A wet waste composter and a method thereof

Abstract

A wet waste composter (100) is disclosed. The wet waste composter automates process of wet waste conversion into nutrient-rich compost. A sensor-activated lid (110) opens upon detecting an object (115). An ingestion chamber (120) with one or more sprayers (200) clear residual waste. A camera (130) captures one or more images of the wet waste are processed by a AI processing unit (140) to identify the waste composition and optimize composting parameters. A crushing chamber (150) shreds the wet waste, a drying and holding chamber (160) for dehydration, and an aging and digesting chamber (170) for decomposition. A carbon and enzyme chamber (165). An exhaust fan (210) controls odors through air filter (215). The retrieval chamber (180) collects the compost. One or more sensors and valves (190) controls flow of the wet waste, with feedback displayed on an LED screen. Communicates status updates and diagnostics to a user device (220).

Description

TITLE: A WET WASTE COMPOSTER AND A METHOD THEREOFEARLIEST PRIORITY DATE:This Application claims priority from a provisional patent application filed in India having Patent Application No. 202441071851, filed on September 23, 2024, and titled “AN ELECTRIC WET WASTE COMPOSTER”.FIELD OF INVENTION

[0001] Embodiments of the present disclosure relate to the field of wet waste management, and more particularly, a wet waste composter and a method thereof.BACKGROUND

[0002] Traditionally, wet waste management poses several challenges due to dependency on municipal collection systems leading to increased landfill usage, which is a significant source of methane emissions, worsens environmental concerns. Conventional composting methods are labor intensive, time consuming and require 21- 30 days to generate compost. Furthermore, the conventional composting methods are prone to issues such as unpleasant odors, frequent manual intervention and pest infestation.

[0003] Existing electric composters have made efforts to tackle these challenges but are often limited by their inability to handle diverse types of waste. Additionally, the existing electric composters require manual pre-processing steps like sorting or cutting waste, which adds complexity for users. Furthermore, the existing electric composters often yield inconsistent results, primarily due to their lack of ability to adapt the composting cycle based on the specific composition of the waste, resulting in suboptimal processing for different types of waste materials and from cycle to cycle.

[0004] Hence, there is a need for an improved composter which addresses the aforementioned issue(s).OBJECTIVE OF THE INVENTION

[0005] An objective of the present invention is to provide a wet waste composter that efficiently converts wet waste deposited into the ingestion chamber by a user into compost within a predetermined time frame.

[0006] Yet another objective of the invention is to streamline the composting process, significantly reducing time and effort typically required by traditional composting methods, while ensuring that the output is enriched with essential nutrients for the soil.

[0007] Yet, another objective of the invention is to identify composition of the wet waste deposited in the ingestion chamber to estimate quantity and constituents of the wet waste by utilizing an artificial intelligence processing unit thereby optimizing composting cycle by dynamically adjusting one or more parameters.

[0008] Another objective of the invention is to utilize a camera to capture one or more images of the wet waste deposited in the ingestion chamber thereby providing a comprehensive and accurate analysis of the wet waste deposited.

[0009] Yet, another objective of the invention is to utilize one or more sensors and valves positioned between the ingestion chamber, crushing chamber, the drying and holding chamber, the aging and digesting chamber and the retrieval chamber to receive feedback from a respective stage to proceed with a subsequent stage enabling the one or more sensor and valve to confirm that each stage has been successfully completed prior to proceed forward.BRIEF DESCRIPTION

