A smart dropbox for lost item retrieval and a method thereof

Abstract

A smart dropbox (100) for lost item retrieval is disclosed A slot positioned on the smart dropbox receives the lost item dropped by a first user (140). A receiving module (120) receives a plurality of details. A detection module (122) detects the presence of the lost item, triggers a camera to capture an image and uploads it to a centralized database (110). A categorization module (124) categorizes the lost items. An alert generation module (126) generates a real-time alert. A display module (128) displays a plurality of images of the lost items. An owner interaction module (130) enables a second user (145) to select the lost item and receive claim request. A validation module (132) validates ownership, facilitates contact with authority for claiming and enables the owner to receive the lost item. A fraud detection module (134) detects fraudulent claims. An artificial intelligence assistance module (136) provides personalized assistance.

Description

[0001] A SMART DROPBOX FOR LOST ITEM RETRIEVAL AND A METHOD THEREOF

[0002] EARLIEST PRIORITY DATE:

[0003] This Application claims priority from a Complete patent application filed in India having Patent Application No. 202341078000, filed on November 16, 2023, and titled “A SMART DROPBOX FOR LOST ITEM RETRIEVAL AND A METHOD THEREOF”.

[0004] FIELD OF INVENTION

[0005] Embodiments of the present disclosure relate to the field of smart devices, and more particularly, a smart dropbox for lost item retrieval and a method thereof.

[0006] BACKGROUND

[0007] Losing personal property is a frustrating, stressful and an annoying experience for many individuals. The traditional process of recovering lost items involves a cumbersome and timeconsuming process. Individuals who find lost items are often faced with the tedious task of submitting the lost items to a local police station or authorized personnel. This process is inconvenient and time consuming. Additionally, it becomes a challenge to return the lost items in public areas or crowded places as one needs to spot a particular authority to hand over the lost items. As a result, people are unwilling to invest their time and energy to return the lost items and therefore tend to simply ignore and walk away.

[0008] Further, when individuals do make the effort to return the lost items to the authorities, there is often a lack of transparency in the process as they do not receive clear information about the status of the lost items that they have returned. People who initiate these acts of kindness may not receive any acknowledgment, rewards, or updates regarding the lost items they've returned, leaving them without a sense of appreciation.

[0009] An existing process to return the lost items involves multiple communication systems, for example, a website and mobile applications, for posting descriptions of the lost items and found items. However, such communication systems lack a safety mechanism for the lost items and an alert system upon discovery of the lost items. Among other drawbacks, the communication systems also fail to provide a process to recover the lost items with ease.

[0010] Hence, there is a need for a smart dropbox for lost item retrieval and a method thereof which addresses the aforementioned issue(s).

[0011] OBJECTIVES OF THE INVENTIONS

[0012] The primary objective of the invention is to provide a smart dropbox equipped with advanced technologies for the retrieval of lost items, benefiting both those who have lost items and those who find the lost items.

[0013] Another objective of the invention is to provide a display module that displays a plurality of lost items and allows an owner to claim the lost item interactively.

[0014] Yet, another objective of the invention is to utilize artificial intelligence to identify, categorize, and retrieval process of lost items while providing personalized assistance to enhance the overall effectiveness and user experience.

[0015] Yet, another objective of the invention is to prevent fraudulent claims and ensure that only genuine owners retrieve the lost items.

[0016] Yet, another objective of the invention is to instill awareness, empathy and responsibility among people in an ecosystem with regard to lost items.

[0017] BRIEF DESCRIPTION

[0018] In accordance with an embodiment of the present disclosure, a smart dropbox for a lost item retrieval is provided. The smart dropbox includes a slot positioned on at least one of a top portion or a lateral portion of the smart dropbox. The slot is adapted to receive the lost item dropped by a first user. The first user is an individual returning the lost item in an ecosystem. The smart dropbox includes a processing subsystem hosted on a server. The processing subsystem is configured to execute on a network to control bidirectional communications among a plurality of modules. The processing subsystem includes a receiving module. The receiving module is configured to receive a plurality of details of the lost item from the first user through a user interface. The processing subsystem includes a detection module operatively coupled to the receiving module. The detection module is configured to detect the presence of the lost item using a plurality of sensors positioned in proximity to the slot. The detection module is configured to trigger a camera to capture an image of the lost item upon detecting the presence of the lost item. The detection module is configured to upload the captured image to a centralized database, along with the plurality of details. The processing subsystem includes a categorization module operatively coupled to the detection module. The categorization module is configured to categorize the lost items dropped into the smart dropbox based on a plurality of parameters using an artificial intelligence model. The processing subsystem includes an alert generation module operatively coupled to the categorization module. The alert generation module is configured to generate a real-time alert in response of dropping the lost items using the artificial intelligence model. The processing subsystem includes a display module operatively coupled to the alert generation module. The display module is configured to display a plurality of images of the lost items in response to a passerby entering into a predetermined vicinity of the smart dropbox. The processing subsystem includes an owner interaction module operatively coupled to the display module. The owner interaction module is configured to enable a second user to select the lost item from the smart dropbox via the user interface. The second user is the owner claiming the lost item. The owner interaction module is configured to receive a claim request from the second user. The claim request includes identification information and a proof of ownership of the lost items. The processing subsystem includes a validation module operatively coupled to the owner interaction module. The validation module is configured to validate ownership of the lost item by the proof of ownership. The validation module is configured to match the proof of ownership with the plurality of details stored in the centralized database using the artificial intelligence model. The validation module is configured to facilitate the second user to contact an authority to claim the lost item after the successful validation based on the proof of ownership. The validation module is configured to enable the owner to receive the lost item from the smart dropbox. The processing subsystem includes a fraud detection module operatively coupled to the validation module. The fraud detection module is configured to detect fraudulent claims by verifying the plurality of details with a plurality of claims and identification information stored in the centralized database. The processing subsystem includes an artificial intelligence assistance module operatively coupled to the fraud detection module. The artificial intelligence assistance module is configured to provide artificial intelligence driven personalized assistance in real-time to the second person regarding the lost items.

