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Objectives of the workshop
Our Embedded System and IoT Skill Development Program presents a premier opportunity for both aspiring students and seasoned professionals to immerse themselves in the forefront of technological innovation. Through a meticulously crafted curriculum and expert guidance from industry leaders, participants are immersed in hands-on learning experiences from inception. The program's dynamic approach ensures that individuals acquire the most current and sought-after skills in embedded systems and IoT, constantly refined to align with the latest industry advancements.
Designed with a focus on career advancement, our program equips participants with the requisite knowledge and practical expertise to thrive in today's tech-centric landscape. Alumni of our program have successfully secured positions in leading tech companies, a testament to the caliber of education and training provided. Offering flexible learning options, our program caters to diverse schedules, allowing individuals to seamlessly integrate their studies with other commitments.
Embark on a transformative journey with us, as we navigate the intricate realm of embedded systems and IoT, shaping the future of industries worldwide.
Why Embedded Systems and IoT?
Embedded Systems and IoT are revolutionizing how we interact with the world around us. From smart homes and wearable devices to industrial automation and healthcare systems, these technologies are at the heart of countless innovations. By gaining expertise in Embedded Systems and IoT, you'll be equipped to tackle real-world challenges and contribute to the development of the next generation of connected devices and systems.
Program Highlights
Comprehensive Curriculum
Our program covers the fundamentals of Embedded Systems and IoT, including microcontroller programming, sensor integration, and cloud connectivity.
Hands-On Learning
Get ready to roll up your sleeves and dive into practical projects that simulate real-world scenarios. Multiple IoT based projects were developed and in depth knowledge was provided to students regarding the use of microcontrollers e.g. Arduino , ESP 32 etc.
Expert Guidance
Learn from industry professionals with years of experience in Embedded Systems and IoT development. Participants gained hands on knowledge regarding use of IDE’s and project development.
Project-Based Approach
Put your skills to the test with hands-on projects that challenge you to solve problems and unleash your creativity. From designing smart home automation systems to building IoT-enabled prototypes, you'll have the opportunity to bring your ideas to life.
Introduction to sensors
MQ2 Gas Sensor
The MQ2 sensor is one of the most widely used in the MQ sensor series. It is a MOS (Metal Oxide Semiconductor) sensor. Metal oxide sensors are also known as Chemiresistors because sensing is based on the change in resistance of the sensing material when exposed to gasses.
The MQ2 gas sensor operates on 5V DC and consumes approximately 800mW. It can detect LPG, Smoke, Alcohol, Propane, Hydrogen, Methane and Carbon Monoxide concentrations ranging from 200 to 10000 ppm.
Ultra Sonic Sensor
Ultrasonic sensor working principle is either similar to sonar or radar which evaluates the target/object attributes by understanding the received echoes from sound/radio waves correspondingly. These sensors produce high-frequency sound waves and analyze the echo which is received from the sensor. The sensors measure the time interval between transmitted and received echoes so that the distance to the target is known.
IR Sensor
An infrared (IR) sensor is an electronic device that measures and detects infrared radiation in its surrounding environment. Infrared radiation was accidentally discovered by an astronomer named William Herchel in 1800. While measuring the temperature of each color of light (separated by a prism), he noticed that the temperature just beyond the red light was highest. IR is invisible to the human eye, as its wavelength is longer than that of visible light (though it is still on the same electromagnetic spectrum). Anything that emits heat (everything that has a temperature above around five degrees Kelvin) gives off infrared radiation.
Industry-Relevant Skills
This program has been meticulously crafted in partnership with industry leaders to provide you with a comprehensive set of skills and knowledge essential for success in the fields of Embedded Systems and IoT. Through this collaboration, our aim is to equip you with a distinct competitive advantage, ensuring you are well-versed in the in-demand skills of these evolving technologies. As part of this curriculum, students delve into the intricacies of IoT-enabled technologies, gaining invaluable real-time experience. These innovative creations not only offer a deep understanding of technological workings but also showcase practical applications that can significantly enhance our daily lives.
