atmosphere. actively controls smoke, airflow, and odor.
[00027] A Wi-Fi or Bluetooth integration for remote monitoring and control allows for recipe programming, real-time alerts, and status updates through user interface 114. The AI-powered smart grilling device 100 is an advanced cooking system designed for precision, convenience, and enhanced grilling results. The AI control unit 108 is centralized control that processes data from sensors to optimize cooking conditions. The AI control unit 108 can adjust heating, ventilation, and notify users via a connected app for remote monitoring and control.
[00028] By automating and improving the grilling process, this gadget guarantees flawlessly prepared meals with the least amount of work. For example, calculating optimal cooking times, the AI control unit 108 uses a combination of inputs and algorithms to calculate cooking times. The input includes food type selected via user interface or detected using sensors (e.g., cameras identifying meat cuts or vegetables). Thickness and Size which is obtained by infrared cameras and image recognition estimate the dimensions and volume of the food. Starting Temperature which is obtained by temperature sensors detect the initial temperature of the food. Cooking Preferences is obtained by User-defined doneness levels (for example rare, medium, well-done).
[00029] The AI control unit 108 uses Machine Learning Models. The Machine Learning Models are Trained on data about various food items, their thermal properties, and optimal cooking times. Further AI control unit 108 uses predictive analytics that combines historical data and real-time monitoring to estimate the time required to achieve the target doneness. The AI control unit performs Real-Time adjustments such as continuously updates cooking time based on ongoing sensor readings to compensate for factors such as heat loss or varying food thickness. regulating heat dynamically
[00030] The AI control unit 108 adjusts the heating elements in real time to ensure uniform and precise cooking. The surface temperature is monitored using heat sensors for real-time feedback. The cooking progress is monitored using infrared imaging. The infrared imaging detect changes in surface texture and color of the food, indicating the food state. An ambient conditions for cooking is monitored by humidity sensors. The external temperature readings also ensures the environment doesn't affect cooking performance.
[00031] Zonal heating control divides the cooking surface into zones, each independently regulated to address hot or cold spots. Adaptive heating increases heat during the initial searing phase. Reduces heat during slow cooking or resting phases. Continuous feedback loop is an AI which continuously compares sensor data against the target state and adjusts the power supplied to heating elements accordingly.
[00032] The AI control unit 108 minimizes smoke generation by carefully controlling temperature and airflow. The humidity sensors detect the evaporation rate from food. the oil splatter detection such as cameras and heat sensors monitor areas where excess oil may drip and cause smoke. Ventilation feedback such as sensors detect smoke or particulate levels in the air.
[00033] Temperature management maintains optimal temperatures to prevent burning of fats and oils. Avoids overheating, which can char food and produce excessive smoke. Ventilation optimization uses fans which dynamically adjust airflow to expel smoke efficiently without cooling the cooking surface. Filtration systems lets air passes through a multi-layer filter to capture particulates and odors. Smart alerts are provided to users to notify the user via app or interface if a potential smoke-causing issue (For example, too much fat dripping) is detected.
[00034] The threshold of smoke in a smart grilling system depends on the specific sensor type, the air quality standards set for the device, and the user-configured tolerances. Generally, thresholds are defined to detect when smoke reaches levels that might affect cooking quality, user comfort, or safety.
[00035] Particulate Matter (PM) levels are fine particles in smoke are measured in micrometers. The PM2.5 (Particles ≤ 2.5 micrometers) is a common metric for smoke density. Threshold: 35–50 µg/m³ (micrograms per cubic meter) for minimal smoke environments. Measures how much light is blocked by smoke (detected by optical sensors). Threshold: 5–10% opacity is typical for light, barely noticeable smoke. Higher opacity (e.g., 20% or more) triggers a response for significant smoke levels.
[00036] Some grilling systems monitor Carbon Monoxide (CO) Levels as a byproduct of smoke and incomplete combustion. Threshold: 9 ppm (parts per million) over an 8-hour average, following safety guidelines.
[00037] Volatile Organic Compounds (VOCs) is a Smoke contains VOCs from burning fats and oils. Threshold: 0.3–0.5 ppm, depending on sensitivity of the air quality system. Pre-Threshold Is an adjustment of airflow, regulate temperature to prevent smoke buildup. Once the threshold reached, the AI control unit Increase ventilation speed or activate filters and Notifies the user via app or alert. Exceeds threshold is automatically reducing heat, and if needed, pause cooking to prevent further smoke.
