Department of Computer science Conducted IOT Workshop for final Year BCA & BSc Computer Science Students

The Department of Computer science Conducted IOT Workshop for final Year BCA & BSc Computer Science Students

On: 29/11/2025

Topic : Internet of Things (IOT) Workshop

Venue: Conference Hall SBMFGC-KGF

Resource Person : Mr. Lohith Kumar, Founder Of Ziony Technologies (Ziobotics) Bengaluru

Faculty In-charge :

Mr. Siddarama S, Associate Professor ,Department of computer Science, SBMFGC-KGF

Mr.Teekshith Kumar M, Assistant Professor , Department of Computer Science, SBMFGC-KGF

Mr. Dileep D , Assistant Professor , Department of Computer Science, SBMFGC-KGF

Total number of Student attended: 150

Objective of the Workshop

  1. Enhances Technical Skills
    Students get hands-on experience with sensors, microcontrollers, and real-time data handling.
  2. Bridges Theory and Practical Knowledge
    Concepts learned in class (networking, embedded systems, programming) are applied in real-world scenarios.
  3. Introduces Emerging Technologies
    IoT is a rapidly growing field; workshops help students stay updated with current industry trends.
  4. Boosts Problem-Solving Ability
    Learners design small IoT models, helping them develop analytical and logical thinking.
  5. Encourages Innovation and Creativity
    Students build unique IoT solutions such as smart home models, automation systems, etc.
  6. Improves Career Opportunities
    IoT skills are in high demand across industries like healthcare, agriculture, manufacturing, and smart cities.
  7. Hands-On Project Development
    Participants build mini projects that can be showcased in portfolios, competitions, and internships.
  8. Promotes Teamwork and Collaboration
    Group-based IoT tasks help enhance communication and team coordination skills.
  9. Supports Industry-Academia Connection
    Workshops often include expert sessions that expose students to real industry challenges.
  10. Motivates Students Towards Research
    IoT opens paths for research in automation, AI integration, data analytics, and sensor networks.
1. Agriculture Drone 2. Octagonal Walking Robot 3.Obstacle avoiding Car
4. Vacuum car 5. Sensor Following Car
  1. Agriculture Drone:
    An agriculture drone is an IoT-enabled device used to monitor crops, spray fertilizers, and detect plant health using sensors and cameras. It collects real-time data on soil moisture, crop growth, and pest infestations, helping farmers make data-driven decisions. These drones can be controlled remotely and automate farming tasks, improving efficiency and yield.
  2. Octagonal Walking Robot:
    An octagonal walking robot is a multi-legged robot designed for terrain navigation, equipped with sensors for obstacle detection and balance. Using IoT connectivity, it can be remotely monitored and controlled for exploration, surveillance, or rescue operations. Its design allows stable movement over uneven surfaces where wheeled robots may fail.
  3. Vacuum Car:
    A vacuum car is an automated IoT device that cleans surfaces using suction, similar to robotic vacuum cleaners. It can detect dirt, map the cleaning area, and avoid obstacles using sensors. Users can monitor and control it via smartphones or cloud applications, enabling efficient cleaning without manual intervention.
  4. Sensor Following Car:
    A sensor-following car is a small robotic vehicle that uses sensors like IR or ultrasonic modules to follow a pre-defined path. IoT integration allows remote monitoring, data logging, and route adjustments in real time. It’s commonly used in educational projects to teach automation and robotics concepts.
  5. Obstacle Avoidance Car:
    An obstacle avoidance car is a robotic vehicle that navigates autonomously by detecting and avoiding obstacles using ultrasonic, infrared, or LIDAR sensors. IoT connectivity enables real-time tracking, route planning, and data collection for further analysis. It’s useful for smart transportation and autonomous navigation research.

Outcome of the Workshop :

  1. Understanding of IoT Basics: Participants will gain a clear understanding of IoT concepts, architecture, and real-world applications.
  2. Familiarity with IoT Components: Attendees will be able to identify and describe components like sensors, actuators, microcontrollers, and communication modules.
  3. Hands-on Experience: Participants will get practical exposure to connecting and programming IoT devices.
  4. Sensor Integration Knowledge: Learners will understand how sensors collect data and how it is transmitted for processing.
  5. Application Awareness: Attendees will know how IoT can be applied in areas like agriculture, smart homes, healthcare, and transportation.
  6. Problem-Solving Skills: Participants will learn to design simple IoT solutions to solve real-world problems.
  7. Data Interpretation Skills: Attendees will understand how to interpret sensor data and make decisions based on it.
  8. IoT Project Preparation: Learners will be better prepared to start small IoT projects individually or in teams.
  9. Networking and Collaboration: Participants can collaborate and share ideas on innovative IoT applications.
  10. Motivation for Advanced Learning: The workshop will inspire further exploration of IoT technologies, programming, and related research areas.