[0010] In accordance with an embodiment of the present disclosure, a wet waste composter is provided. The wet waste composter includes a sensor-activated lid adapted to automatically open in response to detecting an object in close proximity,wherein the object is a user’s hand, or a utensil used by the user. The wet waste composter includes an ingestion chamber integrated with the sensor-activated lid wherein the ingestion chamber is adapted to receive wet waste from the object wherein the ingestion chamber includes a camera configured to capture one or more images of the wet waste from a plurality of angles facilitated by vibration of the ingestion chamber to ensure comprehensive imaging of the wet waste. The wet waste composter also includes an artificial intelligence processing unit operatively coupled to the camera wherein the artificial intelligence processing unit is configured to receive the one or more images of the wet waste from the camera. The artificial intelligence processing unit is configured to identify composition of the wet waste to estimate quantity and constituents of the wet waste. Further, the artificial intelligence processing unit is also configured to adjust one or more parameters of a composting cycle, wherein the one or more parameters includes temperature, moisture, humidity, speed of churning, aeration, carbon-nitrogen ratio, and time duration. Furthermore, the artificial intelligence processing unit is configured to regulate introduction of additives to optimize decomposition process based on the composition and volume of the wet waste wherein the additives includes enzymes, microorganisms and other bio-agents. The wet waste composter includes a crushing chamber connected to the ingestion chamber wherein the crushing chamber is adapted to shred the wet waste to predefined dimensions. The wet waste composter also includes a drying and holding chamber connected to the crushing chamber wherein the drying and holding chamber is adapted to dehydrate the wet waste by utilizing a blower or a heater. The drying and holding chamber is configured to hold the wet waste for a predetermined time allowing continuous wet waste input without disrupting the composting cycle. The wet waste composter includes an aging and digesting chamber connected to the drying and holding chamber wherein the aging and digesting chamber is adapted to decompose the wet waste for a predefined time period based on a mixture of the wet waste deposited in the ingestion chamber under the one or more parameters wherein the one or more parameters are adjusted by the artificial intelligence processing unit. The aging and digesting chamber is also configured to initiate a custom composting cycle based on the analysis performed by the artificial intelligence processing unit to produce the compost. Further, the wet waste composter includes a retrieval chamber connected to the aging and digesting chamber wherein theretriever chamber is adapted to collect the compost of enriching soil with nutrients at end of the composting cycle. The wet waste composter includes one or more sensors and valves positioned between the ingestion chamber, crushing chamber, drying and holding chamber, aging and digesting chamber and the retrieval chamber wherein the one or more sensors and valves is adapted to receive a feedback signal from each stage of composting process to run a process asynchronously, wherein the feedback signal is displayed on a human-machine interface via a light emitting diode screen positioned on the wet waste composter, wherein the one or more sensor and valves is controlled by an artificial intelligence processing unit and a control unit.

[0011] In accordance with another embodiment of the present disclosure, a method for converting wet waste into compost is provided. The method includes detecting, by a sensor-activated lid, an object in close proximity, wherein the object is a user’s hand, or a utensil used by the user. The method also includes receiving, by an ingestion chamber, wet waste from the object wherein the ingestion chamber includes a camera configured to capture one or more images of the wet waste from a plurality of angles facilitated by vibration of the ingestion chamber to ensure comprehensive imaging of the wet waste. Further, the method includes receiving, by an artificial intelligence processing unit, the one or more images of the wet waste from the camera. Furthermore, the method includes identifying, by the artificial intelligence processing unit, composition of the wet waste to estimate quantity and constituents of the wet waste. Moreover, the method includes adjusting, by the artificial intelligence processing unit, one or more parameters of a composting cycle, wherein the one or more parameters includes temperature, moisture, humidity, speed of churning, aeration, carbon-nitrogen ratio, and time duration. Additionally, the method includes regulating, by the artificial intelligence processing unit, introduction of additives to optimize decomposition process based on the composition and volume of the wet waste wherein the additives includes enzymes, microorganisms and other bio-agents. The method includes shredding, by a crushing chamber, the wet waste to predefined dimensions. The method also includes dehydrating, by a drying and holding chamber, the wet waste by utilizing a blower or a heater. Further, the method includes holding, by the drying and holding chamber, the wet waste for a predetermined time allowing continuous wet waste input without disrupting the composting cycle. Furthermore, the method includes decomposing, by an aging and digesting chamber, the wet waste for a predefined time period based on amixture of the wet waste deposited in the ingestion chamber under the one or more parameters wherein the one or more parameters are adjusted by the artificial intelligence processing unit. The method includes initiating, by the aging and digesting chamber, a custom composting cycle based on the analysis performed by the artificial intelligence processing unit to produce the compost. The method also includes collecting, by a retrieval chamber, the compost of enriching soil with nutrients at end of the composting cycle. Further, the method includes receiving, by a one or more sensors and valves, a feedback signal from each stage of composting process to run a process asynchronously, wherein the feedback signal is displayed on a human-machine interface via a light emitting diode screen positioned on the wet waste composter, wherein the one or more sensor and valves is controlled by an artificial intelligence processing unit and a control unit.BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The disclosure will be described and explained with additional specificity and detail with the accompanying figures in which:

[0013] FIG. 1 is a block diagram representation of wet waste composter in accordance with an embodiment of the present disclosure;

[0014] FIG. 2(a) illustrates a flow chart representing the steps involved in a method for converting wet waste into compost in accordance with an embodiment of the present disclosure; and

[0015] FIG. 2(b) illustrates continued steps of the method of FIG. 2(a) in accordance with an embodiment of the present disclosure.

[0016] Further, those skilled in the art will appreciate that elements in the figures are illustrated for simplicity and may not have necessarily been drawn to scale. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the figures by conventional symbols, and the figures may show only those specific details that are pertinent to understanding the embodiments of the present disclosure so as not to obscure the figures with details that will be readily apparent to those skilled in the art having the benefit of the description herein.DETAILED DESCRIPTION

[0017] For the purpose of promoting an understanding of the principles of the disclosure, reference will now be made to the embodiment illustrated in the figures and specific language will be used to describe them. It will nevertheless be understood that no limitation of the scope of the disclosure is thereby intended. Such alterations and further modifications in the illustrated system, and such further applications of the principles of the disclosure as would normally occur to those skilled in the art are to be construed as being within the scope of the present disclosure.

