1. The document describes an IoT-based system using Raspberry Pi and Arduino to monitor body temperature in a contactless way and send email alerts if the temperature exceeds a threshold. 2. An IR temperature sensor is used to measure body temperature without contact, and an image of the person is captured using a Pi camera. 3. If the temperature is above 103°F, the person's image and temperature reading will be emailed to authorized departments and displayed on an LCD screen. This helps monitor for COVID-19 symptoms.

1. IoT Based Contactless Body Temperature Monitoring using Raspberry Pi, Arduino with camera and Email Alert
DEPT OF ELECTRONICS AND COMMUNICATION ENGINEERING, AGMRCET, VARUR.1
SYNOPSIS
INTRODUCTION
Since the corona outbreak, it has become very difficult to identify those who are
affected by the virus or not. To solve this issue, temperature devices are often used to
measure body temperature. These devices have non-contact IR temperature sensors which
can measure the body temperature without any physical contact.
There are many temperature guns available in the market, but none of them gives
any alert or email notification to higher authorities to take appropriate actions when the
temperature exceeds a particular limit. In this project, we will interface an IR temperature
sensor and send the email alerts with the image of the person if the temperature of any
particular person exceeds the set value in today’s world, the Internet of Things is
revolutionizing our life by developing a number of systems which can be monitored and
controlled remotely. In this project, we will leverage the power of IoT and we will build
a Temperature Monitoring device with Email alerts using Raspberry Pi, MLX90614, and
Pi Camera.
Many investigations are going on in monitoring, contact tracing, predicting and
diagnosing the COVID-19 disease and many virologists are urgently seeking to create a
vaccine as early as possible. Even though there is no specific treatment for the pandemic
disease, the world is now struggling to control the spread by implementing the lockdown
worldwide and giving awareness to the people to wear masks and use sanitizers. The new
technologies, including the Internet of things (IoT), are gaining global attention towards
the increasing technical support in health-care systems, particularly in predicting,
detecting, preventing and monitoring of most of the infectious diseases. Similarly, it also
helps in fighting against COVID-19 by monitoring, contract tracing and detecting the
COVID-19 pandemic by connection with the IoT-based smart solutions. IoT is the
interconnected Web of smart devices, sensors, actuators and data, which are collected in
the raw form and transmitted through the internet. The purpose of this paper is to propose
the concept to detect and monitor the asymptotic patients using IoT-based sensors.
Keywords: Raspberry-Pi, Key pad, Pi camera, Arduino

2. IoT Based Contactless Body Temperature Monitoring using Raspberry Pi, Arduino with camera and Email Alert
DEPT OF ELECTRONICS AND COMMUNICATION ENGINEERING, AGMRCET, VARUR.2
LITERATURE SURVEY
As the pandemic situation continues, we need an efficient and practical way to
make sure the people coming into building aren’t infecting others with a deadly virus, in
the present everyone is at highest risk of getting infected.so there needs to be a way to
prevent spreading of pandemic from person to person.
Gang Jin[1]: presented a paper titled as “Design of Non-Contact Infra-Red
Thermometer Based on the Sensor of MLX90614”.
The paper designed the non-contact Infra-Red thermometer based on the sensor of
MLX90614 and the most favoured microprocessor STM32F107 for the non-contact liquid
security identification system. Completed the hardware circuit, made the PCB plate,
programmed the software with Keil C and de-bugged by Keil uVision4 MDK V4.22.
Then, studied the effects by measuring the temperature differences using bottles with
various shapes, materials, sizes and wall thickness at different distances. The systemmeets
the requirements of high reliability, low costs, low power consumption, real time
response and the demands of the non-contact liquid security identification system
P J Philip[2]: presented a paper titled as “Face Recognition”. This paper provides
an up-to-date critical survey of still and video-based face recognition research. There are
two underlying motivations for us to write this survey paper: the first is to provide an up-
to-date review of the existing literature, and the second is to offer some insights into the
studies of machine recognition of faces. To provide a comprehensive survey, we not only
categorize existing recognition techniques but also present detailed descriptions of
representative methods within each category. In addition, relevant topics such as
psychophysical studies, system evaluation, and issues of illumination and pose variation
are covered.
NenadPetrovic[3]: In this paper, we introduce an affordable IoT-based solution
aiming to increase COVID-19 indoor safety, covering several relevant aspects: 1)
contactless temperature sensing Contactless temperature sensing subsystem relies on
Arduino Uno using infrared sensor or thermal camera are performed by leveraging
computer vision techniques on camera-equipped Raspberry Pi.
Afnan Bashir[4]: We propose a low-cost internet of things (IoT)-enabled COVID-
19 standard operating procedure (SOP) compliance system that counts the number of
people entering and leaving a vicinity, ensures physical distancing, monitors body
temperature and warns attendees and managers of violations. The system comprises of
multiple sensor nodes communicating with a centralized server. The data stored on the