[00038] An AI-powered smart grilling equipment modifies cooking techniques to minimize smoke output without sacrificing meal quality. These techniques use intelligent control systems and real-time sensor feedback to regulate ventilation, moisture, and temperature. Here are some instances of how these changes can be made. To get the ideal cooking results, it's critical to comprehend how temperature, food thickness, smoke levels, and food status interact in a smart grilling system.
[00039] Temperature is one of the most critical factors in grilling. The AI-powered grill uses temperature sensors embedded in the cooking surface and food itself to monitor and regulate heat for optimal cooking.
[00040] Overheating can lead to burnt food on the outside while leaving the inside undercooked. Excess heat can also lead to excessive smoke production, especially from fat drippings.
[00041] Cooking food at too low of a temperature can result in uneven cooking and longer cooking times, potentially leaving food undercooked or raw in the middle.
[00042] Examples of temperature Control, consider searing a Meat. To sear a steak, the grill will ramp up the temperature to around 450–500°F (232–260°C) to achieve a crispy, browned exterior while locking in juices. Slow-Cooking Chicken: The AI might set a lower temperature (around 250–300°F / 121–149°C) to slowly cook chicken over several hours, ensuring tenderness without burning.
[00043] Food thickness influences both cooking time and temperature. Thicker foods require more heat and a longer cooking time to reach the desired internal temperature. Thin foods cook faster and may burn if exposed to high heat for too long.
[00044] Thicker Foods Requires more time for heat to penetrate to the center, so they need a lower and slower heat application, with careful attention to prevent charring the outer layers.
[00045] Thinner Foods Cook faster but can easily overcook or dry out if not monitored properly.
[00046] For Example, of food thickness adjustment, consider a thick Steak (1.5 inches or more). The AI system will detect the thickness using infrared sensors or image recognition, setting the grill's temperature to a medium-high heat for searing, followed by lower heat to cook it evenly through the middle.
[00047] Thin fish fillet for a delicate fish fillet (e.g., salmon), the system may automatically adjust the temperature to medium-low heat to avoid overcooking the edges before the center is fully cooked.
[00048] Vegetables: thin slices of vegetables like peppers or zucchini will be grilled quickly, and the AI adjusts the grill temperature accordingly to medium heat to avoid burning.
[00049] For example, smoke level in a grill depend on several factors, such as heat, food composition, moisture, and fat content. The AI module actively monitors smoke levels using sensors that detect particulate matter (e.g., PM2.5), and it adjusts the cooking process to minimize smoke while ensuring optimal food quality. Excessive Smoke is When food releases too much fat or when temperatures are too high, smoke production increases. It can lead to undesirable burnt flavors and create an unpleasant environment
[00050] Minimal Smoke is Lower cooking temperatures or using indirect heating can prevent excessive smoke generation, especially for fatty meats.
[00051] For Examples of smoke level management, consider a fatty meat (e.g., Ribeye): As the fat melts and drips, smoke levels increase. The AI will adjust the heat to lower levels once the fat starts to render, and may even activate increased ventilation to minimize smoke.
[00052] Lean Cuts (e.g., Chicken Breast): These cuts tend to produce minimal smoke, so the grill can maintain a steady temperature without significant adjustments.
[00053] Grilled Vegetables: Since vegetables contain less fat, the AI may set a medium temperature to avoid burning but keep the smoke levels low.
[00054] For example, food status (cooking progress) refers to the current stage of cooking (e.g., rare, medium, well-done), as well as its temperature, texture, and color. The AI control unit 108 continually monitors these parameters using sensors (infrared cameras, temperature sensors) and adjusts the cooking process accordingly.
[00055] The food's internal temperature is crucial to achieving the desired doneness. The AI tracks this and adjusts the cooking process, even when the external temperature is correct.
[00056] Sensors help the system detect the browning and caramelization of the food surface, determining when to flip or remove the food from the grills.
[00057] Meat (e.g., Steak): Rare: The internal temperature of the steak is monitored to stay around 120–125°F (49–52°C). The AI will stop cooking once the target is reached. Medium-Well: The system adjusts heat and cooking time to reach an internal temperature of around 150–160°F (66–71°C). Sensor Alerts: If a steak reaches the desired color or texture, the system sends an alert, “Your steak is medium-rare, please flip.
