AU2021101720A4 - Iot based covid detection system and method thereof - Google Patents
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- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
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- G06V40/168—Feature extraction; Face representation
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Abstract
A system for IOT based covid detection, the system comprises of: an
infrared temperature sensor for monitoring a temperature of a user
from a certain distance, a plurality of camera for capturing a face
image of the user at regular interval of time in order to identify a mask
on the face of the user, wherein an image processing module for
detecting the mask on the face of the user using a neural network, a
controlling module for comparing a real-time temperature and distance
obtained from the sensor with a threshold value, and generate a
plurality of command signal when the temperature and distance
exceeds a threshold value and the user is without mask, a drone laser
module for focusing a laser beam on the user detected without a
mask, and a communication module for transmitting a plurality of
information to a nearby hospital.
25
CAMERA ~~IMAGEDRNLAE
PROCESSING DRONELASER
MODULEMODULE
CINFRRARED
TEMPERATURE CONTROLLING
SENSOR MOUE ALERT MODULE
DISTANCE
SENSOR
MESSAGING
MODULE
GLOBAL COMMUNICATION
POITOIGMODULE HOSPITAL AND
MODULECONCERNED
PERSON
FIGURE 3
Description
CAMERA ~~IMAGEDRNLAE PROCESSING DRONELASER MODULEMODULE CINFRRARED TEMPERATURE CONTROLLING SENSOR MOUE ALERT MODULE
FIGURE 3
The present invention generally relates to a field of internet of things. More particularly, the present invention relates to a disease detection system using internet of things.
During the COVID pandemic, the virus is spreading at a greater speed and affecting the lives of many individuals. A person is infected with the virus at an increasing rate as the virus is spreading at a greater speed and is infecting a group of people coming in contact with the infected person. The person infected with the virus is noticed to have an increasing temperature and other symptoms such as cough and the like. The infected person is likely to affect other people by touch.
To check the spread of disease thermal screening is carried out in different places to detect the infected person. The person having an increasing temperature in asked for isolating and testing for the symptoms.
In crowded places people are not maintaining distance that is recommended for checking the spread of disease. Since people are coming in contact with each other there is a need to alert the user regarding social distancing.
In many places people are seen without mask and thus inhale the virus present in the air. So, the mask is vital for people moving in crowded places. Some people despite of having symptoms are randomly moving, coming in contact with the disease and thus spreading diseases.
Existing technologies measure the temperature of the person and manually detect whether a person is wearing mask and maintaining social distancing. This requires a lot of labor and is not efficient all the time at all places.
Therefore, there is a need to develop a system that measures the temperature of the person from a certain distance and detect the movement of the person with and without mask and simultaneously alerts the person to maintain social distance.
The technical advancements disclosed by the present invention overcomes the limitations and disadvantages of existing and convention systems and methods.
The present invention generally relates to a IOT based covid detection system.
An object of the present invention is to provide a system that measures the temperature of a user from a certain distance.
Another object of the present invention is to provide a system that identifies a user without a mask.
Another object of the present invention is to provide a system for alerting the user to maintain social distancing.
According to an embodiment of the present invention, the system comprises of a plurality of camera, an infrared temperature sensor, a controlling module, a drone laser module, a communication module, an image processing module, an alert module, a distance sensor, and a messaging module.
The infrared temperature sensor mounted at an entrance for monitoring a temperature of a user from a certain distance. The temperature sensor is an electronic device that measures the temperature of its environment and converts the input data into electronic data to record, monitor, or signal temperature changes.
The infrared temperature sensor measure temperature by detecting infrared energy from a human body and works on one or more photodetectors. The infrared temperature sensor comprises of lens that focus the infrared energy on to a detector and that energy further converts into electrical signal which display in units.
The plurality of camera is installed at the entrance and the premises for capturing a face image of the user at regular interval of time in order to identify a mask on the face of the user, wherein the image processing module is connected to the plurality of camera for detecting the mask on the face of the user using a neural network.