[0018] The terms “comprises”, “comprising”, or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such a process or method. Similarly, one or more devices or subsystems or elements or structures or components preceded by "comprises... a" does not, without more constraints, preclude the existence of other devices, sub-systems, elements, structures, components, additional devices, additional sub-systems, additional elements, additional structures or additional components. Appearances of the phrase "in an embodiment", "in another embodiment" and similar language throughout this specification may, but not necessarily do, all refer to the same embodiment.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this disclosure belongs. The system, methods, and examples provided herein are only illustrative and not intended to be limiting.

[0020] In the following specification and the claims, reference will be made to a number of terms, which shall be defined to have the following meanings. The singular forms “a”, “an”, and “the” include plural references unless the context clearly dictates otherwise.

[0021] Embodiments of the present disclosure relates to a wet waste composter is provided. The wet waste composter includes a sensor-activated lid adapted to automatically open in response to detecting an object in close proximity, wherein the object is a user’s hand, or a utensil used by the user. The wet waste composter includes aningestion chamber integrated with the sensor-activated lid wherein the ingestion chamber is adapted to receive wet waste from the object wherein the ingestion chamber includes a camera configured to capture one or more images of the wet waste from a plurality of angles facilitated by vibration of the ingestion chamber to ensure comprehensive imaging of the wet waste. The wet waste composter also includes an artificial intelligence processing unit operatively coupled to the camera wherein the artificial intelligence processing unit is configured to receive the one or more images of the wet waste from the camera. The artificial intelligence processing unit is configured to identify composition of the wet waste to estimate quantity and constituents of the wet waste. Further, the artificial intelligence processing unit is also configured to adjust one or more parameters of a composting cycle, wherein the one or more parameters includes temperature, moisture, humidity, speed of churning, aeration, carbon-nitrogen ratio, and time duration. Furthermore, the artificial intelligence processing unit is configured to regulate introduction of additives to optimize decomposition process based on the composition and volume of the wet waste wherein the additives includes enzymes, microorganisms and other bio-agents. The wet waste composter includes a crushing chamber connected to the ingestion chamber wherein the crushing chamber is adapted to shred the wet waste to predefined dimensions. The wet waste composter also includes a drying and holding chamber connected to the crushing chamber wherein the drying and holding chamber is adapted to dehydrate the wet waste by utilizing a blower or a heater. The drying and holding chamber is configured to hold the wet waste for a predetermined time allowing continuous wet waste input without disrupting the composting cycle. The wet waste composter includes an aging and digesting chamber connected to the drying and holding chamber wherein the aging and digesting chamber is adapted to decompose the wet waste for a predefined time period based on a mixture of the wet waste deposited in the ingestion chamber under the one or more parameters wherein the one or more parameters are adjusted by the artificial intelligence processing unit. The aging and digesting chamber is also configured to initiate a custom composting cycle based on the analysis performed by the artificial intelligence processing unit to produce the compost. Further, the wet waste composter includes a retrieval chamber connected to the aging and digesting chamber wherein the retriever chamber is adapted to collect the compost of enriching soil with nutrients at end of the composting cycle. The wet waste composter includes one or more sensors andvalves positioned between the ingestion chamber, crushing chamber, drying and holding chamber, aging and digesting chamber and the retrieval chamber wherein the one or more sensors and valves is adapted to receive a feedback signal from each stage of composting process to run a process asynchronously, wherein the feedback signal is displayed on a human-machine interface via a light emitting diode screen positioned on the wet waste composter, wherein the one or more sensor and valves is controlled by an artificial intelligence processing unit and a control unit.

[0022] FIG. l is a block diagram representation of wet waste composter in accordance with an embodiment of the present disclosure. The wet waste composter (100) is a machine that converts wet waste into compost. Examples of the wet waste includes, but is not limited to food scraps, vegetables and vegetable peels, meat, sambar, dairy products and rice. The wet waste composter (100) includes a sensor- activated lid (110) adapted to automatically open in response to detecting an object (115) in close proximity. Typically, the sensor-activated lid (110) is operated by a one or more sensors. Examples of the one or more sensors includes but is not limited to proximity sensor or motion sensor. The object (115) is a user’s hand, or a utensil used by the user.