[0019] In accordance with another embodiment of the present disclosure, a method to operate a smart dropbox for a lost item retrieval is provided. The method includes receiving, by a slot, the lost item dropped by a first user. The first user is an individual returning the lost item in an ecosystem. The method includes receiving, by a receiving module, a plurality of details of the lost item from the first user through a user interface. The method includes detecting, by a detection module, the presence of the lost item using a plurality of sensors positioned in proximity to the slot. The method includes triggering, by the detection module, a camera to capture an image of the lost item upon detecting the presence of the lost item. The method includes uploading, by the detection module, the captured image to a centralized database, along with the plurality of details. The method includes categorizing, by a categorization module, the lost items dropped into the smart dropbox based on a plurality of parameters using an artificial intelligence model. The method includes generating, by an alert generation module, a real-time alert in response to dropping the lost items using the artificial intelligence model. The method includes displaying, by a display module, a plurality of images of the lost items in response to a passerby entering into a predetermined vicinity of the smart dropbox. The method includes enabling, by an owner interaction module, a second user to select the lost item from the smart dropbox via the user interface. The second user is the owner claiming the lost item. The method includes receiving, by the owner interaction module, a claim request from the second user. The claim request includes identification information and a proof of ownership of the lost items. The method includes validating, by a validation module ownership of the lost item by the proof of ownership. The method includes matching, by the validation module, the proof of ownership with the plurality of details stored in the centralized database using the artificial intelligence model. The method includes facilitating, by the validation module, the second user to contact an authority to claim the lost item after the successful validation based on the proof of ownership. The method includes enabling, by the validation module, the owner to receive the lost item from the smart dropbox. The method includes detecting, by a fraud detection module, fraudulent claims by verifying the plurality of details with a plurality of claims and identification information stored in the centralized database. The method includes providing, by an artificial intelligence assistance module, artificial intelligence driven personalized assistance in real-time to the second person regarding the lost items. To further clarify the advantages and features of the present disclosure, a more particular description of the disclosure will follow by reference to specific embodiments thereof, which are illustrated in the appended figures. It is to be appreciated that these figures depict only typical embodiments of the disclosure and are therefore not to be considered limiting in scope. The disclosure will be described and explained with additional specificity and detail with the appended figures.

[0020] BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The disclosure will be described and explained with additional specificity and detail with the accompanying figures in which:

[0022] FIG. 1 is a block diagram representation of a smart dropbox for a lost item retrieval in accordance with an embodiment of the present disclosure;

[0023] FIG. 2 is a block diagram representation of an exemplary embodiment of a smart dropbox for a lost item retrieval of FIG. 1 in accordance with an embodiment of the present disclosure;

[0024] FIG. 3 is a block diagram of a computer or a server in accordance with an embodiment of the present disclosure;

[0025] FIG. 4(a) illustrates a flow chart representing the steps involved in a method to operate a smart dropbox for a lost item retrieval in accordance with an embodiment of the present disclosure; and

[0026] FIG. 4(b) illustrates continued steps of the method of FIG. 4 (a) in accordance with an embodiment of the present disclosure.

[0027] 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

[0028] 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 smart dropbox, 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.

[0029] The terms “comprises”, “comprising”, or any other variations thereof, are intended to cover a nonexclusive 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 subsystems, 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.

[0030] 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.

[0031] 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.