The image processing module is connected to the camera for detecting the user without a mask, wherein the image processing module comprises of:
a pre-processing module connected to the camera for enhancing quality of the image captured;
an image segmentation module connected to the pre-processing module for dividing the pre-processed image into a plurality of segments of a defined time interval, wherein the each of the plurality of segments is analyzed; a feature extraction module connected to the image segmentation module for extracting a plurality of facial features from the segmented image;and a classification module connected to the feature extraction module for classifying the plurality of facial features into a plurality of classes using a neural network in order to identify a mask on the face of the user. The neural network used herein is preferably a convolutional neural network.
The controlling module connected to the image processing module and the infrared temperature sensor for comparing a real-time temperature obtained from the sensor with a threshold value, wherein a first command signal is generated when the real-time temperature exceeds the threshold value and a second command signal is generated when the mask is not present on the face of the user.
The controlling module used herein is either a raspberry pi, an Arduino uno, a NODMCU and other such known in the art.
The threshold value of temperature ranges 97 Fahrenheit to 99 Fahrenheit.
The drone laser module is connected to the controlling module for focusing a laser beam on the user detected without a mask and having a temperature greater than the threshold value, wherein the laser beam is focused on the user upon receiving the first and the second command signal from the controlling module.
The communication module is connected to the controlling module for transmitting a plurality of information such as the image of the user along with the temperature reading received from the camera and the infrared temperature sensor to a nearby hospital, wherein the plurality of information is sent to the nearby hospital upon receiving the first signal from the controlling module.
The communication module used herein is either a wired or a wireless medium that exchanges information between the controlling module and the nearest hospital. The communication module comprises of a receiver and a transmitter for transmitting and receiving information to and from a device.
The communication module is selected from Bluetooth, ZIGBEE, Wi-Fi and other such known in the art.
The messaging module is connected to the communication module for sending the plurality of information along with a location of the user to a concerned person and the nearby hospital, wherein the messaging module sends the plurality of information and the location of the user having the temperature higher than the threshold value.
The messaging module used herein is a GSM module (Global System for Mobile Communications) that makes use of narrowband Time Division Multiple Access (TDMA) technique for transmitting signals.
The location of the user is detected using a global positioning module (GPS) present on a user device and embedded at the entrance and the premise to trace a real-time moment of the user, wherein the real time location is sent to the nearby hospital through the messaging module for isolating the user for further diagnosis.
The GPS is a global navigation satellite module that provides location, velocity and time synchronization data of a particular user that helps in tracing the moment of the user in real-time.
The plurality of distance sensor is positioned at the entrance and at the premises for detecting a distance between at least two consecutive users, wherein the controlling module is connected to the distance sensor for generating a third command signal when the distance between two consecutive user exceeds a threshold value, wherein a voice command is generated by the alert unit upon receiving the third command signal.
The threshold value of distance between two consecutive user ranges from 5.5 feet to 6.5 feet.
The alert module is connected to the controlling module for generating an alert signal upon detection of the user without a mask, wherein the alert signal is generated upon receiving the second command signal from the controlling module. The alert module comprises of either a voice module or a LED module for generating either a voice command or a light signal to notify the user for wearing the mask.
According to an embodiment, the first Step depicts about monitoring a temperature of a user from a certain distance using an infrared temperature sensor mounted at an entrance.
The second Step depicts about capturing a face image of the user at regular interval of time in order to identify a mask on the face of the user using a plurality of camera installed at the entrance and the premises, wherein an image processing module is connected to the plurality of camera for detecting the mask on the face of the user using a neural network.
The third Step depicts about comparing a real-time temperature obtained from the sensor with a threshold value using a controlling module connected to the image processing module and the infrared temperature sensor, wherein a first command signal is generated when the real-time temperature exceeds the threshold value and a second command signal is generated when the mask is not present on the face of the user.
The fourth Step depicts about focusing a laser beam on the user detected without a mask and having a temperature greater than the threshold value using a drone laser module connected to the controlling module, wherein the laser beam is focused on the user upon receiving the first and the second command signal from the controlling module.
The fifth Step depicts about transmitting a plurality of information such as the image of the user along with the temperature reading received from the camera and the infrared temperature sensor to a nearby hospital a communication module, wherein the plurality of information is sent to the nearby hospital upon receiving the first signal from the controlling module.
According to an embodiment, the system comprises of an infrared temperature sensor mounted at an entrance for monitoring a temperature of a user from a certain distance. The plurality of camera is installed at the entrance and the premises for capturing a face image of the user at regular interval of time in order to identify a mask on the face of the user, wherein an image processing module is connected to the plurality of camera for detecting the mask on the face of the user using a neural network.