[0023] Further, the wet waste composter (100) includes an ingestion chamber (120) integrated with the sensor-activated lid (110). The ingestion chamber (120) is adapted to receive wet waste from the object (115). The ingestion chamber (120) includes a camera (130) configured to capture one or more images of the wet waste from a plurality of angles facilitated by vibration of the ingestion chamber (120) to ensure comprehensive imaging of the wet waste. In one embodiment, the camera (130) embedded in the ingestion chamber (120) may capture a video snippet of the wet waste deposited in the ingestion chamber (120). Further, the video snippet provides a realtime visual representation of the wet waste deposited in the ingestion chamber (120).

[0024] Further, the ingestion chamber (120) includes a one or more sprayers (200) adapted to spray water on internal surface of the ingestion chamber (120) to facilitate transport of the wet waste to subsequent stages, thereby facilitating removal and drainage of any residual wet waste or food waste adhered to the internal surface of the ingestion chamber (120). Further, activation of the one or more sprayers (200) may occur independently or in conjunction with the vibration of the ingestion chamber (120), ensuring thorough cleansing and efficient transfer of the waste material to subsequentprocessing stages.

[0025] Further, water is sprayed from a water pump to deliver precise quality of water to the wet waste.

[0026] Furthermore, an artificial intelligence (Al) processing unit (140) is operatively coupled to the camera (130). The Al processing unit (140) is configured to receive the one or more images of the wet waste from the camera (130). The Al processing unit (140) is also configured to identify composition of the wet waste to estimate quantity and constituents of the wet waste. Typically, the Al processing unit (140) utilizes an artificial intelligence model configured to classify the wet waste in the ingestion chamber (120). The artificial intelligence model utilizes data collected from the wet waste deposited in the ingestion chamber (120) and splits the data into a training set and test set. The training set is utilized to train the artificial intelligence model and test set is utilized to evaluate performance of the artificial intelligence model. Further, the Al processing unit (140) is configured to adjust one or more parameters of a composting cycle. The one or more parameters includes temperature, moisture, humidity, speed of churning, aeration, carbon-nitrogen ratio, and time duration. For example, based on the analysis of the Al processing unit (140), the Al processing unit (140) automatically adjusts the one or more parameters of the wet waste composter (100). If the wet waste is a combination of vegetable scraps, the Al processing unit (140) might also increase the aeration (airflow) to speed up decomposition. The Al processing unit (140) also adjusts the temperature to optimal level, the speed of churning to mix the wet waste properly and might modify the carbon-nitrogen ratio.

[0027] Further, the Al processing unit (140) is configured to regulate introduction of additives to optimize decomposition process based on the composition and volume of the wet waste. The additives includes enzymes, microorganisms and other bio-agents.

[0028] Typically, the Al processing unit (140) performs complicated artificial intelligence (Al) activities, notably those involving neural network calculations such as pattern recognition, image analysis, and data processing. For example, the Al processing unit (140) employs Al capabilities to assess the composition of the wet waste by processing the data received from the camera (130).

[0029] Further, the wet waste composter (100) is also connected to internet of things(loT) module, controller, power supply module, relay board, and diagnostic module.

[0030] Through the loT module, the wet waste composter (100) is monitored in realtime. For example, the user is allowed to check status of the composting process from the user device (220) and receive alerts to the user device (220).

[0031] Typically, operational status of the wet waste composter (100) is transmitted to the user device (220) or a remote device though a wireless communication technology. The remote device includes, but is not limited to, smartphones, tablets, laptops, or any other internet-enabled devices. The user is allowed to monitor and control various aspects of the composting process in real time, such as the current stage of the composting cycle, the estimated time for completion, and any alerts or maintenance requirements. Additionally, the wireless communication technology enables remote adjustment of settings and parameters through an associated application or interface, providing enhanced user control and convenience over the wet waste composter's operation from virtually any location, thereby ensuring seamless interaction between the user and the wet waste composter (100), contributing to an overall superior user experience.

[0032] The alerts includes but is not limited to alert notifications ( Examples of the alert notifications includes, but is not limited to cycle completion, service alerts, water leakage), status messages (Examples of the status messages includes, but is not limited to composting cycle complete, retrieval chamber full), and critical alerts (Examples of the critical alerts includes, but is not limited to annual maintenance contract, a filter is clogged which need service, electrical errors and enzyme tray empty).

[0033] The controller controls and manages mechanical and electronic systems within the wet waste composter (100).

[0034] The power supply module supplies electrical power to run the wet waste composter (100).

[0035] The relay is utilized to control motors from the controller.

[0036] The diagnostic module monitors functionality of the wet waste composter (100). Further, the diagnostic module also detects mechanical malfunctions, poweroutages, or operational inefficiencies, and notifies the user or trigger a maintenance alert to the user device (220).

[0037] Moreover, a crushing chamber (150) is connected to the ingestion chamber (120). The crushing chamber (150) is adapted to shred the wet waste to predefined dimensions. Typically, shredding the wet waste into the predefined dimensions maximizes surface area of the wet waste exposed to microbial activity, that accelerates breakdown of organic material that indirectly leads to faster decomposition.

