internship

1. DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING,
TOPIC : EMBEDDED SYSTEMS
(offline mode)
INTERNSHIP 1- TECH TEAM SOLUTIONS
ANDHRA UNIVERSITY COLLEGE OF ENGINEERING(A),
ANDHRA UNIVERSITY,
VISHAPATNAM-530003
From 15.04.24 To 15 .05.24

2. ABSTRACT:
The embedded systems internship provided an in-depth exploration of designing, developing, and implementing
hardware-software integrated solutions that form the backbone of modern technology. During the internship, we delved into the
architecture and functionality of microcontrollers, processors, and real-time operating systems (RTOS). Key focus areas included
firmware development, sensor integration, and communication protocols such as I2C, SPI, and UART. Hands-on projects were
integral to the experience, allowing participants to build and program embedded systems that interact with the physical world..

3. INTRODUCTION:
A revolutionary noise detector has been unveiled, promising to transform the way we monitor and mitigate noise
pollution. This cutting-edge technology boasts advanced sensor capabilities, accurately measuring noise levels in
real-time and analyzing data through artificial intelligence. The user-friendly interface allows for effortless monitoring
and management, making it an invaluable tool for various applications. Environmental scientists and experts hail the
innovation as a game-changer, enabling swift action against excessive noise levels. With its potential to improve noise
management in industrial settings, urban planning, and healthcare research, this breakthrough technology is poised to
create a significant impact on our environment and well-being.
The latest advancements in embedded systems have led to the development of highly sophisticated automatic gates,
transforming the way we approach security and convenience. These intelligent gate systems, powered by
microcontrollers and sensors, can be seamlessly integrated with various technologies such as RFID, Wi-Fi, and
Bluetooth. With real-time monitoring and control capabilities, homeowners can now grant access, receive notifications,
and even monitor video footage directly on their smartphones. The incorporation of machine learning algorithms
enables these gates to learn and adapt to user behavior, ensuring enhanced security and personalized experiences. As
embedded systems continue to evolve, we can expect to see even more innovative features and integrations in automatic
gate technology, redefining the future of access control and smart home automation.

4. REQUIREMENTS
Hardware Requirements
Arduino board
Sound sensor module
Software Requirements
Proteus 8 proffesional
PIR Sensor

5. OBJECTIVES
The Objective is to create an interactive and Noise Detector and automatic Gate using Arduino. The objectives of the
project are to design and develop an automated gate system that opens and closes based on motion detection and user
input, and a noise detection system that monitors and detects excessive noise levels, using Arduino.
The gate system will utilize motion sensors and user interface components, while the noise detection system will
utilize a sound sensor to measure ambient noise levels. The Arduino will be programmed to automatically open the
gate when motion is detected or user input is received, and to trigger an alert or alarm when noise levels exceed a
predetermined threshold.

6. BLOCK DIAGRAM
NOISE DETECTOR:
.
.

7. BLOCK DIAGRAM
AUTOMATIC GATE
.
.

8. NOISE DETECTOR:
A sound sensor detects ambient noise and sends signals to Arduino.Arduino converts the signals to digital values and
compares them to a threshold.If the noise level exceeds the threshold, Arduino triggers an alert or alarm.
.
WORKING PRINCIPLE
Continuous monitoring ensures real-time noise level detection and alerting.

9. WORKING PRINCIPLE
AUTOMATIC GATE:
Automatic gates are not only functional but also add aesthetic value to the property, with options available in
different designs and materials.
Additionally, the system can be programmed to adjust the distance of the object so that the function of the
gate can be operated in a specific distance.

10. SOUND SENSOR
A sound sensor is a device that detects sound waves and converts them into electrical signals. It typically consists
of a microphone, amplifier, and output circuit. The sensor measures sound intensity, frequency, or duration, and
sends the data to a microcontroller like Arduino for processing and triggering actions.

11. PIR SENSOR
A PIR (Passive Infrared) sensor is a motion detector that senses infrared radiation from humans or animals,
triggering an output signal. It's commonly used in security systems, lighting controls, and automation
projects. When a person enters its detection range, the sensor sends a digital signal to a microcontroller like
Arduino, enabling applications like motion-activated lighting or alarm systems.

12. ARDUINO:
Arduino's working principle involves writing a program (sketch) in the Arduino IDE, compiling it into machine
code, and uploading it to the board via USB. The microcontroller executes the code, reading inputs from sensors,
performing calculations, and controlling outputs in a continuous loop. Key components include the
microcontroller, input/output pins, analog-to-digital converter, power supply, and communication protocols. This
process enables Arduino to interact with the physical world, making it a powerful tool for prototyping and
creating innovative projects.

13. FLOW CHART

14. NOISE DETECTOR

15. AUTOMATIC GATE

16. RESULTS
Noise Detector
● The noise detector used in project work can detect the sound levels upto 100 db and the response time of the noise
detector can be adjusted as required.
● The system can be powered using a 9v battery.The Noise Detector can be used in monitoring the noise in the
surroundings.
Automatic Gate
● The automatic gate control system detects the objects upto the distance as mentioned in the code.
● The gate opens and closes within the time mentioned in the code.
● The system is powered using a 12 volts battery.
● The gate can be set to open and close at specific times.

17. FUTURE SCOPE AND
CONCLUSION
Future Scope:
1. Artificial Intelligence (AI) and Machine Learning (ML): Integration of AI and ML algorithms for intelligent decision-making.
2. Internet of Things (IoT): Increased connectivity and communication between devices.
3. Robotics and Automation: Enhanced automation in industries like manufacturing, healthcare, and transportation.
4. Cybersecurity: Improved security measures to protect against cyber threats.
5. Edge Computing: Processing data closer to the source for faster response times.
CONCLUSION :
Embedded systems are specialized computing systems designed to perform dedicated functions or tasks within larger
systems. They are integral to modern technology, found in applications ranging from consumer electronics and automotive
systems to industrial machines and medical devices. The key characteristics of embedded systems include real-time operation,
reliability, efficiency, and often, constraints on size, power, and performance.

18. REFERENCES
Embedded Systems: Introduction to the MSP432 Microcontroller” by
Jonathan W. Valvano
“Embedded Systems: Real-Time Operating Systems for ARM
Cortex-M Microcontrollers" by Jonathan W. Valvano
"Embedded Systems: Principles and Practice" by David E. Simon
"Programming Embedded Systems: With C and GNU Development
Tools" by Michael Barr and Anthony Massa
"The Definitive Guide to ARM Cortex-M3 and Cortex-M4 Processors"
by Joseph Yiu

20. THANK YOU