The controlling module is connected to the image processing module, the plurality of distance sensor and the infrared temperature sensor, wherein a first command signal is generated when the real-time temperature exceeds the threshold value, a second command signal is generated when the mask is not present on the face of the user and a third command signal when the distance between two consecutive user exceeds a threshold value.
The drone laser module is connected to the controlling module for focusing a laser beam on the user detected without a mask and having a temperature greater than the threshold value, wherein the laser beam is focused on the user upon receiving the first and the second command signal from the controlling module.
The communication module is connected to the controlling module for transmitting a plurality of information such as the image of the user along with the temperature reading received from the camera and the infrared temperature sensor to a nearby hospital, wherein the plurality of information is sent to the nearby hospital upon receiving the first signal from the controlling module.
The alert module is connected to the controlling module for generating an alert signal upon detection of the user without a mask, wherein the alert signal is generated upon receiving the second command signal from the controlling module, wherein a voice command is generated by the alert unit upon receiving the third command signal.
The messaging module is connected to the communication module for sending the plurality of information along with a location of the user to a concerned person and the nearby hospital, wherein the messaging module sends the plurality of information and the location of the user having the temperature higher than the threshold value. The location of the user is detected using a global positioning module present on a user device and embedded at the entrance and the premise to trace a real-time moment of the user, wherein the real time location is sent to the nearby hospital through the messaging module for isolating the user for further diagnosis.
The plurality of distance sensor is positioned at the entrance and at the premises for detecting a distance between at least two consecutive users.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
These and other features, aspects, and advantages of the present invention will become better understood when the following detailed description is read with reference to the accompanying drawings in which like characters represent like parts throughout the drawings, wherein:
Figure 1 illustrates a block diagram of the different modules used in the system.
Figure 2 illustrates a flow diagram of the method used in the system.
Figure 3 illustrates a block diagram of the working of the system.
Further, skilled artisans will appreciate that elements in the drawings are illustrated for simplicity and may not have been necessarily been drawn to scale. For example, the flow charts illustrate the method in terms of the most prominent steps involved to help to improve understanding of aspects of the present invention. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the drawings by conventional symbols, and the drawings may show only those specific details that are pertinent to understanding the embodiments of the present invention so as not to obscure the drawings with details that will be readily apparent to those of ordinary skill in the art having benefit of the description herein.
For the purpose of promoting an understanding of the principles of the invention, reference will now be made to the embodiment illustrated in the drawings and specific language will be used to describe the same. It will nevertheless be understood that no limitation of the scope of the invention is thereby intended, such alterations and further modifications in the illustrated system, and such further applications of the principles of the invention as illustrated therein being contemplated as would normally occur to one skilled in the art to which the invention relates.
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 invention and are not intended to be restrictive thereof.
Reference throughout this specification to "an aspect", "another aspect" or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, appearances of the phrase "in an embodiment", "in another embodiment" and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.
The terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such process or method. Similarly, one or more devices or sub-systems or elements or structures or components proceeded by "comprises...a" does not, without more constraints, preclude the existence of other devices or other sub-systems or other elements or other structures or other components or additional devices or additional sub-systems or additional elements or additional structures or additional components.
Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The system, methods, and examples provided herein are illustrative only and not intended to be limiting.
Embodiments of the present invention will be described below in detail with reference to the accompanying drawings.
Figure 1 illustrates a block diagram of the different modules used in the system. The system comprises of a plurality of camera 102, an infrared temperature sensor 104, a controlling module 106, a drone laser module 108, a communication module 110, an image processing module 112, an alert module 114, a distance sensor 116, and a messaging module 118.
The infrared temperature sensor 104 mounted at an entrance for monitoring a temperature of a user from a certain distance. The temperature sensor 104 is an electronic device that measures the temperature of its environment and converts the input data into electronic data to record, monitor, or signal temperature changes.
The infrared temperature sensor 104 measure temperature by detecting infrared energy from a human body and works on one or more photodetectors. The infrared temperature sensor 104 comprises of lens that focus the infrared energy on to a detector and that energy further converts into electrical signal which display in units.
