Autonomous Carrom Robot

The project is a realization of an automated smart carrom-playing robot which continuously analyses the board configuration using a vision feed and image processing and plays a series of best possible shots to complete a game. This leverages the knowledge of reinforcement learning in implementing a strategic gameplay.
- Research by Naveen Karunanayake, Achintha Wijesinghe & Chameera Wijethunga

Based on Publication:
"Towards a Smart Opponent for Board Games: Learning beyond Simulations," in Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, Toronto, Canada (virtual), 2020

Awards

  • Runners Up – IEEE IAS Robotics Demonstration contest 2020 (Michigan USA).
Cladia research for pulse rate estimation

Non-invasive Cuff-less Blood pressure estimation/ Cardio-vascular disease prediction from a light signal (PPG)

5.1mmHG Accuracy for Blood Pressure estimation.

Research Publications.
Identifying the Optimum Region of the Human Sole to Extract the PPG Signal for Pulse Rate Estimation, ICSPS 2017, Nov 2017, Auckland, New Zealand

Awards

  • Disrupt Asia Startup Battle 2017 - Champions.
  • Microsoft Imagine Cup 2017 (Sri Lanka) - 2nd Runners Up
  • Commonwealth Digital Health Awards (Non-Communicable Diseases category) - Winners.
Cladia research for pulse rate estimation

Identifying upper arm injuries due to throwing

Unsupervised clustering algorithms to features extracted on Electromyography and player statistics.

Research Publications.
A Low-Cost Wearable System to Analyze the Human Arm for Predicting Injuries Due to Throwing, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’19), Berlin, Germany


Level Set Image Segmentation using Python

Python implements a new level set formulation, called distance regularized level set evolution (DRLSE), proposed by Chunming Li et al's in the paper "Distance Regularized Level Set Evolution and its Application to Image Segmentation", IEEE Trans. Image Processing, vol. 19 (12), 2010

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Image Enhancing Software to test image pre-processing functions

Image enhancement application based on 'OpenCV' and 'PyQt4'. You can use this as a small image enhancement software for day-to-day work and can be used to do pre-processing for images before feeding into a Neural Network.

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AI to play Google Chrome T-Rex game in python

AI playing chrome T-Rex game
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Yolo wrapper for python

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Image Morphing application using Python

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Integer Sequence Learning

Tensor-flow code for the Integer Sequence Learning problem that is described in Kaggle.

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Classification of MNIST digits by Inception CNN modules.

Tensor-flow based classification of MNIST digits by convolutional neural networks (CNN) with Dropout and Inception layers.

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A well-capable team in Machine Learning and Artifical Intelligence leading the great products & research.

  • Buddhishan Manamperi

    Buddhishan Manamperi

    BSc. (Hons) Eng. (Moratuwa)
    Adv. Dip in MA, CIMA, UK.
    MSc in Computer Science (Reading).
    Batch Top – Faculty of Engineering, UoM

    Previous Experience:
    Software Engineer
    oDoc (PVT) LTD

  • Tharindu Malawaraarachchi

    Tharindu Malawaraarachchi

    BSc. (Hons) Eng. (First Class, Moratuwa)
    Adv. Dip in MA, CIMA, UK.
    Island Rank 2 - GCE(A/L) 2012.

    Previous Experience:
    Software Engineer
    WSO2 (PVT) LTD
    (Fintech solutions for banks in UK & India)

  • Ramesh Rathnayake

    Ramesh Rathnayake

    BSc. (Hons) Eng. (First Class, Moratuwa)
    Best Inventor of the Island (Sahasak Nimawum)

    Previous Experience:
    Machine Learning Engineer
    Zone 24X7 (PVT) LTD
    (Machine Learning Department serving Fortune 500 Companies)

  • Ramesh Rathnayake

    Naveen Karunanayake

    BSc. (Hons) Eng. (First Class, Moratuwa)
    District Rank 1 - GCE (A/L)
    RunnersUp- IEEE IAS CMD robotics contest, USA

    Previous Experience:
    Research Intern
    CSIRO's Data61, Sydney

  • Ramesh Rathnayake

    Achintha Wijesinghe

    BSc. (Hons) Eng. (First Class, Moratuwa)
    RunnersUp- IEEE IAS CMD robotics contest, USA

    Previous Experience:
    Research Intern
    CSIRO's Data61, Sydney

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