Claims:1)Temperature Sensor: A method comprising the temperature sensor (MLX90614) acts as an infrared non-contact temperature reader that reads the temperature without contacting them. MLX90614 temperature sensor. Both the Signal ASSP and the IR Sentiment Detector Chip are in the same TO-39(is a type of 'metal can' (also known as 'metal header') package for semiconductor devices.).

2)Face mask detection: A method comprising a deep learning algorithm is used to identify face mask recognition and, Convolution Neural Networks (CNN) classification. A CNN is a form of artificial neural network that is specifically built to interpret pixel input and is mainly used for image recognition and analysis, in which each layer applies to a different set of filters by using Keras and TensorFlow. The steps involved in the algorithm is given below:
STEP 1: DATASET COLLECTION
STEP 2: PRE-PROCESSING
STEP 3: SPLITTING
STEP 4: TRAINING
STEP 5: TESTING/EVALUATION
According to the above-mentioned algorithm, all the required dataset and components for building the network is collected from various categories. Once the initial dataset is ready, the next step is to train and test the set. This test dataset is used only in evaluating the performance of the network.
3)Automatic hand sanitizer spray: A method comprising ,the working principle of the automatic sanitizer dispenser is to actuate the servo to press the sanitizer tap whenever the sensor observes a low distance reading due to an obstruction in its line-of-sight. When a person’s hand comes below the sanitizer and obstructs the sensor line-of-sight, the Arduino board receives a low distance reading and instructs the servo motor to actuate and dispense the sanitizer.
, Description:CORONA virus has affected millions of people worldwide.in this period maintaining social distancing norms between humans has become an indispensable precaution ,to slow down the transmission of SARS COVID-19 ,I present a novel method to automatically detect pairs of humans in a queue who are not adhering to the social distance constraint i.e about 6 feet of space between them .Currently there is no option to place one person in each row 24/7 to monitor social distancing violations, in order to monitor the distance between two people ,we are presenting an IOT based social distancing and monitoring robot for queues and in addition to this ,the robot consists of 4-wheel design system used to drive the robotic vehicle. This robot uses IR sensing to travel along with the queue in order to detect violations by humans .It makes use of line following principle to constantly move along the queue and monitors social distancing violations and while the robot is monitoring the queue ,we have included features such that it also monitors whether people are wearing face mask ,furthermore it also monitors the temperature of each and every individual in the queue and also captures images of people who are not adhering to social distance constraints and it sends the captured images along with covid and vaccination history of the people who do not maintain social distance between them and alerts the head office/higher authorities with a camera picture using WiFi over IOT.