[0032] In accordance with an embodiment of the present disclosure, a smart dropbox for a lost item retrieval is provided. The smart dropbox includes a slot positioned on at least one of a top portion or a lateral portion of the smart dropbox. The slot is adapted to receive the lost item dropped by a first user. The first user is an individual returning the lost item in an ecosystem. The smart dropbox includes a processing subsystem hosted on a server. The processing subsystem is configured to execute on a network to control bidirectional communications among a plurality of modules. The processing subsystem includes a receiving module. The receiving module is configured to receive a plurality of details of the lost item from the first user through a user interface. The processing subsystem includes a detection module operatively coupled to the receiving module. The detection module is configured to detect the presence of the lost item using a plurality of sensors positioned in proximity to the slot. The detection module is configured to trigger a camera to capture an image of the lost item upon detecting the presence of the lost item. The detection module is configured to upload the captured image to a centralized database, along with the plurality of details. The processing subsystem includes a categorization module operatively coupled to the detection module. The categorization module is configured to categorize the lost items dropped into the smart dropbox based on a plurality of parameters using an artificial intelligence model. The processing subsystem includes an alert generation module operatively coupled to the categorization module. The alert generation module is configured to generate a real-time alert in response to dropping the lost items using the artificial intelligence model. The processing subsystem includes a display module operatively coupled to the alert generation module. The display module is configured to display a plurality of images of the lost items in response to a passerby entering into a predetermined vicinity of the smart dropbox. The processing subsystem includes an owner interaction module operatively coupled to the display module. The owner interaction module is configured to enable a second user to select the lost item from the smart dropbox via the user interface. The second user is the owner claiming the lost item. The owner interaction module is configured to receive a claim request from the second user. The claim request includes identification information and a proof of ownership of the lost items. The processing subsystem includes a validation module operatively coupled to the owner interaction module. The validation module is configured to validate ownership of the lost item by the proof of ownership. The validation module is configured to match the proof of ownership with the plurality of details stored in the centralized database using the artificial intelligence model. The validation module is configured to facilitate the second user to contact an authority to claim the lost item after the successful validation based on the proof of ownership. The validation module is configured to enable the owner to receive the lost item from the smart dropbox. The processing subsystem includes a fraud detection module operatively coupled to the validation module. The fraud detection module is configured to detect fraudulent claims by verifying the plurality of details with a plurality of claims and identification information stored in the centralized database. The processing subsystem includes an artificial intelligence assistance module operatively coupled to the fraud detection module. The artificial intelligence assistance module is configured to provide artificial intelligence driven personalized assistance in real-time to the second person regarding the lost items.

[0033] FIG. 1 is a block diagram of a smart dropbox (100) for a lost item retrieval in accordance with an embodiment of the present disclosure. The smart dropbox (100) includes a slot (not shown in FIG. 1) adapted to receive the lost item dropped by a first user (140). The slot is positioned on at least one of a top portion or a lateral portion of the smart dropbox (100). In one embodiment, the slot is secured with a suitable locking mechanism. The first user (140) is an individual who finds the lost item in an ecosystem. The lost item is an object misplaced or forgotten by a second user (145) (also referred as ‘owner’) of the lost item. Examples of the lost item include, but is not limited to, wallets, mobile phones, keys, credit cards, debit cards, passports, documents, watches, any personal belongings. The ecosystem defines a specific environment that includes parks, malls, shopping complexes, transportation hubs, institutions, IT parks and the like. Usually, the smart dropbox (100) is placed in a noticeable location within the ecosystem. The capability of the smart dropbox (100) is based on the size of the lost item accommodated in the smart dropbox (100). The smart dropbox (100) is designed with a sturdy and secure construction to protect the lost items.

[0034] It will be appreciated to those skilled in the art that smart dropbox (100) may also be adapted to a suitable dimension that enhances its capability, visibility, and functionality.

[0035] The smart dropbox (100) includes a processing subsystem (105) hosted on a server (108). In one embodiment, the server (108) may include a cloud-based server. In another embodiment, parts of the server (108) may be a local server coupled to a user device (not shown in FIG.l). The processing subsystem (105) is configured to execute on a network (115) to control bidirectional communications among a plurality of modules. In one example, the network (115) may be a private or public local area network (LAN) or Wide Area Network (WAN), such as the Internet. In another embodiment, the network (115) may include both wired and wireless communications according to one or more standards and / or via one or more transport mediums. In one example, the network (115) may include wireless communications according to one of the 802.11 or Bluetooth specification sets, or another standard or proprietary wireless communication protocol. In yet another embodiment, the network (115) may also include communications over a terrestrial cellular network, including, a global system for mobile communications (GSM), code division multiple access (CDMA), and / or enhanced data for global evolution (EDGE) network.

[0036] Further, the processing subsystem (105) includes a receiving module (120) configured to receive a plurality of details of the lost item from the first user (140) through a user interface. The plurality of details includes location of the lost item, personal information, and contact information of the first user (140). The user interface may be accessed either directly on the smart dropbox (100) or through a user device operated by the first user (140). The user interface is the point at which human users interact with a computer, website or application, enabling users to interact with and manipulate digital content or physical machines. The various types of user interface include but not limited to graphical user interface, command line interface, menu-driven user interface, touch user interface, natural language user interface and the like. In case where the first user (140) uses the user device, the first user (140) must establish a secure and personalized connection to the smart dropbox (100) via the user interface. Examples of the user device includes, but is not limited to, mobile phone, desktop computer, portable digital assistant (PDA), smart phone, tablet, ultrabook, netbook, laptop, multi-processor system, microprocessor-based or programmable consumer electronic system, or any other communication device that a user may use. In one embodiment, the user interface is a touch-sensitive surface that is designed to work primarily with finger-based contacts and gestures.