[00058] Chicken, undercooked: if infrared cameras detect that the exterior is well-browned but the interior remains raw, the system adjusts heat to continue cooking the chicken without over-browning the skin.
[00059] Overcooked: If sensors detect over-browning or burning on the outside but the internal temperature is too high, the AI may reduce heat or shift to indirect heat.
[00060] Fish, the AI uses both infrared cameras and temperature sensors to detect the flaking of fish, signaling that it’s done. The grill can automatically lower heat to preserve moisture after the fish is cooked through.
[00061] FIG.2 illustrates a flow chart showing a method 200 for providing s an Artificial Intelligence (AI) powered smart grilling device, according to some embodiments herein. At step 202, the method 200 includes configuring, a cooking surface, for grilling, wherein the cooking surface disperse heat uniformly for cooking. At step 204, the method 200 includes configuring, one or more heating elements, beneath the cooking surface. A temperature of the heating elements for cooking is regulated by AI control unit. At step 206, the method 200 includes configuring, one or more sensors, to determine the temperature of the cooking surface, monitor grilling chamber's moisture content, a real-time imaging to monitor grilling uniformity and gauge cooking progress. At step 208, the method 200 includes configuring, an integrated ventilation system, with an air filtration device for eliminating particulate matter and undesirable aromas from the device,
[00062] At step 210, the method 200 includes configuring the AI control unit to process data from one or more sensors in real time. At step 212, the method 200 includes configuring the AI control unit to automatically adjust heating, ventilation, and alerts a user through a connected mobile application. At step 214, the method 200 includes configuring the AI control unit to enable customization for different recipes and user preferences.
[00063] The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the scope of the appended claims.
, Claims:We claim:
1. An Artificial Intelligence (AI) powered smart grilling device (100), the device (100) comprising:
a cooking surface (102) for grilling, wherein the cooking surface disperse heat uniformly for cooking;
one or more heating elements (104) that are situated beneath the cooking surface, wherein a temperature of the heating elements for cooking is regulated by AI control unit (108);
one or more sensors (106) that is configured to determine the temperature of the cooking surface, monitor grilling chamber's moisture content, a real-time imaging to monitor grilling uniformity and gauge cooking progress; and
an Integrated Ventilation System (110) that is configured with an air filtration device (112) for eliminating particulate matter and undesirable aromas from the device,
wherein the AI control unit (108) is configured to
process data from one or more sensors in real time;
automatically adjust heating, ventilation, and alerts a user through a connected mobile application; and
enable customization for different recipes and user preferences.
2. The device (100) as claimed in claim 1, wherein the sensors (106) measure grill and food temperatures to avoid overcooking or undercooking.
3. The device (100) as claimed in claim 1, wherein the integrated ventilation system (110) actively manages smoke and heat distribution.
4. The device (100) as claimed in claim 1, wherein the AI control unit (108) comprises combination of inputs and algorithms to calculate cooking times.
5. The device (100) as claimed in claim 4, wherein the inputs comprises at least one of a food type, a thickness, a size, a starting temperature, and a cooking preferences.
6. The device (100) as claimed in claim 1, wherein the AI control unit (108) comprises machine learning modules that are trained on data about various food items, their thermal properties, and optimal cooking times.
7. The device (100) as claimed in claim 1, wherein the AI control unit (108) continuously updates cooking time based on ongoing sensor readings to compensate for heat loss or varying food thickness.
8. A method for providing an Artificial Intelligence (AI) powered smart grilling device (100), the method comprising:
configuring, a cooking surface (102), for grilling, wherein the cooking surface disperse heat uniformly for cooking;
configuring, one or more heating elements (104), beneath the cooking surface, wherein a temperature of the heating elements for cooking is regulated by AI control unit (108);
configuring, one or more sensors (106), to determine the temperature of the cooking surface, monitor grilling chamber's moisture content, a real-time imaging to monitor grilling uniformity and gauge cooking progress; and
configuring, an integrated ventilation system (110), with an air filtration device (112) for eliminating particulate matter and undesirable aromas from the device,
wherein the AI control unit (108) is configured to
process data from one or more sensors in real time;
automatically adjust heating, ventilation, and alerts a user through a connected mobile application; and
enable customization for different recipes and user preferences.
9. The method as claimed in claim 8, wherein the sensors measure grill and food temperatures to avoid overcooking or undercooking.
10. The method as claimed in claim 8, wherein the integrated ventilation system (110) actively manages smoke and heat distribution.