TECHNICAL FIELD
[0001] The present disclosure relates to the field of public health and safety. In particular, the present disclosure provides a system for health monitoring and providing assistance to passengers in public transport to facilitate resource optimization of public conveyance and promote physical distancing.

BACKGROUND
[0002] Background description includes information that may be useful in understanding the present disclosure. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed disclosure, or that any publication specifically or implicitly referenced is prior art.
[0003] Maintaining physical distancing among passengers for community safety and performing profitable public transportation is a challenging problem. Therefore there is need in the art to develop a system for facilitating optimal allocation of seats of public transport to the passengers by performing health monitoring of the passengers and providing assistive services.
[0004] Existing literature describes an enclosed safety passenger cabin that can be sterilized using ultraviolet radiation. A facial recognition and body temperature detection system coupled to audio-visual alarm in public buses is discussed in another literature. Another vehicle mounted passenger body temperature detection method with thermal imaging for identification and warning generation has been discussed in a prior art. Purification of cabin air of public vehicle by ultraviolet light has been disclosed in a literature. Design of a group seating facility in aircraft for fully inoculated passengers has been disclosed in a literature. However, none of the disclosed literature includes optimized seat allocation operation for maximum utilization of resources of public transport as well as maintaining physical distancing.
[0005] Proposed system involves recognition and identification of passengers followed by storage and retrieval of the medical and travel histories of the passengers from a remote database. Based on detection of current health status and the stored information the passengers are sanitized and then they are allocated isolated or group seating options after optimizing arbitration of available seats. The proposed system provides assistive services to the passengers by contactless interactive media, the assistive services including providing information of nearest medical facilities along the route of commute upon occurrence of medical emergency.

OBJECTS OF THE PRESENT DISCLOSURE
[0006] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are as listed herein below.
[0007] It is an object of the present disclosure to provide a passenger health monitoring and assistive system that facilitates resource optimization in public transport and maintains physical distancing.
[0008] It is an object of the present disclosure to provide a passenger health monitoring and assistive system in public transport that enables in detecting identity and health status of one or more passengers.
[0009] It is an object of the present disclosure to provide a passenger health monitoring and assistive system in public transport that enables in updating medical and travel histories of the one or more passengers, the medical and travel histories being stored in one or more servers.
[0010] It is an object of the present disclosure to provide a passenger health monitoring and assistive system in public transport that enables in comparing the health status of the one or more passengers with a set of threshold values, the set of threshold values being stored in the one or more servers.
[0011] It is an object of the present disclosure to provide a passenger health monitoring and assistive system in public transport that assigns the one or more passengers into healthy and potentially unhealthy categories based on the medical and travel histories and current health status.
[0012] It is an object of the present disclosure to provide a passenger health monitoring and assistive system in public transport that enables in determining optimal allocation of seats to the one or more passengers, the allocated seats pertaining to isolated and group seating facilities based on the assigned categories.
[0013] It is an object of the present disclosure to provide a passenger health monitoring and assistive system in public transport that enables in sanitizing the one or more passengers prior to seat allocation.
[0014] It is an object of the present disclosure to provide a passenger health monitoring and assistive system in public transport that enables in receiving inputs and queries from the one or more passengers.
[0015] It is an object of the present disclosure to provide a passenger health monitoring and assistive system in public transport that enables in transmitting instructions to the one or more passengers in response to inputs and queries.
[0016] It is an object of the present disclosure to provide a passenger health monitoring and assistive system in public transport that enables in determining nearest medical facilities along the route of commute for assisting the one or more passengers upon occurrence of medical emergency.

SUMMARY
[0017] The present disclosure relates to the field of public health and safety. In particular, the present disclosure provides a system for health monitoring and providing assistance to passengers in public transport to facilitate resource optimization of public conveyance and promote physical distancing.
[0018] An aspect of the present disclosure is to provide a passenger health monitoring and assistive system that may be enabled to detect identity and a set of health attributes of one or more passengers.
[0019] In an aspect the system may comprise of one or more monitoring and assistive assemblies associated with one or more public transport vehicles, the one or more monitoring and assistive assemblies including one or more sensors, one or more actuators and one or more input and output units.
[0020] In an aspect, the one or more monitoring and assistive assemblies may be communicatively coupled to one or more processing units and one or more servers through a communication network.