The plurality of camera 102 is installed at the entrance and the premises for capturing a face image of the user at regular interval of time in order to identify a mask on the face of the user, wherein the image processing module 112 is connected to the plurality of camera 102 for detecting the mask on the face of the user using a neural network.
The image processing module 112 is connected to the camera 102 for detecting the user without a mask, wherein the image processing module 112 comprises of:
a pre-processing module connected to the camera 102 for enhancing quality of the image captured;
an image segmentation module connected to the pre-processing module for dividing the pre-processed image into a plurality of segments of a defined time interval, wherein the each of the plurality of segments is analyzed; a feature extraction module connected to the image segmentation module for extracting a plurality of facial features from the segmented image;and a classification module connected to the feature extraction module for classifying the plurality of facial features into a plurality of classes using a neural network in order to identify a mask on the face of the user.
The neural network used herein is preferably a convolutional neural network.
The controlling module 106 connected to the image processing module 112 and the infrared temperature sensor 104 for comparing a real time temperature obtained from the sensor with a threshold value, wherein a first command signal is generated when the real-time temperature exceeds the threshold value and a second command signal is generated when the mask is not present on the face of the user.
The controlling module 106 used herein is either a raspberry pi, an Arduino uno, a NODMCU and other such known in the art.
The threshold value of temperature ranges 97 Fahrenheit to 99 Fahrenheit.
The drone laser module 108 is connected to the controlling module 106 for focusing a laser beam on the user detected without a mask and having a temperature greater than the threshold value, wherein the laser beam is focused on the user upon receiving the first and the second command signal from the controlling module 106.
The communication module 110 is connected to the controlling module 106 for transmitting a plurality of information such as the image of the user along with the temperature reading received from the camera 102 and the infrared temperature sensor 104 to a nearby hospital, wherein the plurality of information is sent to the nearby hospital upon receiving the first signal from the controlling module 106.
The communication module 110 used herein is either a wired or a wireless medium that exchanges information between the controlling module 106 and the nearest hospital. The communication module 110 comprises of a receiver and a transmitter for transmitting and receiving information to and from a device.
The communication module 110 is selected from Bluetooth, ZIGBEE, Wi-Fi and other such known in the art.
The messaging module 118 is connected to the communication module 110 for sending the plurality of information along with a location of the user to a concerned person and the nearby hospital, wherein the messaging module 118 sends the plurality of information and the location of the user having the temperature higher than the threshold value.
The messaging module 118 used herein is a GSM module (Global System for Mobile Communications) that makes use of narrowband Time Division Multiple Access (TDMA) technique for transmitting signals.
The location of the user is detected using a global positioning module (GPS) present on a user device and embedded at the entrance and the premise to trace a real-time moment of the user, wherein the real time location is sent to the nearby hospital through the messaging module 118 for isolating the user for further diagnosis.
The GPS is a global navigation satellite module that provides location, velocity and time synchronization data of a particular user that helps in tracing the moment of the user in real-time.
The plurality of distance sensor 116 is positioned at the entrance and at the premises for detecting a distance between at least two consecutive users, wherein the controlling module 106 is connected to the distance sensor 116 for generating a third command signal when the distance between two consecutive user exceeds a threshold value, wherein a voice command is generated by the alert unit upon receiving the third command signal.
The threshold value of distance between two consecutive user ranges from 5.5 feet to 6.5 feet.
The alert module 114 is connected to the controlling module 106 for generating an alert signal upon detection of the user without a mask, wherein the alert signal is generated upon receiving the second command signal from the controlling module 106. The alert module 114 comprises of either a voice module or a LED module for generating either a voice command or a light signal to notify the user for wearing the mask.
Figure 2 illustrates a flow diagram of the method used in the system.
Step 202 depicts about monitoring a temperature of a user from a certain distance using an infrared temperature sensor 104 mounted at an entrance.
Step 204 depicts about capturing a face image of the user at regular interval of time in order to identify a mask on the face of the user using a plurality of camera 102 installed at the entrance and the premises, wherein an image processing module 112 is connected to the plurality of camera 102 for detecting the mask on the face of the user using a neural network.