[0038] Additionally, a drying and holding chamber (160) is connected to the crushing chamber (150). The drying and holding chamber (160) is adapted to dehydrate the wet waste by utilizing a blower or a heater. Typically, the blower or the heater is utilized to remove moisture in the wet waste. The drying and holding chamber (160) is also adapted to hold the wet waste for a predetermined time allowing continuous wet waste input without disrupting the composting cycle.

[0039] Typically, excess water from the drying and holding chamber (160) exits through the one or more sensors and valves (190) to outlet.

[0040] Further, an aging and digesting chamber (170) connected to the drying and holding chamber (160). The aging and digesting chamber (170) is adapted to decompose the wet waste for a predefined time period based on a mixture of the wet waste deposited in the ingestion chamber (120) under the one or more parameters. The one or more parameters are adjusted by the Al processing unit (140). The aging and digesting chamber (170) is also adapted to initiate a custom composting cycle based on the analysis performed by the Al processing unit (140) to produce the compost.

[0041] Further, the aging and digesting chamber (170) includes a blower, heater, humidifier and motor to control the one or more parameters of a composting cycle.

[0042] Typically, the aging and digesting chamber (170) includes a blower, heater, humidifier and motor to control the one or more parameters.

[0043] Further, an exhaust fan (210) is connected to the aging and digesting chamber (170). The exhaust fan (210) is adapted to filter out the odor of the wet waste. Further, the exhaust fan (210) is also adapted to work in conjunction with the heater to regulate thetemperature within the aging and digesting chamber (170). The exhaust fan (210) can be utilized to adjust internal moisture levels by extracting air, thereby ensuring optimal composting conditions. This dynamic control of the temperature and moisture allows for precise environmental management within the aging and digesting chamber (170), promoting efficient and effective decomposition of the wet waste.

[0044] For example, if the wet waste is high in moisture, the Al processing unit (140) adjusts the one or more parameters such as temperature and moisture based on the composition of the wet waste. The aging and digesting chamber (170) then begins a custom composting cycle designed specifically for this type of waste.

[0045] It must be noted that the wet waste remains in the aging and digesting chamber (170) for a predefined time depending on the mixture until the mixture is fully decomposed to the compost.

[0046] Further, a retrieval chamber (180) connected to the aging and digesting chamber (170). The retriever chamber is adapted to collect the compost of enriching soil with nutrients at an end of the composting cycle.

[0047] In one embodiment, a mechanism can be factory-fitted or retrofitted within the retrieval chamber (180) to automatically package the compost into biodegradable packaging, thereby ensuring that the user does not have to physically handle the compost, thereby offering a more hygienic and convenient experience for the user while maintaining sustainability.

[0048] It must be noted that, the ingestion chamber (120), the crushing chamber (150), the drying and holding chamber (160), the aging and digesting chamber (170) and the retrieval chamber (180) includes a motor, a controller and a gear to perform a plurality of operations.

[0049] Furthermore, one or more sensors and valves (190) positioned between the ingestion chamber (120), crushing chamber (150), drying and holding chamber (160), aging and digesting chamber (170) and the retrieval chamber (180) wherein the one or more sensors and valves (190) is adapted to receive a feedback signal from each stage of composting process to run a process asynchronously. The feedback signal is displayed on a human-machine interface via a light emitting diode screen positioned on the wetwaste composter (100). The one or more sensor and valves (190) is controlled by an artificial intelligence processing unit (140) and a control unit, which monitors operational status of each stage. The Al processing unit and the control unit ensures that each stage is successfully completed before proceeding to the subsequent stage.

[0050] Further, the wet waste composter (100) is self-cleaned through a water flushing system and leachate management, ensuring hygiene and operational efficiency.

[0051] In one embodiment, cleaning of the wet waste composter (100) can be operated from the user device, such as smartphone or tablet.

[0052] For example, when the user deposits the wet waste into the ingestion chamber (120), the one or more sensors and valves (190) positioned between the ingestion chamber (120) and the crushing chamber (150) remain closed until the crushing chamber (150) has processed the previous load. If the crushing chamber (150) is still processing, the feedback signal "WAIT" is transmitted, indicating that the crushing chamber (150) is not ready. In this case, instead of preventing the sensor- activated lid (110) from opening, the system prioritizes user safety by pausing the crushing mechanism, allowing the sensor-activated lid (110) to open for the user to deposit more wet waste. Once the user has deposited the wet waste and the sensor- activated lid (110) is closed, the system resumes the crushing operation. The LED screen will then display the status.