3. IoT Based Contactless Body Temperature Monitoring using Raspberry Pi, Arduino with camera and Email Alert
DEPT OF ELECTRONICS AND COMMUNICATION ENGINEERING, AGMRCET, VARUR.3
server can be used for compliance auditing, real-time monitoring, and planning purposes.
The system does not record the personal information of attendees nor provide contact
tracing information.
Alexandra Flores[5]: An integrated sensors platform for non-contact temperature
monitoring is proposed in this work. The adopted solution, based on the combined
integration of an infrared thermometer and a capacitive humidity sensor, is able to
provide a fast and accurate tool for remotely sensing both ambient and body temperature
in the framework of pandemic situations, such as COVID-19, thus avoiding any direct
contact with people. The information relative to the ambient temperature is successfully
exploited to derive a correction formula for the accurate extraction of body temperature
from the measurement provided by the standard infrared sensor. Full details on the design
of the proposed platform are provided in the work, by reporting relevant simulation
results on the variations of ambient temperature, relative humidity, and body temperature.
Experimental validations are also discussed to provide a full assessment of the proposed
approach.
Michael Jones[6]: As states and communities implement reopening plans during
the COVID-19 pandemic, non-contact temperature assessment devices may be used as
part of an initial check at entry points to identify and triage people who may have
elevated temperatures. Be aware that, even when the devices are used properly,
temperature assessment may have limited impact on reducing the spread of COVID-19
infections. Some studies suggest that temperature measurements alone may miss more
than half of infected people.
Thermal imaging systems and non-contact infrared thermometers, which are non-
contact temperature assessment devices, may be used to measure a person's temperature.
An elevated temperature is one way to identify a person who may have a COVID-19
infection, although an infected person may be contagious without an elevated temperature
or other easily detectable symptoms.

4. IoT Based Contactless Body Temperature Monitoring using Raspberry Pi, Arduino with camera and Email Alert
DEPT OF ELECTRONICS AND COMMUNICATION ENGINEERING, AGMRCET, VARUR.4
METHODOLOGY
We are doing project on “RASPBERRY PI”, “ARDUINO” board and transmit the
Alert email to Authorized Dept. Simultaneously the Alert Message is displayed on LCD.
Firstly, the system is initialized and scan the rfid through “RFID sensor” then the system
initializes “PI-Camera “to capture the image of the person, then color to grey conversion
will happen.
Applying “HAAR CASCADE ALGORITHM” it checks for Authorization, if the
processes is invalid then it’s repeated from the beginning. When image is verified then it
measures the body Temperature, if the body Temperature exceeds (103O
F) it will capture
image of the person and send alert mail to the Authorized Dept. if the body Temperature
is normal it will just record the details and allow.
If the unknown person enters it will just capture the image and monitors the temperature.
Block Diagram
Fig: Block diagram of IoT based Body Temperature Monitoring using Raspberry Pi
and Arduino
Raspberry Pi:
Raspberry Pi board is a miniature marvel, packing considerable computing power
into a footprint no larger than a credit card. The processor at the heart of the Raspberry Pi
system is a Broadcom BCM2835 system-on-chip (SoC) multimedia processor. This
means that the vast majority of the system’s components, including its central and
graphics processing units along with the audio and communications hardware, are built
onto that single component hidden beneath the 512 MB memory chip at the center of the
board. It’s not just this SoC design that makes the BCM2835 different to the processor
found in your desktop or laptop, however. It also uses a different instruction set
Raspberry Pi 3
B+
RFID
LCD Display
Pi
Camera
Alarm
Mail
Processing
Arduino
UNO

5. IoT Based Contactless Body Temperature Monitoring using Raspberry Pi, Arduino with camera and Email Alert
DEPT OF ELECTRONICS AND COMMUNICATION ENGINEERING, AGMRCET, VARUR.5
architecture (ISA), known as ARM. The Raspberry Pi, by contrast, is designed to run an
operating system called GNU/Linux Raspbian.
Features of the Raspberry Pi:
• Model B+ Raspberry Pi with Mounting Points and 512MB RAM.
• Broadcom BCM2835 ARM11 700 MHz
• Integrated Video core 4 Graphics GPU
Fig: Raspberry Pi model 3 B+
Pi Camera:
Camera is used to capture an image of crops; it is directly connected to the
raspberry Pi 3 Model B+. There are two ways to connect camera to raspberry Pi 3 model
B+. First one is through USB port and second is 15 pin headers provided for camera
interface of raspberry Pi3+
Arduino:
The Arduino Uno is a microcontroller board based on the ATmega328. It has 14
digital input/output pins (of which 6 can be used as PWM outputs), 6 analog inputs, a
16 MHz crystal oscillator, a USB connection, a power jack, an ICSP header, and a reset
button. It contains everything needed to support the microcontroller; simply connect it to
a computer with a USB cable or power it with a AC-to-DC adapter or battery to get
started. Uno means one in Italian and is named to mark the upcoming release of Arduino
1.0. The Uno and version 1.0 will be the reference versions of Arduino, moving forward.
The Uno is the latest in a series of USB Arduino boards, and the reference model for the
Arduino platform; for a comparison with previous versions, see the index of Arduino
boards

