Abstract: FOOD WASTE REDUCTION SYSTEM FOR RESTAURANTS The present invention discloses a food spoilage detection system integrated into a refrigerator, designed to provide real-time, compartment-specific alerts using color and odor sensors. The system continuously monitors spoilage indicators such as discoloration and gas emissions within designated compartments for fruits, vegetables, and leafy greens. Upon detecting early spoilage signs, a pre-buzzer alert is activated, prompting users to take timely action. The microcontroller processes sensor data and controls alerts, with optional LCD display and IoT connectivity for enhanced monitoring. This system effectively reduces food waste, enhances food safety, and optimizes refrigerator storage efficiency by providing targeted, proactive spoilage detection solutions.
Description:FIELD OF THE INVENTION
The present invention relates to food spoilage detection systems and, more particularly, to a compartment-specific food spoilage detection system integrated into a refrigerator. The system utilizes advanced color and odor sensors to provide early spoilage alerts for perishable food items, such as fruits, vegetables, and leafy greens.
BACKGROUND OF THE INVENTION
Food spoilage is a prevalent issue in households, particularly with perishable items such as fruits, vegetables, and leafy greens. Despite careful storage and organization, many items go unnoticed and spoil, leading to wasted food, unpleasant odors, and the potential spread of harmful bacteria within the refrigerator. Existing refrigerator systems lack effective, early- warning mechanisms to alert users of impending spoilage, especially when foods are stored in enclosed compartments. This leads to a common problem of discovering spoilage too late to salvage the food, increasing waste and unnecessary expense.
To address this, we propose an intelligent food spoilage detection system that integrates advanced color and odor sensors into refrigerator compartments. Each compartment, designated for fruits, vegetables, and leafy greens, is equipped with sensors to monitor specific spoilage indicators such as discoloration and the release of spoilage-related gases. When these sensors detect changes signaling early spoilage, a compartment-specific pre-buzzer alert is activated. This targeted approach enables users to be informed of spoilage in each compartment, allowing them to identify and remove only affected items while preserving other foods.
This system can also be customized to match the varying storage needs of different food categories, accounting for differences in spoilage rates and storage conditions. By providing real-time alerts, the system effectively helps reduce food waste, enhance food safety, and improve storage efficiency.
In sum, this food spoilage detection system offers a proactive solution that transforms refrigerator storage, helping households manage perishable food items more effectively, reduce food waste, and maintain a healthier kitchen environment.
1. Current Commercial Solutions:
• Basic Temperature and Humidity Controls: Modern refrigerators often come with temperature and humidity controls to extend the freshness of stored items. While these features help slow down spoilage, they do not detect it or provide specific alerts when spoilage begins.
• Ethylene Absorbers and Air Filters: Some refrigerators include ethylene absorbers or deodorizing air filters to slow the ripening process and reduce odors. Ethylene control helps in prolonging the freshness of fruits and vegetables but does not actively monitor or alert users to actual spoilage.
• Smart Refrigerators with Expiration Reminders: A few advanced smart refrigerators use barcode scanning or manual input to track the estimated expiration dates of foods. This feature relies on user input for setting reminders, which may not accurately reflect real-time spoilage.
2. Prior Art and Patents:
• US Patent 9,745,153 B2 - Food Freshness Monitoring System: This patent describes a system that monitors food freshness based on environmental factors in a refrigerator, but primarily focuses on using temperature and humidity rather than direct spoilage indicators such as color and odor changes.
• US Patent 10,744,392 B2 - Intelligent Sensing Refrigerator for Food Quality Monitoring: This patent covers a refrigerator that uses sensors for tracking freshness, though the focus is primarily on internal atmosphere and not compartment-specific alerts or direct spoilage indicators like odor and color sensors.
• US Patent 11,256,081 B2 - Sensor-based Food Spoilage Detection System: This patent includes sensor technology to detect spoilage but lacks a compartmentalized approach and does not specifically utilize both color and odor sensors to provide early alerts for each compartment.