[0037] In one embodiment, the first user (140) may access the user interface by scanning a quick response (QR) code affixed to the smart dropbox (100) by using the user device.

[0038] The processing subsystem (105) includes a detection module (122) configured to detect the presence of the lost item using a plurality of sensors positioned in proximity to the slot. The examples of the plurality of sensors includes, but is not limited to, proximity sensors, weight sensors, ultrasonic sensors, capacitive, photoelectric, inductive, or magnetic, pressure sensors and the like. In one embodiment, the plurality of sensors is adapted to detect the type and dimensions of the lost items. Further, the detection module (122) is configured to trigger a camera to capture an image of the lost item upon detecting the presence of the lost item. In one embodiment, the camera is positioned inside the smart dropbox (100). The image serves as a visual record and aids in identification and verification process of the lost item. Examples of camera includes, but is not limited to, an RGB camera, infrared (IR) camera, 360-degree camera and the like.

[0039] Furthermore, the detection module (122) is configured to upload the captured image to a centralized database (110), along with the plurality of details. The centralized database (110) is a database that is designed to store, manage, and provide access to information from a single, centralized location. The centralized location is accessed via an internet connection (LAN, WAN, and the like). In one embodiment, a distributed database system may be employed. The distributed database is a type of database that consists of multiple databases which are connected with each other and are spread across different physical locations.

[0040] In a specific embodiment, to enhance data integrity and security, the smart dropbox (100) incorporates blockchain technology. The blockchain technology is a decentralized, distributed, and public digital ledger that is used to store and record data. The plurality of details of the lost items are stored in the blockchain.

[0041] The processing subsystem (105) includes a categorization module (124) configured to categorize the lost items dropped into the smart dropbox (100) based on a plurality of parameters using an artificial intelligence model. The plurality of parameters includes size, shape of the lost item and the like. The categorization module (124) is configured to identify the lost item prior to categorization. The artificial intelligence model uses an artificial intelligence (Al) powered image recognition technology to identify and categorize the lost item. The artificial intelligence (Al) powered image recognition technology includes a process of identifying and understanding objects, patterns, and features of an image using artificial intelligence (Al) model. The artificial intelligence model employs an artificial intelligence algorithm. Examples of the artificial intelligence algorithm include, but are not limited to, a Deep Neural Network (DNN), Convolutional Neural Network (CNN), Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN) and Deep Q-Networks. The processing subsystem (105) includes an alert generation module (126) configured to generate a real-time alert in response to dropping the lost items using the artificial intelligence model. In response to the artificial intelligence model identifying the lost item, the alert generation module (126) generates a real-time alert. The real-time alert may be in the form of an audible alert, visual alert, or the like. The audible alert may be a beep or a voice notification, which is very effective in a crowded ecosystem. The visual alert may be a light-based notification, visuals, and the like, which is in the ecosystem where voice compromise or in conjunction with the voice alert.

[0042] The processing subsystem (105) includes a display module (128) configured to display a plurality of images and information of the lost items in response to a passerby entering a predetermined vicinity of the smart dropbox (100) via the user interface. The passerby is an individual who is moving in proximity to around the smart dropbox (100). The predetermined vicinity is set according to the specific operational requirements defined by a smart dropbox (100)'s operator. Further, the display module (128) is configured to display a plurality of advertisements via the user interface.

[0043] The processing subsystem (105) includes an owner interaction module (130) configured to enable a second user (145) to select the lost item from the smart dropbox (100) via the user interface. The second user (145) is the owner claiming the lost item. The second user (145) may view the lost items through the user interface on the smart dropbox (100) or through his / her user device.

[0044] Once the second user (145) confirms the lost item, the second user (145) raises a claim request. The owner interaction module (130) is configured to receive the claim request from the second user (145). The claim request includes identification information and a proof of ownership of the lost item. The identification information includes the name, contact details, and like of the second user (145). The proof of ownership may vary depending on the type of lost item. For instance, when the lost item is a wallet, the proof of ownership involves detailing of the contents of the wallet, images of the lost item, providing a copy of the second user’s (145) identification and the like. In another instance, if the lost item is a passport, then the proof of ownership includes personal identification information from the passport and the like.

[0045] The processing subsystem (105) includes a validation module (132) configured to validate ownership of the lost item by proof of ownership. The validation module (132) is configured to match the proof of ownership with the plurality of details stored in the centralized database (110) using the artificial intelligence model. Upon comparing the proof of ownership with the plurality of details, the smart dropbox (100) ensures that the evidence is consistent with the lost characteristics. The validation module (132) is configured to facilitate the second user (145) to contact an authority to claim the lost item after the successful validation based on the proof of ownership. The authority is responsible for managing the smart dropbox (100). The validation module (132) is configured to enable the owner to receive the lost item from the smart dropbox (100).

[0046] The processing subsystem (105) includes a fraud detection module (134) that is configured to detect fraudulent claims by verifying the plurality of details with a plurality of claims and identification information stored in the centralized database (110). In one embodiment, the fraud detection module (134) uses the artificial intelligence model. Using the artificial intelligence model only genuine and rightful owners may successfully retrieve their lost items.