[0053] In an example, consider a scenario, where user X is preparing a meal in a kitchen and generates the wet waste, including vegetable peels and fruit scraps. As the user X approaches to the wet waste composter (100), the sensor-activated lid (110) detects presence of the user X's hand or a plate and automatically opens, allowing easy access to the ingestion chamber (120), thereby the User X deposits the wet waste into the ingestion chamber (120), that triggers the camera (130) to capture one or more images of the wet waste. The Al processing unit (140) processes the one or more images, that identifies composition of the wet waste. Based on analysis performed bythe Al processing unit (140), the Al processing unit (140) adjusts the one or more parameters such as temperature, moisture and bio enzymes for optimal composting. After shredding the wet waste into the crushing chamber (150), the wet waste is directed to the drying and holding chamber (160), where a blower helps to dehydrate the wet waste. Once the wet waste is adequately processed, the wet waste moves to the aging and digesting chamber (170), where the wet waste decomposes in the predefined time based on the one or more parameters and based on the one or more parameters the composting cycle is initiated. Throughout the process, the wet waste composter (100) communicates status of the wet waste conversion to the user device (220) providing real-time updates on status of the ingestion chamber (120), crushing chamber (150), drying and holding chamber (160), aging and digesting chamber (170) and the retrieval chamber (180) and enabling the User X to track the progress. Once completed, the enriched compost is retrieved from the retrieval chamber (180), ready for use in the user X’s garden.

[0054] In one embodiment, the wet waste composter (100) and application on user device (220) provides a plurality of recommendations on which specific plants or crop would most benefit from the compost produced at end of the composting cycle.

[0055] Yet, in another embodiment, the wet waste composter (100) includes an air filter (215) connected to the exhaust fan (210). The air filter (215) is adapted to neutralize the odour to maintain a pleasant environment ensuring that the odour released from the aging and digesting chamber (170) is clean and free from hazardous substances.

[0056] In one embodiment, the wet waste composter (100) includes a carbon and enzyme chamber (165) connected to the drying and holding chamber (160), wherein the carbon and enzyme chamber (165) is adapted to house and utilize carbon-based materials, enzymes, microorganisms and other bio-agents.

[0057] FIG. 2(a) illustrates a flow chart representing the steps involved in a method for converting wet waste into compost in accordance with an embodiment of the present disclosure. FIG. 2(b) illustrates continued steps of the method of FIG. 2(a) in accordance with an embodiment of the present disclosure.

[0058] The method (400) includes detecting, by a sensor-activated lid, an object inclose proximity, wherein the object is a user’s hand, or a utensil used by the user in step 410.

[0059] In one embodiment, the user is allowed to receive status of the wet waste conversion and diagnosis of the ingestion chamber, crushing chamber, drying and holding chamber, aging and digesting chamber, and the retrieval chamber in the wet waste conversion through a user device (220) via a communication network.

[0060] The method (400) also includes receiving, by an ingestion chamber, wet waste from the object wherein the ingestion chamber includes a camera configured to capture one or more images of the wet waste from a plurality of angles facilitated by vibration of the ingestion chamber to ensure comprehensive imaging of the wet waste in step 420.

[0061] Further, the method (400) includes receiving, by an artificial intelligence processing unit, the one or more images of the wet waste from the camera in step 430.

[0062] In one embodiment, the artificial intelligence processing unit utilizes an artificial intelligence model configured to classify the wet waste in the ingestion chamber.

[0063] In another embodiment, the artificial intelligence model utilizes data collected from the wet waste deposited in the ingestion chamber and splits the data into a training set and test set wherein the training set is utilized to train the artificial intelligence model and test set is utilized to evaluate performance of the artificial intelligence model.

[0064] Furthermore, the method (400) includes identifying, by the Al processing unit, composition of the wet waste to estimate quantity and constituents of the wet waste in step 440.

[0065] Moreover, the method (400) includes adjusting, by the artificial intelligence processing unit, one or more parameters of a composting cycle, wherein the one or more parameters includes temperature, moisture, humidity, speed of churning, aeration, carbon-nitrogen ratio, and time duration in step 450.

[0066] The method (400) also includes regulating, by the artificial intelligence processing unit, introduction of additives to optimize decomposition process based on the composition and volume of the wet waste wherein the additives includes enzymes,microorganisms and other bio-agents in step 455.

[0067] Additionally, the method (400) includes shredding, by a crushing chamber, the wet waste to predefined dimensions in step 460.

[0068] Further, the method (400) includes dehydrating, by a drying and holding chamber, the wet waste by utilizing a blower or a heater in step 470.

[0069] Further, the method (400) also includes holding, by the drying and holding chamber, the wet waste for a predetermined time allowing continuous wet waste input without disrupting the composting cycle in step 480.

[0070] Furthermore, the method (400) includes decomposing, by an aging and digesting chamber, the wet waste for a predefined time period based on a mixture of the wet waste deposited in the ingestion chamber under the one or more parameters wherein the one or more parameters are adjusted by the artificial intelligence processing unit in step 490.