3. Gaps in Existing Solutions:
• The current commercial practice lacks a comprehensive, compartmentalized system that combines color and odor detection to proactively alert users of early spoilage in real time. Existing products and patents generally focus on
environmental monitoring without targeted, sensor-driven alerts tailored to different food types.
Limitations of Current Solutions
1. Lack of Real-Time Spoilage Detection: Presently available solutions, such as temperature and humidity controls, ethylene absorbers, and air filters, only help slow down spoilage rather than detecting it. They cannot alert users to actual spoilage events occurring within specific compartments, making it easy for users to overlook when perishable items have started to deteriorate.
2. User-Dependent Expiration Tracking: Some smart refrigerators use barcode scanning or manual input to track expiration dates, but these systems rely on users to input accurate information. Expiration reminders are based on preset dates rather than real-time indicators of freshness or spoilage, making these reminders less reliable for identifying when food actually goes bad.
3. Limited Sensor Technology: Existing patented systems generally focus on monitoring environmental factors like temperature, humidity, or internal atmosphere. They do not incorporate the direct use of color and odor sensors, which are critical for detecting early spoilage markers that occur before food visually or texturally degrades.
4. Lack of Compartmentalized Monitoring: Currently available solutions do not offer compartment-specific alerts for different food categories (fruits, vegetables, leafy greens). This one-size-fits-all approach fails to account for the unique spoilage rates and conditions needed for various types of food, leading to either premature alerts or missed spoilage detections.
5. Absence of Early Alerts: Without an early warning system, users are not informed of spoilage until it’s often too late to salvage the food. Real-time alerts triggered by color and odor changes would allow users to address spoilage at the earliest signs, reducing waste and avoiding unpleasant odors.
Comparison:
Compartment-Specific Detection: The proposed system uses separate sensors for fruits, vegetables, and leafy greens, while prior systems use generic sensors for overall spoilage detection. Dual Sensor Approach: Combines color and odor sensors, offering more precise detection, unlike existing solutions relying on just one sensor type (e.g., visual or chemical sensors).
Proactive Alerts: Sends pre-buzzer alerts for each compartment, enabling early intervention, unlike current solutions that may only notify users after spoilage is already significant.
Tailored Alerts: Provides specific notifications for different food categories, improving user experience and reducing waste.
Difference:
Sensor Integration: The proposed system uses both color and odor sensors for spoilage detection, while existing solutions typically rely on either visual sensors or chemical sensors alone.
Compartment Differentiation: The new system targets specific compartments (fruits, vegetables, leafy greens), offering tailored alerts, whereas prior solutions provide general alerts for the entire refrigerator.
Proactive Alerts: This system triggers alerts before spoilage is widespread, while traditional solutions might notify only once spoilage is noticeable or significant.
In summary, existing solutions do not fully address the need for a proactive, real-time, and compartment-specific spoilage detection system that directly monitors freshness indicators like color and odor for various food types.
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.
Food spoilage is a common issue in households, leading to significant food waste, unpleasant odors, and potential health hazards due to bacterial growth. Despite the availability of modern refrigeration systems equipped with temperature and humidity controls, existing solutions do not provide real-time alerts based on actual spoilage indicators. Conventional smart refrigerators rely on expiration date tracking or barcode scanning, which are user-dependent and do not account for real-time freshness status. There remains a need for an advanced spoilage detection system that directly monitors spoilage indicators, such as color changes and gas emissions, to provide timely alerts and reduce food waste effectively.
SUMMARY OF THE INVENTION To address the limitations of existing food storage solutions, the present invention provides an intelligent food spoilage detection system integrated into refrigerator compartments. This system employs advanced color and odor sensors to continuously monitor stored food for early signs of spoilage. Each compartment, designated for specific food categories such as fruits, vegetables, and leafy greens, is equipped with dedicated sensors tailored to detect spoilage-related indicators unique to each food type.
When the system detects color shifts or the release of spoilage-related gases, a compartment-specific pre-buzzer alert is activated. This targeted notification allows users to take action by identifying and removing only the affected items, thereby preserving the freshness of the remaining food. The system minimizes waste, prevents cross-contamination, and enhances food safety.