[0047] The processing subsystem (105) includes an artificial intelligence assistance module (136) operatively coupled to the fraud detection module (134). The artificial intelligence assistance module (136) is configured to provide artificial intelligence driven personalized assistance in realtime to the second person regarding the lost items.

[0048] In one embodiment, the artificial intelligence assistance module (136) is adapted to offer instant recommendations to inquires made by the first user (140) and the second user (145). In such an embodiment, the artificial intelligence assistance module (136) acts like an artificial intelligence driven chat bot. As understood by those skilled in the art, chat bot is a software application that executes automated tasks over a network, such as the Internet. Chat bots are designed to conduct a conversation with a user via text, auditory, and / or visual methods to simulate human conversation, chat bots may utilize sophisticated natural language processing systems or scan for keywords from a user input and then pull a reply with the most matching keywords or the most similar wording pattern from a database.

[0049] In further embodiments, the smart dropbox (100) may include one or more touch screens, accelerometers, gyroscopes, cameras, microphones, global positioning system (GPS) devices, and so forth. In one embodiment, the various functional components of the smart dropbox (100) may reside on a single computer, or they may be distributed across several computers in various arrangements. The various components of the smart dropbox (100) may, furthermore, access one or more databases, and each of the various components of the smart dropbox (100) may be in communication with one another. Further, while the components of FIG. 1 are discussed in the singular sense, it will be appreciated that in other embodiments multiple instances of the components may be employed.

[0050] FIG. 2 is a block diagram representation of an exemplary embodiment of a smart dropbox (100) for a lost item retrieval of FIG. 1 in accordance with an embodiment of the present disclosure. The smart dropbox (100) includes a reward generation module (138) operatively coupled to the validation module (132). The reward generation module (138) is configured to generate a reward to motivate the first user (140) in response to dropping the lost item. Examples of the reward include, but is not limited to, at least one discount, coupons, cash, tokens and the like. The first user (140) is entitled to redeem the discounts or coupons at specific shops, service providers, or any offer related to business. Depending on the nature of the rewards, users may be able to redeem them both online and in physical stores. Further, the value of the lost item returned, and the frequency of the user actions (returning mentality) may influence the range and scale of the rewards. The user who consistently returns the high value lost item may receive more substantial rewards to recognize and further motivation. In one embodiment, other suitable incentives are used to encourage users to find the lost items. For example, a sponsor may provide promotions or free gifts for users that found and returned lost items. In another embodiment, the second user (145) can purchase discounted gift cards or other promotional materials to be gifted to the first user (140) who found their lost items.

[0051] Let’s consider an example when a first user (140) ‘X’ finds a blue color wallet pertaining to a particular brand “A” at a shopping complex. The user ‘X’ decides to return the lost item to the owner. User ‘X’ locates a nearby smart dropbox (100) and drops the wallet inside the smart dropbox (100) through a slot. A real-time alert is generated by the alert generation module (126) of the smart dropbox (100) helps the user ‘X’ to locate the smart dropbox (100). User X accesses a user interface provided by the smart dropbox (100) by scanning a QR code displayed on the smart dropbox (100), which directs them to a secure portal for entering a plurality of details including their personal information. A detection module (122) detects the presence of the lost item, triggers a camera to capture an image of the lost item and upload the captured image to a centralized database (110), along with a plurality of details. A categorization module (124) categorizes the lost items by an artificial intelligence model and displays a plurality of images of the lost items using a display module (128). Meanwhile, a second user (145), 'User Y,' realizes that he / she has misplaced his / her wallet at the shopping complex. The user ‘Y’ locates the smart dropbox (100) and verifies the displayed list of lost items. Upon identifying his / her wallet, the user ‘ Y’ raises a claim request along with identification information and proof of ownership. The smart dropbox (100) generates a plurality of questions about the wallet, such as brand, color, and size. The user Y provides these details, along with photographs, as proof of ownership. The validation module (132) ensures the provided information is valid and the return of the wallet. As the user ‘Y’ receives the wallet, the user ‘X’ receives a reward in the form of coupons that can be claimed in different stores in the same mall. The rewards are generated by the reward generation module of the smart dropbox (100).

[0052] FIG. 3 is a block diagram of a computer or a server in accordance with an embodiment of the present disclosure. The server (200) includes processor(s) (230), and memory (210) operatively coupled to the bus (220). The processor(s) (230), as used herein, means any type of computational circuit, such as, but not limited to, a microprocessor, a microcontroller, a complex instruction set computing microprocessor, a reduced instruction set computing microprocessor, a very long instruction word microprocessor, an explicitly parallel instruction computing microprocessor, a digital signal processor, or any other type of processing circuit, or a combination thereof.

