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SPARK PI COMMUNITY

In making Raspberry Pis available within the department year on year; SPARK will encourage, facilitate and nurture innovation in the use of this technology. ENTC intends to build expertise over several years to fully support a vibrant and active Pi community and therefore become a contributor to the development of products and services associated with the Raspberry Pi; in time being recognised as a centre of excellence in the use of this device.

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PI - MORA

Raspberry JAM's are independently organised community events for people to come together to learn about digital making with Raspberry Pi. ENTC will undertake 3 Raspberry JAMs (Pi-MORA's) every academic year. Undertaking to teach Pi enthusiasts about the capabilities of the Raspberry Pi platform.

Pi Mora 2.1 - Ethical Hacking Workshop

PiMora 2.1, organized by the Electronic Club and powered by Spark@UoM, took place on September 24-25, 2022. The event featured a two-day session led by Mr. Yasiru Senarath, an undergraduate from the Department of Electronics and Telecommunication Engineering at the University of Moratuwa. It focused on ethical hacking, offering both theoretical and practical insights. Day 1 covered an introduction to ethical hacking, basic terminal commands, and cybersecurity fundamentals. Day 2 included a hands-on workshop on hardware overviews, Raspberry Pi setup, working with GPIOs, and defending against ARP attacks, with a demonstration of attack and defense techniques. Missed PiMora 2.1? Full sessions are now available on YouTube:

Links

Pi Mora 2.1 - Ethical Hacking Workshop | Image: 0Pi Mora 2.1 - Ethical Hacking Workshop | Image: 1

Pi Mora 2.2 - Computer Vision with Raspberry Pi

PiMora 2.2, organized by the Electronic Club of the University of Moratuwa and powered by Spark@UoM, was held on the 13th of December 2022. The session was led by Mr. Bimalka Piyaruwan, an undergraduate at the Department of Electronics and Telecommunication Engineering, University of Moratuwa, who guided participants through the fascinating world of computer vision. During this session, participants learned about computer vision and how it works using Raspberry Pi. The workshop offered a unique opportunity to gain hands-on experience and insights into this exciting field.

Pi Mora 2.2 - Computer Vision with Raspberry Pi | Image: 0

TECHNOLOGY DEMONSTRATORS

To demonstrate and showcase the student and Pi capabilities; a number of complex and challenging projects will be implemented throughout the year.

MeasureUp

MeasureUP is a dual-unit device designed to accurately measure both body height and body weight, providing instant readings along with calculated BMI.It is a project undertaken by a group of Sri Lankan undergraduate students studying biomedical engineering at the Department of Electronic and Telecommunication Engineering, University of Moratuwa. The project is funded by the World Bank and guided by the University Business Linkage Cell at the University of Moratuwa.

Team Members

  • Isiri Withanawasam
  • Nadun Rajapakshe
  • Chathura Weerasinghe
  • Risini Kumarasinghe
MeasureUp | Image: 0MeasureUp | Image: 1

Hedwig- IoT Power Monitoring System

Energy efficiency is vital for industrial facilities to manage costs and minimize environmental impact. Many machines have individual power monitoring systems, but the data's scattered nature hinders effective analysis. Our project proposes an industrial energy monitoring system that centralizes and analyzes energy data for deeper insights. By enabling real-time data transmission to a centralized system, our solution provides valuable insights into energy consumption patterns and equipment performance. This empowers facilities to optimize energy usage, reduce waste, and enhance operational efficiency. The Industrial Power Monitoring System features key components, including voltage and current sensors, power measuring ICs, a microcontroller, and a cloud-based data management and visualization interface.

Team Members

  • Kumal Hewagamage
  • Dulmin Edirisinghe
  • Mihiran Wickramarathne
  • Nimshi Wanniarachi
Hedwig- IoT Power Monitoring System | Image: 0Hedwig- IoT Power Monitoring System | Image: 1

Smart Agri Voltaic System

Eco Nova’s Smart Agri-Voltaic System, developed for the SPARK Challenge, combines cutting-edge solar energy production with sustainable agriculture to address Sri Lanka’s energy and agricultural challenges. This innovative system maximizes land use by integrating solar panels with high-quality crop production, increasing yields while reducing water waste by 50%. With advanced IoT-based monitoring, predictive maintenance, and smart drip irrigation, it ensures optimal solar panel efficiency and crop health. The Agro-Plan Model, powered by GIS data, recommends ideal crop selections and solar panel layouts tailored to specific locations. Our solution supports energy independence, job creation, and food security while reducing carbon emissions and crude oil dependency, contributing to sustainable development goals.

Team Members

  • Odil Janandith
  • Kavindra Alwis
  • Sasika Amarasinghe
  • Danindu Dabare
Smart Agri Voltaic System | Image: 0

FINAL YEAR

As part of the curriculum, final year Pi based project will demonstrate the fantastic engineering capabilities of the students.

Revolutionizing Virtual Cycling with Raspberry Pi

A group of final-year undergraduates from the Department of Electronic and Telecommunication Engineering at the University of Moratuwa developed an innovative virtual cycling platform using Raspberry Pi and virtual reality. The project enables communication between a Raspberry Pi and a BLE-compatible smart trainer, sending data to an AWS cloud server via UDP. The team used the Pycycling Python package and Bleak for Bluetooth Low Energy (BLE) communication, leveraging the FTMS protocol to control resistance. Supported by Dialog Axiata’s 5G Innovation Center.

Team Members

  • Supervised by Professor Dileeka Dias and Dr. Kasun Hemachandra
  • Pasindu Manodara
  • Dulmi Chathumini
  • Naduni Damsari
  • Dilan Senuruk
Revolutionizing Virtual Cycling with Raspberry Pi | Image: 0