Student Project :- 'PROXIGUIDE'
The ProxiGuide is a prototype of an advanced automotive proximity sensing system designed to assist drivers during parking manoeuvres by detecting obstacles in close proximity to the vehicle. It incorporates a network of ultrasonic sensors strategically placed on the vehicle's front, rear, and/or sides, depending on the specific implementation. These sensors emit high-frequency ultrasonic sound waves or ultrasonic light pulses and measure the time it takes for the waves or pulses to reflect off nearby objects and return to the sensor. Based on this time measurement, the system calculates the distance between the vehicle and the detected object with high precision. The ProxiGuide system is equipped with sophisticated signal processing algorithms that analyse the sensor data in real-time to determine the proximity of detected objects. As a vehicle approaches an object or obstacle, the system modulates the frequency and intensity of auditory signals (buzzing) using a buzzer and visual signals using two LED lights to provide the driver with immediate feedback regarding the object's distance. The buzzer starts beeping when the obstacle comes within a distance of 40cm,30cm,20cm,10cm respectively with a blue light detecting. The buzzer starts beeping continuously as the obstacles comes within a distance of 10 cm and a red light starts blinking like an alert system.
The auditory and visual feedback is designed to be intuitive and progressively more pronounced as the object comes closer to the vehicle, alerting the driver to potential collision risks and aiding in precise manoeuvring during parking or tight space navigation. Additionally, the ProxiGuide system may be integrated with the vehicle's onboard computer or infotainment system to provide visual displays or audio alerts directly to the driver, enhancing situational awareness and safety. Overall, the ProxiGuide device represents a cutting-edge solution for enhancing driver assistance and safety in parking scenarios, leveraging advanced sensor technologies and intelligent signal processing algorithms to provide accurate and intuitive proximity feedback to the driver in real-time. This device can also be used in making the Advance Driver Assistance System (ADAS) of the automobiles more efficient while driving, by improving its breaking capabilities. This device can also be used in some security and devices at high-risk places
'Anti Collision Device for Vehicles and Railways'
Project Overview:
The project involves creating a distance measurement and collision
warning system using an Arduino UNO R3 board, a 16x2 LCD, an
ultrasonic distance sensor (HC-SR04), an LED, a buzzer, and a relay
module. The system measures the distance using the ultrasonic sensor
and displays it on the LCD screen. It activates the LED, buzzer, and
relay module based on certain distance thresholds, providing collision
warnings and even applying breaks (Through Relay) if necessary.
1. Automotive Safety Systems: Similar technology is used in modern
vehicles for parking assistance, collision avoidance, and adaptive
cruise control. The distance measurement and warning system can help
drivers avoid collisions and enhance overall safety.
2.Industrial Automation: This technology can be applied in industrial
settings for monitoring and maintaining safe distances between
machinery or objects. It can contribute to the safety of automated
processes.
3.Robotics: Robots and autonomous systems can utilize similar
distance measurement systems to navigate their environment, avoid
obstacles, and ensure safe interactions with humans or other objects.
4.Home Automation: In home security systems or smart homes, such
technology could be adapted to detect intruders or monitor the
proximity of objects, enhancing overall security.
5.Education and Prototyping: This project is also valuable for
educational purposes, helping students and hobbyists learn about
sensor integration, microcontroller programming, and electronic
components.
Students Project
Submitted by: Nishant Verma,
Roll No: 04716412821
6.Research and Development: Engineers and researchers may use similar technologies in prototyping and testing phases for various projects, especially those related to human-machine interaction and safety.
7.Smart Cities: In the context of smart cities, similar systems could be implemented for pedestrian safety, traffic management, and public transportation.
8.Assistive Technologies: The technology could be adapted to create assistive devices for individuals with visual impairments or mobility challenges, helping them navigate and detect obstacles.
1. The ultrasonic distance sensor measures the distance to an object.
2. The Arduino calculates the distance based on the time taken for the ultrasonic signal to travel.
3. The calculated distance is displayed on the LCD's first line.
4. If the distance is less than 40 cm, the LED glows, and "Near" is displayed on the LCD's second line.
5. If the distance is less than 20 cm, the relay module and the buzzer sounds is activated, simulating a brake application, and "Break Applied" is displayed on the LCD's second line.
Patron
Chief Mentor, IDEA Lab
Dean, USIC&T
Prof. (Dr.) Padma Shri
Mahesh Verma
Hon’ble Vice Chancellor, GGSIP University
Dean, USIC&T
Chief Mentor, IDEA Lab
Dean, USIC&T
Prof. Anjana Gosain
Dean, USIC&T, GGSIP University
Chief Mentor, IDEA Lab
Chief Mentor, IDEA Lab
Chief Mentor, IDEA Lab
Prof. Amit Prakash Singh
Professor, USIC&T, GGSIP University
Coordinator
Coordinator
Coordinator
Dr. Ruchi Sehrawat
USIC&T, GGSIP University
Coordinator
Coordinator
Coordinator
Dr. Manoj Kumar Satyarthi
USIC&T, GGSIP University
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