The spoilage detection mechanism integrates a microcontroller that processes real-time sensor data and controls the alert system. The alerts may be delivered through auditory signals, visual notifications on an LCD display, or smartphone notifications if an IoT-enabled version is implemented. The system also accounts for different spoilage rates among food categories, optimizing food storage conditions accordingly.
By introducing a proactive, compartmentalized monitoring approach, the present invention revolutionizes refrigerator storage management. This intelligent system offers a practical solution to food spoilage, significantly improving household food management and reducing unnecessary expenses.
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 proposed invention is a smart food spoilage detection system integrated into a refrigerator. This system uses advanced color and odor sensors to detect food spoilage in real-time, providing early alerts for different food compartments, such as fruits, vegetables, and leafy greens. The goal is to prevent food spoilage, reduce waste, and optimize food storage.
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: SYSTEM ARCHITECTURE
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.
The proposed invention is a smart food spoilage detection system integrated into a refrigerator. This system uses advanced color and odor sensors to detect food spoilage in real-time, providing early alerts for different food compartments, such as fruits, vegetables, and leafy greens. The goal is to prevent food spoilage, reduce waste, and optimize food storage.
Implementation:
Components:
Microcontroller (e.g., Arduino or Raspberry Pi): Central unit controlling all functionalities. Color Sensors: To monitor color changes indicative of spoilage.
Odor Sensors: Detect gases released during food decay (e.g., ethylene, ammonia). Compartment Sensors: Separate sensors for fruits, vegetables, and leafy greens.
The present food spoilage detection system consists of multiple components, including a microcontroller, color sensors, odor sensors, compartment-specific sensors, an alert system, and an optional LCD display or IoT connectivity. The system is integrated into refrigerator compartments and operates as follows:
The microcontroller serves as the central processing unit, collecting and analyzing data from the color and odor sensors. Color sensors detect visual changes in food appearance, such as browning or dark spots, which indicate spoilage. Odor sensors identify the presence of gases such as ethylene and ammonia, which are commonly released during food decomposition. The compartment-specific sensors are placed strategically in fruit, vegetable, and leafy green compartments to provide precise spoilage detection tailored to each food type.
During operation, the sensors continuously monitor stored food and transmit real-time data to the microcontroller. When spoilage indicators exceed predefined thresholds, the microcontroller triggers an alert system. The pre-buzzer alert is activated in the affected compartment, allowing users to take immediate action. Additionally, the system can display the status of each compartment on an LCD screen, providing a visual representation of food freshness. If an IoT-enabled version is used, notifications are sent to the user’s smartphone for remote monitoring.
The system is designed to be energy-efficient, using low-power sensors and a microcontroller with optimized processing capabilities. The sensors are strategically placed to ensure comprehensive coverage while minimizing false alerts. The compartment-specific monitoring enables targeted intervention, reducing unnecessary food waste and maintaining refrigerator efficiency.
To further enhance usability, the system can be customized to accommodate different storage conditions. Users can adjust spoilage thresholds for specific food types, ensuring adaptability based on individual preferences and storage habits. The combination of color and odor sensors ensures highly accurate detection, addressing the shortcomings of existing single-sensor systems.
The proposed system provides a holistic approach to food spoilage detection, transforming refrigerators into intelligent storage solutions that actively preserve food freshness. By preventing spoilage before it becomes widespread, the system significantly reduces food waste and enhances overall kitchen hygiene.
Buzzer or Alert System: Emits sound or sends notifications when spoilage is detected.
LCD Display (Optional): Displays the current status of each compartment and the condition of the food.
Functionality:
Continuous Monitoring: Sensors track food conditions, detecting color shifts and odor changes associated with spoilage.
Pre-Buzzer Alert: When spoilage is detected, a buzzer or notification is triggered to inform users of the problem.
Compartment-Specific Detection: Each compartment (fruits, vegetables, leafy greens) is equipped with separate sensors, providing tailored alerts for different food types.
User Alerts: A buzzer sounds or a notification is sent when spoilage is detected in any compartment, prompting the user to remove the spoiled food before it impacts others.