[0021] In an aspect, the system may be enabled to determine location of one or more public transport vehicles using the one or more sensors, the location being used for providing assistance to one or more passengers.
[0022] In an aspect, the one or more processing units may be enabled to receive and update medical and travel histories of the one or more passengers from and to the one or more servers.
[0023] In an aspect, the one or more processing units may be enabled to compare the set of health attributes of the one or more passengers with a set of threshold values, the set of threshold values being stored in the one or more servers.
[0024] In an aspect, the one or more processing units may be enabled to assign the one or more passengers into healthy and potentially unhealthy categories based on the medical and travel histories and current health status.
[0025] In an aspect, the one or more processing units may be enabled to determine optimal allocation of seats to the one or more passengers, the allocated seats pertaining to isolated and group seating facilities based on the assigned categories.
[0026] In an aspect, the one or more processing units may be enabled to activate one or more actuators coupled to sanitizer dispensers, the one or more actuators being configured to spray sanitizer on the one or more passengers prior to seat allocation.
[0027] In an aspect, the one or more input units may be enabled to receive inputs and queries from the one or more passengers and transmit the input and queries to the one or more processing units.
[0028] In an aspect, the one or more output units may be enabled to receive a set of instructions from the one or more processing units and transmit the set of instructions to the one or more passengers in response to inputs and queries.
[0029] In an aspect, the one or more processing units may be enabled to determine nearest medical facilities along the route of commute for assisting the one or more passengers upon occurrence of medical emergency.
[0030] In an aspect, the one or more processing units and the one or more monitoring and assistive assemblies may be enabled to receive electric power form one or more power sources coupled to the system.

BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS
[0031] The accompanying drawings are included to provide a further understanding of the present disclosure, and are incorporated in and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.
[0032] The diagrams described herein are for illustration only, which thus are not limitations of the present disclosure, and wherein:
[0033] FIG. 1 illustrates exemplary network architecture (100) of the proposed passenger health monitoring and assistive system in public transport, to elaborate upon its working in accordance with an embodiment of the present disclosure.
[0034] FIG. 2 illustrates exemplary functional components (200) of a processing unit (102) of the proposed passenger health monitoring and assistive system in public transport, in accordance with an embodiment of the present disclosure.
[0035] FIG. 3 illustrates exemplary block diagram (300) of the proposed passenger health monitoring and assistive assembly to elaborate upon its working in accordance with an embodiment of the present disclosure.
[0036] FIG. 4 illustrates exemplary flow diagram (400) of the functional steps of proposed passenger health monitoring and assistive system in public transport, in accordance with an embodiment of the present disclosure.

DETAILED DESCRIPTION
[0037] In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present invention. It will be apparent to one skilled in the art that embodiments of the present invention may be practiced without some of these specific details.
[0038] If the specification states a component or feature “may”, “can”, “could”, or “might” be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.
[0039] As used in the description herein and throughout the claims that follow, the meaning of “a,” “an,” and “the” includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the meaning of “in” includes “in” and “on” unless the context clearly dictates otherwise.
[0040] While embodiments of the present invention have been illustrated and described in the accompanying drawings, the embodiments are offered only in as much detail as to clearly communicate the disclosure and are not intended to limit the numerous equivalents, changes, variations, substitutions and modifications falling within the spirit and scope of the present disclosure as defined by the appended claims.
[0041] The present disclosure relates to the field of public health and safety. In particular, the present disclosure provides a system for health monitoring and providing assistance to passengers in public transport to facilitate resource optimization of public conveyance and promote physical distancing.
[0042] FIG. 1 illustrates exemplary network architecture (100) of the proposed passenger health monitoring and assistive system in public transport, to elaborate upon its working in accordance with an embodiment of the present disclosure.
[0043] In an embodiment, the proposed passenger health monitoring and assistive system in public transport (100) (interchangeably known as the system (100), herein) may include one or more servers (104), one or more monitoring and assistive assemblies (108-1,108-2,…,108-N) (collectively referred to as monitoring and assistive assemblies (108) and individually referred to as monitoring and assistive assembly (108)) and one or more processing units (102) communicatively coupled to the one or more servers (104) and the one or more monitoring and assistive assemblies (108). One or more passengers (110-1,110-2,…,110-N, 110-N+1,…,110-2N, 110-2N+1…,110-3N,…) (collectively referred to as passengers (110), and individually referred to as passenger (110), herein) may be associated with one or more monitoring and assistive assemblies (108). The one or more processing units (102), the one or more servers (104) and the one or more monitoring and assistive assemblies (108) may be communicatively coupled to each other through a communication network (106).