[0053] The memory (210) includes several subsystems stored in the form of executable program which instructs the processor (230) to perform the method steps illustrated in FIG. 1. The memory (210) includes a processing subsystem (105) of FIG.l. The processing subsystem (105) further has following modules: a receiving module (120), a detection module (122), a categorization module (124), an alert generation module (126), a display module (128), an owner interaction module (130), a validation module (132), a fraud detection module (134), and an artificial intelligence assistance module (136). In accordance with an embodiment of the present disclosure, a smart dropbox (100) for a lost item retrieval is provided. The smart dropbox (100) includes a slot positioned on at least one of a top portion or a lateral portion of the smart dropbox (100). The slot is adapted to receive the lost item dropped by a first user (140). The first user (140) is an individual returning the lost item in an ecosystem. The smart dropbox (100) includes a processing subsystem (105) hosted on a server. The processing subsystem (105) is configured to execute on a network to control bidirectional communications among a plurality of modules. The processing subsystem (105) includes a receiving module (120). The receiving module (120) is configured to receive a plurality of details of the lost item from the first user (140) through a user interface. The processing subsystem (105) includes a detection module (122) operatively coupled to the receiving module (120). The detection module (122) is configured to detect the presence of the lost item using a plurality of sensors positioned in proximity to the slot. The detection module (122) is configured to trigger a camera to capture an image of the lost item upon detecting the presence of the lost item. The detection module (122) is configured to upload the captured image to a centralized database (110), along with the plurality of details. The processing subsystem (105) includes a categorization module (124) operatively coupled to the detection module (122). The categorization module (124) is configured to categorize the lost items dropped into the smart dropbox (100) based on a plurality of parameters using an artificial intelligence model. The processing subsystem (105) includes an alert generation module (126) operatively coupled to the categorization module (124). The alert generation module (126) is configured to generate a real-time alert in response of dropping the lost items using the artificial intelligence model. The processing subsystem (105) includes a display module (128) operatively coupled to the alert generation module (126). The display module (128) is configured to display a plurality of images of the lost items in response to a passerby entering into a predetermined vicinity of the smart dropbox (100). The processing subsystem (105) includes an owner interaction module (130) operatively coupled to the display module (128). The owner interaction module (130) is configured to enable a second user (145) to select the lost item from the smart dropbox (100) via the user interface. The second user (145) is the owner claiming the lost item. The owner interaction module (130) is configured to receive a claim request from the second user (145). The claim request includes identification information and a proof of ownership of the lost items. The processing subsystem (105) includes a validation module (132) operatively coupled to the owner interaction module (130). The validation module (132) is configured to validate ownership of the lost item by the proof of ownership. The validation module (132) is configured to match the proof of ownership with the plurality of details stored in the centralized database (110) using the artificial intelligence model. The validation module (132) is configured to facilitate the second user (145) to contact an authority to claim the lost item after the successful validation based on the proof of ownership. The validation module ( 132) is configured to enable the owner to receive the lost item from the smart dropbox (100). The processing subsystem (105) includes a fraud detection module (134) operatively coupled to the validation module (132). The fraud detection module (134) is configured to detect fraudulent claims by verifying the plurality of details with a plurality of claims and identification information stored in the centralized database (110). The processing subsystem (105) includes an artificial intelligence assistance module (136) operatively coupled to the fraud detection module (134). The artificial intelligence assistance module (136) is configured to provide artificial intelligence driven personalized assistance in realtime to the second person regarding the lost items.

[0054] The bus (220) as used herein refers to be internal memory channels or computer network that is used to connect computer components and transfer data between them. The bus (220) includes a serial bus or a parallel bus, wherein the serial bus transmits data in bit-serial format and the parallel bus transmits data across multiple wires. The bus (220) as used herein may include but not limited to, a system bus, an internal bus, an external bus, an expansion bus, a frontside bus, a backside bus and the like.

[0055] FIG. 4(a) illustrates a flow chart representing the steps involved in a method to operate a smart dropbox for a lost item retrieval in accordance with an embodiment of the present disclosure. FIG. 4(b) illustrates continued steps of the method of FIG. 4 (a) in accordance with an embodiment of the present disclosure. The method (300) includes receiving, by a slot, the lost item dropped by a first user. The first user is an individual returning the lost item in an ecosystem, in step 310. The lost item is an object unintentionally misplaced or forgotten by an owner of the lost item. The lost items may include wallets, mobile phones, keys, credit cards, debit cards, passports, documents, watches, any personal belongings, and the like. The ecosystem defines a specific environment that includes parks, malls, shopping complexes, transportation hubs, institutions, IT parks and the like. Usually, the smart dropbox is placed in a noticeable location within the ecosystem. The method (300) includes receiving, by a receiving module, a plurality of details of the lost item from the first user through a user interface in step 320. The plurality of details includes location of the lost item, personal information, and contact information of the first user.

[0056] The method (300) includes detecting, by a detection module, the presence of the lost item using a plurality of sensors positioned in proximity to the slot in step 330. The examples of the plurality of sensors include but are not limited to proximity sensors, weight sensors, ultrasonic sensors, capacitive, photoelectric, inductive, or magnetic, pressure sensors and the like. In an embodiment, the plurality of sensors is adapted to detect the type and dimensions of lost items.

[0057] The method (300) includes triggering, by the detection module, a camera to capture an image of the lost item upon detecting the presence of the lost item in step 340. The image serves as a visual record and aids in identification and verification process of the lost item. The examples of cameras that may include but are not limited to an RGB camera, infrared (IR) camera, 360-degree camera and the like.