Step 206 depicts about comparing a real-time temperature obtained from the sensor with a threshold value using a controlling module 106 connected to the image processing module 112 and the infrared temperature sensor 104, wherein a first command signal is generated when the real-time temperature exceeds the threshold value and a second command signal is generated when the mask is not present on the face of the user.
Step 208 depicts about focusing a laser beam on the user detected without a mask and having a temperature greater than the threshold value using a drone laser module 108 connected to the controlling module 106, wherein the laser beam is focused on the user upon receiving the first and the second command signal from the controlling module 106.
Step 210 depicts about transmitting a plurality of information such as the image of the user along with the temperature reading received from the camera 102 and the infrared temperature sensor 104 to a nearby hospital a communication module 110, wherein the plurality of information is sent to the nearby hospital upon receiving the first signal from the controlling module 106.
Figure 3 illustrates a block diagram of the working of the system.
The system comprises of an infrared temperature sensor 104 mounted at an entrance for monitoring a temperature of a user from a certain distance. The plurality of camera 102 is installed at the entrance and the premises for capturing a face image of the user at regular interval of time in order to identify a mask on the face of the user, wherein an image processing module 112 is connected to the plurality of camera 102 for detecting the mask on the face of the user using a neural network.
The controlling module 106 is connected to the image processing module 112, the plurality of distance sensor 116 and the infrared temperature sensor 104, wherein a first command signal is generated when the real-time temperature exceeds the threshold value, a second command signal is generated when the mask is not present on the face of the user and a third command signal when the distance between two consecutive user exceeds a threshold value.
The drone laser module 108 is connected to the controlling module 106 for focusing a laser beam on the user detected without a mask and having a temperature greater than the threshold value, wherein the laser beam is focused on the user upon receiving the first and the second command signal from the controlling module 106.
The communication module 110 is connected to the controlling module 106 for transmitting a plurality of information such as the image of the user along with the temperature reading received from the camera 102 and the infrared temperature sensor 104 to a nearby hospital, wherein the plurality of information is sent to the nearby hospital upon receiving the first signal from the controlling module 106.
The alert module 114 is connected to the controlling module 106 for generating an alert signal upon detection of the user without a mask, wherein the alert signal is generated upon receiving the second command signal from the controlling module 106, wherein a voice command is generated by the alert unit upon receiving the third command signal.
The messaging module 118 is connected to the communication module 110 for sending the plurality of information along with a location of the user to a concerned person and the nearby hospital, wherein the messaging module 118 sends the plurality of information and the location of the user having the temperature higher than the threshold value. The location of the user is detected using a global positioning module present on a user device and embedded at the entrance and the premise to trace a real-time moment of the user, wherein the real time location is sent to the nearby hospital through the messaging module 118 for isolating the user for further diagnosis.
The plurality of distance sensor 116 is positioned at the entrance and at the premises for detecting a distance between at least two consecutive users.
The drawings and the forgoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, orders 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 necessarily need to be 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. Numerous variations, whether explicitly given in the specification or not, such as differences in structure, dimension, and use of material, are possible. The scope of embodiments is at least as broad as given by the following claims.
Benefits, other advantages, and solutions to problems have been described above with regard to specific embodiments. However, the benefits, advantages, solutions to problems, and any component(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as a critical, required, or essential feature or component of any or all the claims.
Claims (10)
1. A system for IOT based covid detection, the system comprises of: an infrared temperature sensor mounted at an entrance for monitoring a temperature of a user from a certain distance;
a plurality of camera installed at the entrance and the premises for capturing a face image of the user at regular interval of time in order to identify a mask on the face of the user, wherein an image processing module is connected to the plurality of camera for detecting the mask on the face of the user using a neural network;
a controlling module connected to the image processing module and the infrared temperature sensor for comparing a real-time temperature obtained from the sensor with a threshold value, wherein a first command signal is generated when the real-time temperature exceeds the threshold value and a second command signal is generated when the mask is not present on the face of the user; a drone laser module connected to the controlling module for focusing a laser beam on the user detected without a mask and having a temperature greater than the threshold value, wherein the laser beam is focused on the user upon receiving the first and the second command signal from the controlling module; and
a communication module connected to the controlling module for transmitting a plurality of information such as the image of the user along with the temperature reading received from the camera and the infrared temperature sensor to a nearby hospital, wherein the plurality of information is sent to the nearby hospital upon receiving the first signal from the controlling module.