[0044] In an embodiment, the one or more servers (104) may pertain to any or a combination of national identification databases of citizens, inbound non-resident citizens and foreign nationals including the one or more passengers (110), the databases being received from governance institutions, air-travel authorities, embassies and immigration facilities. By way of example, the one or more servers (104) may include a computing device, a computer a laptop, an industrial asset, a mainframe and the likes associated with storage or memory and an application program for interaction with authorized personnel.
[0045] In an embodiment, the one or more servers (104) may contain information pertaining to recognition of the one or more passengers, the recognition supported by any or a combination of unique identification numbers, social security numbers, fingerprint scans, iris scans, facial features, anatomical features, passport number and the likes. In another embodiment, the one or more servers (104) may pertain to travel history of the recognized passengers. By way of example, travel history may pertain to any or a combination of recent travel routes, sources and destinations of travel, halting and layover record, record of inter-state, intra-state and international travel, frequency of travel, dates of travel, duration of travel and travel in predefined disease-prone zones, that may be utilized for evaluating potential health hazard and contact tracing.
[0046] In an embodiment, the information stored in one or more servers (104) may pertain to medical history of the one or more passengers (110). By way of example, the medical history may pertain to any or a combination of ailments, surgeries, chronic diseases, recent infections, quarantine history, date of detection of contagious infection, number of days after medical isolation, post-illness complications, vaccination history, certification of non-exposure to infectious diseases and the likes. The medical history may be obtained from any or a combination of user inputs, hospital chains, insurance services, national health records and the likes.
[0047] In an embodiment, the network (106) for communication among the one or more servers (104), the one or more processing units (102) and the one or more monitoring and assistive assemblies (108) may include any or a combination of Wireless local area network (WLAN), Wide area network (WAN), Wireless fidelity (Wi-fi), Worldwide interoperability for microwave access (WiMAX), cellular communication network, Internet, and the likes. The communication network (106) may be a wireless network, a wired network or a combination thereof that may be implemented as one of the different types of networks, such as Intranet, Local Area Network (LAN), Wide Area Network (WAN), Internet, and the likes. Further, the communication network (106) may either be a dedicated network or a shared network. The shared network may represent an association of the different types of networks that may use variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP) and the likes.
[0048] In an embodiment, the one or more monitoring and assistive assemblies (108) may be coupled to one or more public transport vehicles like buses, cars, trains, taxis, two and three wheelers, trucks, aircrafts, boats, ships and the likes. Each monitoring and assistive assembly (108) may be associated with one or more passengers (110). In an exemplary embodiment, the one or more monitoring and assistive assemblies (108) may be enabled to detect identity and health status of the one or more passengers (110), sanitize the one or more passengers (110) and perform interactions with the one or more passengers, the interactions pertaining to providing assistance to the one or more passengers (110). In an embodiment, the one or more processing units (102) coupled to the one or more monitoring and assistive assemblies (108) may be enabled to perform a set of operations pertaining to recognition of the passengers (110), determination of current health status of the passengers (110), generation of optimized allocation of seats to the passengers (110) and generation of assistive responses to inputs and queries placed by the passengers (110).
[0049] In an embodiment, the system (100) may include one or more power sources operatively coupled to the one or more monitoring and assistive assemblies (108) and the one or more processing units (102). The one or more power sources may pertain to any or a combination of Lithium polymer, Nickel cadmium, Lithium-Ion batteries, inverters and power lines. The one or more power sources may be configured to deliver electric power to the one or more monitoring and assistive assemblies (108) and the one or more processing units (102) in forms including any or a combination of direct current, alternating current, solar current, bio-gas current and wind current.
[0050] FIG. 2 illustrates exemplary functional components (200) of a processing unit (102) of the proposed passenger health monitoring and assistive system in public transport, in accordance with an embodiment of the present disclosure.