[0058] The method (300) includes uploading, by the detection module, the captured image to a centralized database, along with the plurality of details in step 350. The centralized database is a database that is designed to store, manage, and provide access to information from a single, centralized location.

[0059] The method (300) includes categorizing, by a categorization module, the lost items dropped into the smart dropbox based on a plurality of parameters using an artificial intelligence model in step 360. The plurality of parameters includes size, shape of the lost item and the like. The artificial intelligence (Al) powered image recognition technology includes the process of identifying and understanding objects, patterns, and features of an image using the artificial intelligence (Al) model.

[0060] The method (300) includes generating, by an alert generation module, a real-time alert in response to dropping the lost items using the artificial intelligence model in step 370. The real-time alert may be in the form of an audible alert, visual alert, or the like.

[0061] The method (300) includes displaying, by a display module, a plurality of images of the lost items in response to a passerby entering into a predetermined vicinity of the smart dropbox in step 380. Passersby are individuals who are traveling near through the smart dropbox. The predetermined vicinity is set according to the specific operational requirements defined by a smart dropbox's operator.

[0062] The method (300) includes enabling, by an owner interaction module, a second user to select the lost item from the smart dropbox via the user interface. The second user is the owner claiming the lost item in step 390.

[0063] The method (300) includes receiving, by the owner interaction module, a claim request from the second user. The claim request includes identification information and a proof of ownership of the lost items in step 400. The identification information includes the name, contact details, and like of the second user. The proof of ownership may vary depending on the type of lost item.

[0064] The method (300) includes validating, by a validation module ownership of the lost item by the proof of ownership in step 410.

[0065] The method (300) includes matching, by the validation module, the proof of ownership with the plurality of details stored in the centralized database using the artificial intelligence model in step 420. By comparing the proof of ownership to the plurality of details, the smart dropbox ensures that the evidence is consistent with the lost characteristics.

[0066] The method (300) includes facilitating, by the validation module, the second user to contact an authority to claim the lost item after the successful validation based on the proof of ownership in step 430.

[0067] The method (300) includes enabling, by the validation module, the owner to receive the lost item from the smart dropbox in step 440.

[0068] The method (300) includes detecting, by a fraud detection module, fraudulent claims by verifying the plurality of details with a plurality of claims and identification information stored in the centralized database in step 450. In one embodiment, the fraud detection module uses the artificial intelligence model. Using the artificial intelligence model only genuine and rightful owners may successfully retrieve their lost items.

[0069] The method (300) includes providing, by an artificial intelligence assistance module, artificial intelligence driven personalized assistance in real-time to the second person regarding the lost items in step 460. In one embodiment, the artificial intelligence assistance module offers instant and artificial intelligence driven chatbot to the first user and the second user when they inquire about the lost items.

[0070] Various embodiments of the smart dropbox for a lost item retrieval as described above facilitate the return of the lost items to the owner. Further, the smart dropbox allows users to input a plurality of details about the lost item and connect with the smart dropbox easily through either the smart dropbox itself or the user device. A real-time alert is generated by the smart dropbox when the lost item is dropped in the smart dropbox thereby helping users to locate the smart dropbox and initiate a return process. Furthermore, the artificial intelligence model categorizes the lost item and offers personalized assistance thereby enhancing the overall effectiveness and user experience.

[0071] The techniques described in this disclosure may be implemented, at least in part, in hardware, software, firmware, or any combination thereof. For example, various aspects of the described techniques may be implemented within one or more processors, including one or more microprocessors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or any other equivalent integrated or discrete logic circuitry, as well as any combinations of such components. The term “processor” or “processing subsystem” may generally refer to any of the foregoing logic circuitry, alone or in combination with other logic circuitry, or any other equivalent circuitry. A control unit including hardware may also perform one or more of the techniques of this disclosure.

[0072] Such hardware, software, and firmware may be implemented within the same device or within separate devices to support the various techniques described in this disclosure. In addition, any of the described units, modules, or components may be implemented together or separately as discrete but interoperable logic devices. Depiction of different features as modules or units is intended to highlight different functional aspects and does not necessarily imply that such modules or units must be realized by separate hardware, firmware, or software components. Rather, functionality associated with one or more modules or units may be performed by separate hardware, firmware, or software components, or integrated within common or separate hardware, firmware, or software components. 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.

[0073] 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.

[0074] 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.