6. IoT Based Contactless Body Temperature Monitoring using Raspberry Pi, Arduino with camera and Email Alert
DEPT OF ELECTRONICS AND COMMUNICATION ENGINEERING, AGMRCET, VARUR.6
Fig: Arduino UNO SMD R3
Non-contact temperature measurement:
Non-contact temperature measurement enables the surface temperature of a body
to be identified without physical contact between the measurement object and the
temperature sensor. It is based on the optical analysis of the infrared radiation emitted by
the measurement object. This radiation is focused through a lens onto a detector which
translates it into an electrical signal. This can then be converted to an output size
proportional to the object temperature by means of signal processing.
RFID:
RFID belongs to a group of technologies referred to as Automatic Identification
and Data Capture (AIDC). AIDC methods automatically identify objects, collect data
about them, and enter those data directly into computer systems with little or no human
intervention. RFID methods utilize radio waves to accomplish this. At a simple level,
RFID systems consist of three components: an RFID tag or smart label, an RFID reader,
and an antenna. RFID tags contain an integrated circuit and an antenna, which are used to
transmit data to the RFID reader (also called an interrogator). The reader then converts
the radio waves to a more usable form of data. Information collected from the tags is then
transferred through a communications interface to a host computer system, where the data
can be stored in a database and analyzed at a later time.
RC522 RFID Module 13.56MHz:
• MFRC522 chip-based board.
• Operating frequency: 13.56MHZ.
• Supply Voltage: 3.3V.
• Current: 13-26mA.

7. IoT Based Contactless Body Temperature Monitoring using Raspberry Pi, Arduino with camera and Email Alert
DEPT OF ELECTRONICS AND COMMUNICATION ENGINEERING, AGMRCET, VARUR.7
Fig: RC522 RFID Module
OBJECTIVES
Our aim is to scan the user's RFID and determine his or her name from the input,
measure temperature of the user using MLX90614 non-contact temperature sensor and
capture his image and associate it with his or her name. Lastly, the data would be logged
for review by a health professional, thus keeping control of the virus in places like
hospital buildings, schools, and office buildings in the current and future.
POSSIBLE OUTCOMES
• This system provides Contact less Temperature monitoring.
• System does not require Human assistance.
• It is more effective and efficient.
• The information of the person will be stored in database.
APPROXIMATE COST
Sl No Materials Cost
1. 1 Raspberry Pi3 B+ 3500
2. 2 Arduino 400
3. 3 Pi Camera 400
4. 4 Temperature Sensor MLX90614 700
5 Other Components 1000
Total 6000

8. IoT Based Contactless Body Temperature Monitoring using Raspberry Pi, Arduino with camera and Email Alert
DEPT OF ELECTRONICS AND COMMUNICATION ENGINEERING, AGMRCET, VARUR.8
REFERENCES
[1] Nenad Petrovic: contactless temperature sensing Contactless temperature sensing
subsystem relies on Arduino Uno using infrared sensor or thermal camera are
performed by leveraging computer vision techniques on camera-equipped Raspberry
Pi.
[2] P J Philip: To provide a comprehensive survey, we not only categorize existing
recognition techniques but also present detailed descriptions of representative
methods within each category.
[3] Gang Jin: presented “Design of Non-Contact Infra-Red Thermometer Based on the
ensor of MLX90614”.
[4] Afnan Bashir: proposed a low-cost internet of things (IoT)-enabled COVID-19
standard operating procedure (SOP)
[5] Alexandra Flores: A Non-Contact Integrated Body-Ambient Temperature Sensors
Platform to Contrast COVID-19 Available online: https://www.mdpi.com/2079-
9292/9/10/1658
[6] Thermal Cameras Are Being Outfitted to Detect Fever and Conduct Contact Tracing
for COVID-19. Available online: https://spectrum.ieee.org/news-fromaround-
ieee/the-institute/ieee-member-news/thermal-camerasare-being-outfittedto-detect-
fever-and-conduct-contact-tracing-for-covid19
[7] This Temperature-Screening System for COVID-19 Can Check Up to 9 People at
https://spectrum.ieee.org/news-from-around-ieee/the-institute
/ieeemembernews/thistemperaturescreening-system-for-covid19-can-checkup-to-9-
people-atonce.
[8] Non-Contact Temperature Assessment Devices during the COVID-19 Pandemic.
Available online: https://www.fda.gov/medical-devices/coronavirus-covid-19-
andmedical-devices/non-contacttemperature-assessment-devices-during-covid-19-
pandemic
[9] Karakostopulos, K. MLX90614 family Single and Dual Zone Infra-Red Thermometer
in TO-39. Melexis Microelectronic. Integer. Syst. 2008, 1, 1–42
[10] Paul Viola and Michael Jones in their paper, “Rapid Object Detection uses a Boosted
Cascade of Simple Features” in 2001. It is a machine learning based approach where a
cascade function is trained from a lot of positive and negative images.