[0051] In an embodiment, the one or more processing units (102) may include one or more processor(s) (202). The one or more processor(s) (202) may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, logic circuitries, and/or any devices that manipulate data based on operational instructions. Among other capabilities, the one or more processor(s) (202) may be configured to fetch and execute computer-readable instructions stored in a memory (204) of the processing unit (102). The memory (204) may store one or more computer-readable instructions or routines, which may be fetched and executed to create or share the data units over a network service. The memory (204) may comprise any non-transitory storage device including, for example, volatile memory such as RAM, or non-volatile memory such as EPROM, flash memory, and the like.
[0052] In an embodiment, the one or more processing units (102) may also comprise an interface(s) (206). The interface(s) (206) may comprise a variety of interfaces, for example, interfaces for data input and output devices, referred to as I/O devices, storage devices, and the like. The interface(s) (206) may facilitate communication of the processing unit (102) with various components coupled to the system (100) such as the one or more servers (104), and the one or more monitoring and assistive assemblies (108) and its components through the communication network (106). The interface(s) (206) may also provide a communication pathway for one or more components of the one or more processing units (102). Examples of such components include, but are not limited to, memory (204) and the database (222).
[0053] In an embodiment, the processing engine(s) (208) of the one or more processing units (102) may be implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the first processing engine(s) (208). The processing engine (208) may be implemented with machine learning techniques pertaining to any or a combination of supervised, unsupervised and reinforcement learning methodologies. In examples described herein, such combinations of hardware and programming may be implemented in several different ways. For example, the programming for the processing engine(s) (208) may be processor-executable instructions stored on a non-transitory machine-readable storage medium and the hardware for the processing engine(s) (208) may comprise a processing resource (for example, one or more processors), to execute such instructions. In the present examples, the machine-readable storage medium may store instructions that, when executed by the processing resource, implement the processing engine(s) (208). In such examples, the one or more processing units (102) may comprise the machine-readable storage medium storing the instructions and the processing resource to execute the instructions, or the machine-readable storage medium may be separate but accessible to the one or more processing units (102) and the processing resource. In other examples, the processing engine(s) (208) may be implemented by electronic circuitry.
[0054] In an embodiment, the processing engine (208) may include a recognition unit (210) that may be configured to extract a first set of data packets pertaining to identity of the passenger from the information received from the one or more monitoring and assistive assemblies (108). The first set of data packets may pertain to any or a combination of facial scans, iris scans, fingerprint, voice scans and the likes that may be used for uniquely identifying the one or more passengers (110).
[0055] In an embodiment, the processing engine (208) may include a verification unit (216) that may be configured to compare the first set of data packets with a second set of data packets. The second set of data packets may pertain to any or a combination of predefined and pre-registered anatomical scans and a set of unique identification features like but not limited to national identity number, social security number, passport number of the one or more passengers, the registered information being stored on the one or more servers (104). The verification unit (216) may be enabled to generate a set of verification signals upon comparing the first and the second set of data packets. The set of verification signals may be in computer readable digital format. Upon successful verification, a set of acknowledgement signals may be generated by the one or more processors (202) and the set of acknowledgement signals may be transmitted to registered user devices associated with the one or more passengers (110), the user devices being smart phone, laptop, tablet PC, digital assistant and the likes.
[0056] In an embodiment, the processing engine (208) may include a health screening unit (212) that may be configured to extract a third set data packets pertaining to health status of the verified passengers (110). By way of non-limiting example, the health status may pertain to a predefined set of health attributes including any or a combination of body temperature, blood pressure, oxygen saturation, body weight and identifiable symptoms of general well-being such as cough, runny nose, red eyes, coarse voice, chills and the likes that may be received from the one or more monitoring and assistive assemblies (108). In an embodiment, the current health status may be validated by comparing the third set of data packets with a fourth set of data packets and correspondingly generating a set of validation signals. The fourth set of data packets may be received from the one or more servers (104), the fourth set of data packets being related to records of medical history and travel history of the one or more verified passengers (110). In an embodiment, the travel history and the medical history of the one or more verified passengers (110) may correspond to a predefined duration preceding the current date of travel. The set of validation signals may pertain to personalized set of reference levels for determination of the health category of the concerned one or more passengers (110).
[0057] In an embodiment, the one or more processors (202) may be enabled to compare, the third set of data packets with a fifth set of data packets and correspondingly generate a sixth set of data packets. The fifth set of data packets may be received from the one or more servers (104), the fifth set of data packets pertaining to threshold values of the predefined set of health attributes. In an embodiment, the threshold values of the predefined set of health attributes may be determined based on factors related to any or a combination of age, gender and validation signals corresponding to the one or more passengers (110).