[0071] Additionally, the method (400) includes initiating, by the aging and digesting chamber, a custom composting cycle based on the analysis performed by the neural processing unit to produce the compost in step 500.

[0072] Further, the method (400) includes collecting, by a retrieval chamber, the compost of enriching soil with nutrients at end of the composting cycle in step 510.

[0073] Further, the method (400) also includes receiving, by a one or more sensors and valves, a feedback signal from each stage of composting process to run a process asynchronously, wherein the feedback signal is displayed on a human-machine interface via a light emitting diode screen positioned on the wet waste composter, wherein the one or more sensor and valves is controlled by an artificial intelligence processing unit and a control unit in step 520.

[0074] In one embodiment, the feedback signal from the artificial intelligence processing unit controls the aging and digesting chamber.

[0075] Various embodiments of the wet waste composter (100) as described above offers a streamlined and efficient composting process by utilizing a sensor- activated lid(110) that enhances the user convenience by automatically opening the sensor-activated lid (110) in response to the object (115) approaching to the wet waste composter, thereby facilitating easy input of the wet waste to the ingestion chamber (120). Further, incorporation of the camera (130) in the ingestion chamber (120) and the Al processing unit (140) enables accurate identification and analysis of composition of the wet waste, allowing for precise adjustments of the one or more parameters such as temperature, moisture, and aeration, ultimately optimizing the composting cycle. Further, incorporating the feedback signal provided by the one or more sensors and valves (190) enhances operational efficiency by ensuring that each stage of conversion is executed in a seamless manner based on the feedback signal.

[0076] It will be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the disclosure and are not intended to be restrictive thereof.

[0077] While specific language has been used to describe the disclosure, any limitations arising on account of the same are not intended. As would be apparent to a person skilled in the art, various working modifications may be made to the method in order to implement the inventive concept as taught herein.

[0078] The figures and the foregoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, the order of processes described herein may be changed and are not limited to the manner described herein. Moreover, the actions of any flow diagram need not be implemented in the order shown; nor do all of the acts need to be necessarily performed. Also, those acts that are not dependent on other acts may be performed in parallel with the other acts. The scope of embodiments is by no means limited by these specific examples.

Claims

WE CLAIM:

1. A wet waste composter (100) compri sing : characterized in that, a sensor-activated lid (110) adapted to automatically open in response to detecting an object (115) in close proximity, wherein the object (115) is a user’s hand, or a utensil used by the user; an ingestion chamber (120) integrated with the sensor-activated lid (110) wherein the ingestion chamber (120) is adapted to receive wet waste from the object(115) wherein the ingestion chamber (120) comprises a camera (130) configured to capture one or more images of the wet waste from a plurality of angles facilitated by vibration of the ingestion chamber (120) to ensure comprehensive imaging of the wet waste; an artificial intelligence processing unit (140) operatively coupled to the camera (130) wherein the artificial intelligence processing unit (140) is configured to: receive the one or more images of the wet waste from the camera (130); identify composition of the wet waste to estimate quantity and constituents of the wet waste; and adjust one or more parameters of a composting cycle, wherein the one or more parameters comprises temperature, moisture, humidity, speed of churning, aeration, carbon-nitrogen ratio, and time duration; and regulate introduction of additives to optimize decomposition process based on the composition and volume of the wet waste, wherein the additives comprises enzymes, microorganisms and other bio-agents;a crushing chamber (150) connected to the ingestion chamber (120) wherein the crushing chamber (150) is adapted to shred the wet waste to predefined dimensions; a drying and holding chamber (160) connected to the crushing chamber (150) wherein the drying and holding chamber (160) is adapted to: dehydrate the wet waste by utilizing a blower or a heater; and hold the wet waste for a predetermined time allowing continuous wet waste input without disrupting the composting cycle; an aging and digesting chamber (170) connected to the drying and holding chamber (160) wherein the aging and digesting chamber (170) is adapted to: decompose the wet waste for a predefined time period based on a mixture of the wet waste deposited in the ingestion chamber (120) under the one or more parameters wherein the one or more parameters are adjusted by the artificial intelligence processing unit (140); and initiate a custom composting cycle based on the analysis performed by the artificial intelligence processing unit (140) to produce the compost; a retrieval chamber (180) connected to the aging and digesting chamber (170) wherein the retriever chamber is adapted to collect the compost of enriching soil with nutrients at end of the composting cycle; and one or more sensors and valves (190) positioned between the ingestion chamber (120), crushing chamber (150), drying and holding chamber (160), aging and digesting chamber (170) and the retrieval chamber (180) wherein the one or more sensors and valves (190) is adapted to receive a feedback signal from each stage of composting process to run a process asynchronously, wherein the feedback signal is displayed on a human-machine interface via a light emitting diode screen positioned on the wet waste composter (100), wherein the one or more sensor and valves (190) is controlled by an artificialintelligence processing unit (140) and a controller unit.