How It Works:
Setup: Sensors are placed in specific compartments to detect spoilage in different food categories. A microcontroller processes the sensor data and controls the alert system.
Operation: Continuous data is collected by the sensors. When spoilage indicators are detected, the microcontroller activates the buzzer or sends notifications. Users can monitor the status of each compartment on the display or through an app (if connected).
Alert System: Once spoilage is detected, the system alerts users through sound or visual notifications, helping them take preventive measures.
Remote Control (Optional): If equipped with IoT capabilities, users can monitor and control the system via a smartphone app. The app will notify them of spoilage events and allow for remote management of the system.
This smart food spoilage detection system improves food storage management, reduces waste, and ensures better food preservation by providing early warnings and proactive solutions.
The novelty of this invention lies in its compartment-specific spoilage detection system, using both color and odor sensors to provide real-time, proactive alerts for different food categories (fruits, vegetables, leafy greens), which is not addressed by existing solutions that rely on generic or single-type sensors.
, Claims:1. A food spoilage detection system integrated into a refrigerator, comprising a microcontroller, color sensors, and odor sensors, configured to detect early spoilage indicators in compartment-specific food storage sections.
2. The system as claimed in claim 1, wherein the color sensors detect changes in food appearance, such as discoloration, indicative of spoilage.
3. The system as claimed in claim 1, wherein the odor sensors detect gases emitted during food decomposition, including ethylene and ammonia.
4. The system as claimed in claim 1, wherein each refrigerator compartment designated for specific food categories, such as fruits, vegetables, and leafy greens, is equipped with dedicated sensors for tailored monitoring.
5. The system as claimed in claim 1, wherein a pre-buzzer alert is activated upon detection of spoilage indicators, allowing users to take timely action.
6. The system as claimed in claim 1, further comprising an LCD display configured to present real-time food freshness status for each compartment.
7. The system as claimed in claim 1, wherein the microcontroller processes real-time sensor data and controls the activation of alerts upon detecting spoilage beyond predefined thresholds.
8. The system as claimed in claim 1, wherein the system includes IoT connectivity to transmit spoilage alerts to a user’s smartphone for remote monitoring and management.
9. The system as claimed in claim 1, wherein the spoilage detection thresholds are customizable to accommodate varying food storage conditions.
10. The system as claimed in claim 1, wherein the sensors operate on a low-power consumption mechanism to enhance energy efficiency within the refrigerator.
| # | Name | Date |
|---|---|---|
| 1 | 202541013897-STATEMENT OF UNDERTAKING (FORM 3) [18-02-2025(online)].pdf | 2025-02-18 |
| 2 | 202541013897-REQUEST FOR EARLY PUBLICATION(FORM-9) [18-02-2025(online)].pdf | 2025-02-18 |
| 3 | 202541013897-POWER OF AUTHORITY [18-02-2025(online)].pdf | 2025-02-18 |
| 4 | 202541013897-FORM-9 [18-02-2025(online)].pdf | 2025-02-18 |
| 5 | 202541013897-FORM FOR SMALL ENTITY(FORM-28) [18-02-2025(online)].pdf | 2025-02-18 |
| 6 | 202541013897-FORM 1 [18-02-2025(online)].pdf | 2025-02-18 |
| 7 | 202541013897-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [18-02-2025(online)].pdf | 2025-02-18 |
| 8 | 202541013897-EVIDENCE FOR REGISTRATION UNDER SSI [18-02-2025(online)].pdf | 2025-02-18 |
| 9 | 202541013897-EDUCATIONAL INSTITUTION(S) [18-02-2025(online)].pdf | 2025-02-18 |
| 10 | 202541013897-DRAWINGS [18-02-2025(online)].pdf | 2025-02-18 |
| 11 | 202541013897-DECLARATION OF INVENTORSHIP (FORM 5) [18-02-2025(online)].pdf | 2025-02-18 |
| 12 | 202541013897-COMPLETE SPECIFICATION [18-02-2025(online)].pdf | 2025-02-18 |