[0058] In an exemplary embodiment, the sixth set of data packets may pertain to categorization of the one or more passengers (110) into any one of healthy and potentially unhealthy categories. By way of example, the one or more potentially unhealthy passengers may be associated with one or more levels of warning indicators, the number of passengers corresponding to the one or more levels of warning indicators being used to optimize seat allocation in the public transport vehicle. Current health status based classifications pertaining to the one or more levels of warning indicators generated by the one or more processors (202) may be transmitted to the registered user devices associated with the passengers (110).
[0059] In an embodiment, the processing engine (208) may include a sanitization unit (214) that may be configured to activate the one or more monitoring and assistive assemblies (108) associated with the one or more public transport vehicles to sanitize the verified, validated and screened passengers (110). The one or more processors (202) may be enabled to generate a seventh set of data packets pertaining to a set of actuation signals. The seventh set of data packets may be in the form of binary stream. The seventh set of data packets may be transmitted to the one or more monitoring and assistive assemblies (108), the set of actuation signals being configured to operate for predetermined time duration after activating the sanitizer dispensers.
[0060] In an embodiment, the processing engine (208) may include a decision unit (218) that may be configured to generate an eighth set of data packets based on the set of verification and the set of validation signals and the sixth set of data packets. The eighth set of data packets may pertain to optimized allocation of seats of the one or more public transport vehicles to the one or more sanitized passengers (110). By way of example, each allocated seat may correspond to any one of isolated and group seating facilities. In an embodiment, group seating facilities may be allocated to one or more healthy passengers and isolated seating facilities may be allocated to one or more potentially unhealthy passengers. The optimized allocation of seats to the one or more passengers (110) may facilitate maximum utilization of resources of public transportation and minimization of travel related charges imposed on the passengers (110).
[0061] In an embodiment, the eighth set of data packets may be transmitted to the one or more monitoring and assistive assemblies (108) for further transmission to the passengers (110). The set of verification signals and the set of validation signals may be transmitted by the one or more processors (202) to the one or more servers (104). The set of verification and the set of validation signals may be configured to create new records or update existing records of travel and medical history of the one or more passengers (110), the records being stored in the one or more servers (104) for secured retrieval by authorized users.
[0062] In an embodiment, the processing engine (208) may include other units (220) that may be configured to implement functionalities that supplement actions performed by the one or more processors (202) of the one or more processing units (102). In an exemplary embodiment, such actions may include noise removal from the sensor information extracted from the one or more monitoring and assistive assemblies (108), converting analog sensor readings into computer readable digital form, determining location of the one or more public transport vehicles and interacting with the passengers (110).
[0063] In an embodiment, the one or more processors (202) may be configured to extract a ninth set of data packets received from the one or more monitoring and assistive assemblies (108), the ninth set of data packets pertaining to queries and inputs provided by the one or more passengers (110). The one or more processors (202) may be enabled to generate a tenth set of data packets in response to the ninth set of data packets and transmit the tenth set of data packets to the one or more monitoring and assistive assemblies (108). By way of example, the tenth set of data packets may include a list of nearby medical facilities along the way of commute of the one or more public transport vehicles. The list of nearby medical facilities may be configured to assist like but not limited to the potentially unhealthy passengers (110) upon occurrence of medical emergency.
[0064] FIG. 3 illustrates exemplary block diagram (300) of the proposed passenger health monitoring and assistive assembly to elaborate upon its working in accordance with an embodiment of the present disclosure.
[0065] In an embodiment, the one or more monitoring and assistive assemblies (108) may include one or more sensors (302) that may be configured to detect a set of attributes pertaining to identity and health status of a passenger (110). The one or more sensors (302) may also be enabled to detect location of the one or more public transport vehicles. By way of example, the one or more sensors (302) may include sensors like but not limited to camera, thermometer, weight scale, oxymeter, barometer, glucometer, fingerprint reader, iris scanner, voice scanner and global positioning sensor. The one or more sensors (302) may be assembled in individual macro packaging or as semiconductor sensing panel.