2. The wet waste composter (100) as claimed in claim 1, comprising a one or more sprayers (200) positioned inside the ingestion chamber (120) wherein the one or more sprayers (200) is adapted to spray water on internal surface of the ingestion chamber (120) to facilitate transport of the wet waste to subsequent stages.

3. The wet waste composter (100) as claimed in claim 1, comprises an exhaust fan (210) connected to the aging and digesting chamber (170) wherein the exhaust fan (210) is adapted to filter out odour of the wet waste.

4. The wet waste composter (100) as claimed in claim 3, comprises an air filter (215) connected to the exhaust fan (210), wherein the air filter (215) is adapted to neutralize the odour to maintain a pleasant environment ensuring that the odour released from the aging and digesting chamber (170) is clean and free from hazardous substances.

5. The wet waste composter (100) as claimed in claim 1, comprises a plumbing unit adapted to self-clean the wet waste composter (100) through a water flushing system and leachate management, ensuring hygiene and operational efficiency.

6. The wet waste composter (100) as claimed in claim 1, wherein the user is allowed to receive operational status of the wet waste conversion and diagnosis of the ingestion chamber (120), crushing chamber (150), drying and holding chamber (160), aging and digesting chamber (170) and the retrieval chamber (180) in the wet waste conversion through a user device (220) via a communication network.

7. The wet waste composter (100) as claimed in claim 1, wherein the neural processing unit (140) utilizes an artificial intelligence model configured to classify the wet waste in the ingestion chamber (120).

8. The wet waste composter (100) as claimed in claim 6, wherein the artificial intelligence model utilizes data collected from the wet waste deposited in the ingestion chamber (120) and splits the data into a training set and test set wherein the training set is utilized to train the artificial intelligence model and test set is utilized to evaluate performance of the artificial intelligence model.

9. The wet waste composter (100) as claimed in claim 1, wherein the feedbacksignal from the artificial intelligence processing unit (140) controls the aging and digesting chamber (170).

10. The wet waste composter (100) as claimed in claim 1, wherein the aging and digesting chamber (170) includes a blower, heater, humidifier and motor to control the one or more parameters of a composting cycle.

11. The wet waste composter (100) as claimed in claim 1, comprises a carbon and enzyme chamber (165) connected to the drying a holding chamber (160), wherein the carbon and enzyme chamber (165) is adapted to house and utilize carbon-based materials, enzymes, microorganisms and other bio-agents.

12. A method (400) for converting wet waste into compost comprising: detecting, by a sensor-activated lid, an object in close proximity, wherein the object is a user’s hand, or a utensil used by the user; ( 10) receiving, by an ingestion chamber, wet waste from the object wherein the ingestion chamber comprises a camera configured to capture one or more images of the wet waste from a plurality of angles facilitated by vibration of the ingestion chamber to ensure comprehensive imaging of the wet waste; (420) receiving, by an artificial intelligence processing unit, the one or more images of the wet waste from the camera; (430) identifying, by the artificial intelligence processing unit, composition of the wet waste to estimate quantity and constituents of the wet waste; (440) adjusting, by the artificial intelligence processing unit, one or more parameters of a composting cycle, wherein the one or more parameters comprises temperature, moisture, humidity, speed of churning, aeration, carbon-nitrogen ratio, and time duration; (450) regulating, by the artificial intelligence processing unit, introduction of additives to optimize decomposition process based on the composition and volume of the wet waste wherein the additives comprises enzymes, microorganisms and other bio-agents; (455)shredding, by a crushing chamber, the wet waste to predefined dimensions;(460) dehydrating, by a drying and holding chamber, the wet waste by utilizing a blower or a heater; (470) holding, by the drying and holding chamber, the wet waste for a predetermined time allowing continuous wet waste input without disrupting the composting cycle; (480) decomposing, by an aging and digesting chamber, the wet waste for a predefined time period based on a mixture of the wet waste deposited in the ingestion chamber under the one or more parameters wherein the one or more parameters are adjusted by the artificial intelligence processing unit; (490) initiating, by the aging and digesting chamber, a custom composting cycle based on the analysis performed by the artificial intelligence processing unit to produce the compost; (500) collecting, by a retrieval chamber, the compost of enriching soil with nutrients at end of the composting cycle; (510) and receiving, by a one or more sensors and valves, a feedback signal from each stage of composting process to run a process asynchronously, wherein the feedback signal is displayed on a human-machine interface via a light emitting diode screen positioned on the wet waste composter, wherein the one or more sensor and valves is controlled by an artificial intelligence processing unit and a control unit. (520)

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