[0075] 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

CLAIM:

1. A smart dropbox (100) for a lost item retrieval comprising: a slot positioned on at least one of a top portion or a lateral portion of the smart dropbox (100), wherein the slot is adapted to receive the lost item dropped by a first user (140) wherein the first user (140) is an individual returning the lost item in an ecosystem; a processing subsystem (105) hosted on a server, wherein the processing subsystem (105) is configured to execute on a network to control bidirectional communications among a plurality of modules comprising: a receiving module (120) configured to: receive a plurality of details of the lost item from the first user (140) through a user interface; a detection module (122) operatively coupled to the receiving module (120), wherein the detection module (122) is configured to: detect the presence of the lost item using a plurality of sensors positioned in proximity to the slot; trigger a camera to capture an image of the lost item upon detecting the presence of the lost item; and upload the captured image to a centralized database (110), along with the plurality of details; characterized in that, a categorization module (124) operatively coupled to the detection module (122), wherein the categorization module (124) is configured to categorize the lost items dropped into the smart dropbox (100) based on a plurality of parameters using artificial intelligence image recognition;an alert generation module (126) operatively coupled to the categorization module (124), wherein the alert generation module (126) is configured to generate a real-time alert in response of dropping the lost items using an artificial intelligence model; a display module (128) operatively coupled to the alert generation module (126), wherein the display module (128) is configured to display a plurality of images of the lost items in response to a passerby entering into a predetermined vicinity of the smart dropbox (100); an owner interaction module (130) operatively coupled to the display module (128), wherein the owner interaction module (130) is configured to: enable a second user (145) to select the lost item from the smart dropbox (100) via the user interface, wherein the second user (145) is the owner claiming the lost item; and receive a claim request from the second user (145), wherein the claim request comprises identification information and a proof of ownership of the lost items; a validation module (132) operatively coupled to the owner interaction module (130), wherein the validation module (132) is configured to: validate ownership of the lost item by the proof of ownership; match the proof of ownership with the plurality of details stored in the centralized database (110) using an artificial intelligence model; facilitate the second user (145) to contact an authority to claim the lost item after the successful validation based on the proof of ownership; and enable the owner to receive the lost item from the smart dropbox (100); a fraud detection module (134) operatively coupled to the validation module (132), wherein the fraud detection module (134) is configured to detect fraudulent claims byverifying the plurality of details with a plurality of claims and identification information stored in the centralized database (110); and an artificial intelligence assistance module (136) operatively coupled to the fraud detection module (134) wherein artificial intelligence assistance module (136) is configured to provide artificial intelligence driven personalized assistance in real-time to the second person regarding the lost items.

2. The smart dropbox (100) as claimed in claim 1, wherein the plurality of sensors is adapted to detect the type and dimensions of the lost item.

3. The smart dropbox (100) as claimed in claim 1, wherein the first user (140) and the second user (145) have to establish a secure and personalized connection to the smart dropbox (100) through the user interface on a user device operated by the first user (140) and the second user (145) respectively.

4. The smart dropbox (100) as claimed in claim 1 , wherein the smart dropbox (100) comprises a secure mechanism to prevent unauthorized access to the smart dropbox (100).

5. The smart dropbox (100) as claimed in claim 1, wherein the display module (128) is configured to display a plurality of advertisements via the user interface.

6. The smart dropbox (100) as claimed in claim 1, wherein the categorization module (124) is configured to identify the lost item before the categorization using the artificial intelligence model.

7. The smart dropbox (100) as claimed in claim 1, comprising a reward generation module operatively coupled to the validation module (132), wherein the reward generation module is configured to generate a reward to motivate the first user (140) in response to dropping the lost item, wherein reward comprises at least one of discounts, cash, and tokens.

8. The smart dropbox (100) as claimed in claim 1, wherein the plurality of details comprises location of the lost item, personal information, and contact information of the first user (140).

9. The method (300) to operate a smart dropbox for a lost item retrieval comprising: receiving, by a slot, the lost item dropped by a first user wherein the first user is an individual returning the lost item in an ecosystem; (310) receiving, by a receiving module, a plurality of details of the lost item from the first user through a user interface; (320) detecting, by a detection module, the presence of the lost item using a plurality of sensors positioned in proximity to the slot; (330) triggering, by the detection module, a camera to capture an image of the lost item upon detecting the presence of the lost item; (340) uploading, by the detection module, the captured image to a centralized database, along with the plurality of details; (350) characterized in that, categorizing, by a categorization module, the lost items dropped into the smart dropbox based on a plurality of parameters using artificial intelligence image recognition; (360) generating, by an alert generation module, a real-time alert in response of dropping the lost items using an artificial intelligence model; (370) displaying, by a display module, a plurality of images of the lost items in response to a passerby entering into a predetermined vicinity of the smart dropbox; (380) enabling, by an owner interaction module a second user to select the lost item from the smart dropbox via the user interface, wherein the second user is the owner claiming the lost item; (390) receiving, by the owner interaction module, a claim request from the second user, wherein the claim request comprises identification information and a proof of ownership of the lost items; (400)validating, by a validation module ownership of the lost item by the proof of ownership; (410) matching, by the validation module, the proof of ownership with the plurality of details stored in the centralized database using an artificial intelligence model; (420) facilitating, by the validation module, the second user to contact an authority to claim the lost item after the successful validation based on the proof of ownership; (430) enabling, by the validation module, the owner to receive the lost item from the smart dropbox; (440) detecting, by a fraud detection module, fraudulent claims by verifying the plurality of details with a plurality of claims and identification information stored in the centralized database; and (450) providing, by an artificial intelligence assistance module, artificial intelligence driven personalized assistance in real-time to the second person regarding the lost items. (460).

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