[0066] In an embodiment, the one or more monitoring and assistive assemblies (108) may include one or more actuators (304) configured to activate a set of sanitizer dispensers. The set of sanitizer dispensers may contain sanitizer in the form of liquid, emulsion and mist and of a predetermined concentration and consistency. The sanitizer may be sprayed onto the passenger (110) prior to allocating seat for a predetermined duration. Sanitizer may also pertain to ultraviolet radiation of predetermined intensity and duration that may be applied to the passengers (110) without causing any health hazards. The corresponding sanitizer dispenser may be enabled to include ultraviolet light sources. By way of example, the one or more actuators (304) may include any or a combination of dc motors, servo motors, stepper motors, linear actuators, spring triggered actuator, pneumatic actuator, hydraulic actuator and ultraviolet light generators and the likes.
[0067] In an embodiment, the one or more monitoring and assistive assemblies (108) may include one or more output units (306) that may be configured to transmit a set of instructions to the passenger (110), the set of instructions pertaining to allocated seat, disembarkation signals upon reaching destination, payment of conveyance charges and information of nearest medical facilities along a predetermined route of commute of the public transport vehicle. The one or more output units (306) may be configured to transmit information to the one or more passengers (110) through any or a combination of visual, audio and vibratory signals. By way of example, the one or more output units (306) may include any or a combination of light emitting diodes, liquid crystal display units, flashing and scrolling displays, buzzers, speakers, woofers, earphones, headphones, vibration motors and the likes.
[0068] In an embodiment, the one or more monitoring and assistive assemblies (108) may include one or more input units (308) that may be configured to receive queries and inputs from one or more passengers (110), the queries and inputs pertaining to navigation route, stoppages, duration of halt, procurement of tickets, and assistance request upon medical emergency. In an embodiment, the one or more input units (308) may be configured to receive inputs and queries from the one or more passengers (110) in the form of any or a combination of alphanumeric text, voice signals and tactile responses. By way of example the one or more input units (308) may include any or a combination of keyboards, keypads, touch pads, touch panels, touch sensitive keys, joystick, touchscreen, tact buttons, microphones and the likes.
[0069] FIG. 4 illustrates exemplary flow diagram (400) of the functional steps of proposed passenger health monitoring and assistive system in public transport, in accordance with an embodiment of the present disclosure.
[0070] In an embodiment, the functional steps of the proposed system (100) may include a step of (402) that may pertain to screening of health status of the one or more passengers (110) using one or more monitoring and assistive assemblies (108), the health status including any or a combination of body temperature, blood pressure, oxygen saturation and the likes. The one or more processing units (102) may be enabled to receive medical history of the one or more passengers (110) from the one or more servers (104), the medical history including any or a combination of vaccination history, certification of non-exposure to infectious diseases, quarantine history, ailments, surgeries, chronic diseases and the likes.
[0071] In an embodiment, the functional steps of the proposed system (100) may include a step of (404) that may pertain to reception of travel history of the one or more passengers (110) from the one or more servers (104). Based on the current health status and a set of threshold values for a predetermined set of health attributes, the medical history and the travel history of the one or more passengers (110) are updated by transmitting new or updated information to the one or more servers (104) through a communication network (not shown). The one or more processing units (102) may be enabled to determine optimal allocation of seats to the one or more passengers (110), the seats pertaining to isolated and group seating facilities and seat allocation pertaining to classification of the one or more passengers (110) into healthy and potentially unhealthy categories based on the current health status.
[0072] In an embodiment, the functional steps of the proposed system (100) may include a step of (406) that may enable machine learning engines of the one or more processors of the one or more processing units (102) to store the medical and travel details of the one or more passengers to cloud server and determine nearest medical facilities for the corresponding one or more passengers along the route of commute. The medical facilities and possible treatment options may be generated to provide medical assistance to the one or more passengers, the proposed medical facilities and treatment options being based on current health status and medical and travel history of the one or more passengers. By way of example, a potentially unhealthy passenger (110) having body temperature higher than the predefined threshold, and having travelled in infection-prone regions within a predefined duration before current travel and the passenger having a history of lung infection may be categorized as a high risk passenger and COVID treatment options at nearest health center may be offered to the concerned passenger.
[0073] In an embodiment, the functional steps of the proposed system (100) may include a step of (408) that may enable the one or more processors of the one or more processing units (102) to transmit the set of instructions pertaining to medical assistance to the one or more passengers in response to inputs or queries received from the one or more passengers, the reception of inputs and transmission of the set of instructions being performed by the one or more monitoring and assistive assemblies (108).