2. The system as claimed in claim 1, wherein the image processing module connected to the camera for detecting the user without a mask, wherein the image processing module comprises of: a pre-processing module connected to the camera for enhancing quality of the image captured; an image segmentation module connected to the pre-processing module for dividing the pre-processed image into a plurality of segments of a defined time interval, wherein the each of the plurality of segments is analyzed; a feature extraction module connected to the image segmentation module for extracting a plurality of facial features from the segmented image; and a classification module connected to the feature extraction module for classifying the plurality of facial features into a plurality of classes using a neural network in order to identify a mask on the face of the user.
3. The system as claimed in claim 1, wherein an alert module is connected to the controlling module for generating an alert signal upon detection of the user without a mask, wherein the alert signal is generated upon receiving the second command signal from the controlling module.
4. The system as claimed in claim 3, wherein the alert module comprises of either a voice module or a LED module for generating either a voice command or a light signal to notify the user for wearing the mask.
5. The system as claimed in claim 1, wherein a messaging module is connected to the communication module for sending the plurality of information along with a location of the user to a concerned person and the nearby hospital, wherein the messaging module sends the plurality of information and the location of the user having the temperature higher than the threshold value.
6. The system as claimed in claim 5, wherein the location of the user is detected using a global positioning module present on a user device and embedded at the entrance and the premise to trace a real-time moment of the user, wherein the real time location is sent to the nearby hospital through the messaging module for isolating the user for further diagnosis.
7. The system as claimed in claim 1, wherein a plurality of distance sensor is positioned at the entrance and at the premises for detecting a distance between at least two consecutive users.
8. The system as claimed in claim 7, wherein the controlling module is connected to the distance sensor for generating a third command signal when the distance between two consecutive user exceeds a threshold value, wherein a voice command is generated by the alert unit upon receiving the third command signal.
9. The system as claim in claim 1 and 8, the threshold value of temperature ranges 97 Fahrenheit to 99 Fahrenheit and the threshold value of distance between two consecutive user ranges from 5.5 feet to 6.5 feet.
10. A method for IOT based covid detection, the method comprises of: monitoring a temperature of a user from a certain distance using an infrared temperature sensor mounted at an entrance;
capturing a face image of the user at regular interval of time in order to identify a mask on the face of the user using a plurality of camera installed at the entrance and the premises, wherein an image processing module is connected to the plurality of camera for detecting the mask on the face of the user using a neural network;
comparing a real-time temperature obtained from the sensor with a threshold value using a controlling module connected to the image processing module and the infrared temperature sensor, wherein a first command signal is generated when the real-time temperature exceeds the threshold value and a second command signal is generated when the mask is not present on the face of the user; focusing a laser beam on the user detected without a mask and having a temperature greater than the threshold value using a drone laser module connected to the controlling module, wherein the laser beam is focused on the user upon receiving the first and the second command signal from the controlling module; and
transmitting a plurality of information such as the image of the user along with the temperature reading received from the camera and the infrared temperature sensor to a nearby hospital a communication module, wherein the plurality of information is sent to the nearby hospital upon receiving the first signal from the controlling module.
FIGURE 2 FIGURE 1
FIGURE 3
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| AU2021101720A AU2021101720A4 (en) | 2021-04-04 | 2021-04-04 | Iot based covid detection system and method thereof |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE202022100219U1 (en) | 2022-01-16 | 2022-01-24 | Ravinarayana Baje | Intelligent system for non-contact screening to measure the Covid-19 sign using thermal imaging techniques and artificial intelligence |
| DE202022101331U1 (en) | 2022-03-10 | 2022-05-05 | Kailas Aute | Wearable Omicron symptom detection device based on biomedical and proximity sensors and artificial intelligence |
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2021
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE202022100219U1 (en) | 2022-01-16 | 2022-01-24 | Ravinarayana Baje | Intelligent system for non-contact screening to measure the Covid-19 sign using thermal imaging techniques and artificial intelligence |
| DE202022101331U1 (en) | 2022-03-10 | 2022-05-05 | Kailas Aute | Wearable Omicron symptom detection device based on biomedical and proximity sensors and artificial intelligence |
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