[0074] As used herein, and unless the context dictates otherwise, the term "coupled to" is intended to include both direct coupling (in which two elements that are coupled to each other contact each other) and indirect coupling (in which at least one additional element is located between the two elements). Therefore, the terms "coupled to" and "coupled with" are used synonymously. Within the context of this document terms "coupled to" and "coupled with" are also used euphemistically to mean “communicatively coupled with” over a network, where two or more devices are able to exchange data with each other over the network, possibly via one or more intermediary device.
[0075] The terms, descriptions and figures used herein are set forth by way of illustration only. Many variations are possible within the spirit and scope of the subject matter, which is intended to be defined by the following claims and their equivalents in which all terms are meant in their broadest reasonable sense unless otherwise indicated.
[0076] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.
ADVANTAGES OF THE INVENTION
[0077] The present disclosure provides for a passenger health monitoring and assistive system that facilitates resource optimization in public transport and maintains physical distancing.
[0078] The present disclosure provides for a passenger health monitoring and assistive system in public transport that enables in detecting identity and health status of one or more passengers.
[0079] The present disclosure provides for a passenger health monitoring and assistive system in public transport that enables in updating medical and travel histories of the one or more passengers, the medical and travel histories being stored in one or more servers.
[0080] The present disclosure provides for a passenger health monitoring and assistive system in public transport that enables in comparing the health status of the one or more passengers with a set of threshold values, the set of threshold values being stored in the one or more servers.
[0081] The present disclosure provides for a passenger health monitoring and assistive system in public transport that assigns the one or more passengers into healthy and potentially unhealthy categories based on the medical and travel histories and current health status.
[0082] The present disclosure provides for a passenger health monitoring and assistive system in public transport that enables in determining optimal allocation of seats to the one or more passengers, the allocated seats pertaining to isolated and group seating facilities based on the assigned categories.
[0083] The present disclosure provides for a passenger health monitoring and assistive system in public transport that enables in sanitizing the one or more passengers prior to seat allocation.
[0084] The present disclosure provides for a passenger health monitoring and assistive system in public transport that enables in receiving inputs and queries from the one or more passengers.
[0085] The present disclosure provides for a passenger health monitoring and assistive system in public transport that enables in transmitting instructions to the one or more passengers in response to inputs and queries.
[0086] The present disclosure provides for a passenger health monitoring and assistive system in public transport that enables in determining nearest medical facilities along the route of commute for assisting the one or more passengers upon occurrence of medical emergency.

We Claims:

1. A passenger health monitoring and assistive system (100) for facilitating optimization of resources for travel by public transport and maintaining physical distancing, the system comprising :
one or more monitoring and assistive assemblies (108) associated with one or more public transport vehicles, the one or more monitoring and assistive assemblies comprising:
one or more sensors (302) configured to detect a set of attributes pertaining to identity and health status of a passenger travelling in a public transport vehicle;
one or more actuators (304) configured to activate a set of sanitizer dispensers, wherein the set of sanitizer dispensers contain sanitizer in the form of liquid, emulsion and mist, wherein the sanitizer is sprayed onto said passenger prior to allocating seat in a public transport vehicle;
one or more output units (306) configured to transmit a set of instructions to the passenger, the set of instructions pertaining to allocated seat, disembarkation signal upon reaching destination, payment of conveyance charges and information of nearest medical facilities along a predetermined route of travel of the public transport vehicle;
one or more input units (308) configured to receive queries and inputs from one or more passengers, the queries and inputs pertaining to navigation route, stoppages, duration of halt, procurement of tickets, and assistance request upon medical emergency;
one or more processing units (102), communicatively coupled to the one or more monitoring and assistive assemblies (108) and one or more servers (104) through a communication network (106), wherein the one or more processing units (102) comprise one or more processors (202) associated with a memory (204), the memory storing instructions executable by the one or more processors (202) and configured to:
extract, a first set of data packets pertaining to identity of the passenger from the information received from the one or more sensors (302);
compare, the first set of data packets with a second set of data packets and correspondingly generate a set of verification signals, wherein the second set of data packets are received from one or more servers (104), wherein the second set of data packets pertain to predefined and preregistered anatomical scans and numbers corresponding to a set of unique identification features of the one or more passengers;
extract, a third set data packets pertaining to health status of the passenger, wherein the health status pertain to a predefined set of health attributes including any or a combination of body temperature, blood pressure, oxygen saturation, body weight and identifiable symptoms, wherein the health status are received from the one or more sensors (302);
compare, the third set of data packets with a fourth set of data packets and correspondingly generate a set of validation signals, wherein the fourth set of data packets are received from the one or more servers (104), wherein the fourth set of data packets pertain to a record of medical history and a record of travel history of the one or more passengers, wherein the travel history and the medical history correspond to a predefined duration preceding the current date of travel;
compare, the third set of data packets with a fifth set of data packets and correspondingly generate a sixth set of data packets, wherein the fifth set of data packets are received from the one or more servers (104), wherein the fifth set of data packets pertain to threshold values of the predefined set of health attributes, wherein the threshold values of the set of health attributes are based on factors related to any or a combination of age, gender and validation signals corresponding to the one or more passengers (110);
transmit the set of verification and the set of validation signals to the one or more servers (104), wherein the set of verification and the set of validation signals are configured to create new records or update existing records of travel and medical history of the one or more passengers;
generate a seventh set of data packets and transmit the seventh set of data packets to the one or more actuators (304), wherein the seventh set of data packets pertain to a set of actuation signals for the one or more actuators (304), wherein the set of actuation signals are configured to operate for a predetermined time duration;
generate, an eighth set of data packets based on the set of verification and the set of validation signals and the sixth set of data packets, wherein the eighth set of data packets pertain to optimized allocation of seats of the one or more public transport vehicles to the one or more passengers;
extract a ninth set of data packets received from the one or more input units (308), wherein the ninth set of data packets pertain to queries and inputs provided by the one or more passengers ;
generate a tenth set of data packets in response to the ninth set of data packets and transmit the tenth set of data packets to the one or more output units (306).
2. The system (100) as claimed in claim 1, wherein the one or more sensors are configured to determine any or a combination of facial features, fingerprint, location and the set of health attributes, wherein facial features and fingerprint pertain to recognition of the one or more passengers, the set of health attributes pertain to determination of health status of the one or more passengers and location of one or more public transport vehicles pertain to determination of nearest medical facility for assisting the one or more passengers upon medical emergency, wherein the one or more passengers are enabled to commute using the one or more public transport vehicles.
3. The system (100) as claimed in claim 1, wherein the one or more output units (306) are configured to transmit information to the one or more passengers, wherein the transmitted information pertains to any or a combination of visual, audio and vibratory signals.
4. The system (100) as claimed in claim 1, wherein the one or more input units (308) are configured to receive inputs and queries from the one or more passengers, wherein the inputs and queries pertain to any or a combination of alphanumeric text, voice signals and tactile responses.
5. The system (100) as claimed in claim 1, wherein the one or more servers are configured to store records of medical and travel history of the one or more passengers, wherein medical history pertains to any or a combination of records of ailments, surgeries, chronic diseases, recent infections, quarantine history, vaccination history, certification of non-carrier of infectious diseases and wherein travel history pertains to any or a combination of recent travel routes, record of inter-state, intra-state and international travel, frequency of travel and dates of travel.
6. The system (100) as claimed in claim 1, wherein the sixth set of data packets pertain to categorization of the one or more passengers into any one of healthy and potentially unhealthy categories, wherein the one or more potentially unhealthy passengers are associated with one or more levels of warning indicators, the number of passengers corresponding to the one or more levels of warning indicators being used to optimize seat allocation in the public transport vehicle.
7. The system (100) as claimed in claim 1, wherein the eighth set of data packets are transmitted by the one or more processors (202) to the one or more output units (306), wherein each allocated seat corresponds to any one of isolated and group seating facilities, wherein group seating facilities are allocated to one or more healthy passengers and wherein isolated seating facilities are allocated to one or more potentially unhealthy passengers, wherein optimized allocation of seats to the one or more passengers facilitates maximum utilization of resources and minimization of travel charges.
8. The system (100) as claimed in claim 1, wherein the one or more monitoring and assistive assemblies (108) and the one or more processing units (102) are operatively coupled to one or more power sources, wherein the one or more power sources pertain to any or a combination of batteries, inverters and power lines, wherein the one or more power sources are configured to deliver electric power to the one or more monitoring and assistive assemblies (108) and the one or more processing units (102), wherein the electric power includes any or a combination of direct current, alternating current, solar current, bio-gas current and wind current.