Project Showcase

PROJECT SHOWCASE

Versatile Mobile Robot Monitor Software

This video describes the software I used to monitor and control my mobile robots via wireless link as seen in earlier videos. It has multiple displays for sensors data, similar to Arduino IDE Serial Plotter tool. It’s a versatile software written using Visual Basic .NET and can be customized to various types of robots. I initially started writing this software back in 2003 to control my bipedal robot (https://youtu.be/7lf1ISMQg9I). Over the years I have added more features and improve the efficiency, stability and portability of the codes, the result is what is seen in this version.

Project Leader: Prof. Fabian Kung Wai Lee
Date: April 2022

FPGA-based Communication Signal Generator

This is a short tutorial on OFDM (Orthogonal Frequency Domain Multiplexing) signalling. OFDM method is widely used in WLAN (WiFi) and 4G wireless communications, and most probably future 5G systems. OFDM is a method that uses multiple carriers (e.g. sine waves) to transport information or data, and these carriers are harmonically related, hence the term ‘orthogonal’ because sine waves with such frequencies are orthogonal when we integrate their product. In this project, the OFDM signals are generated using a custom design hardware as shown in the picture. The hardware is actually a training kit we designed to teach basic digital and analog communication principles using a single carrier. So recently we reprogrammed the hardware to also generate multiple carriers to support OFDM signalling.

Project Leader: Prof. Fabian Kung Wai Lee
Date: December 2021

Vehicle Type Recognition in Nighttime Scene

Intelligent Transportation System (ITS) has become an often-mentioned topic as it is outlined as one of the pillars to establish smart city concept. Vehicle type recognition plays a vital role in Intelligent Transportation System, which aims to enhance traffic efficiency, implement innovative traffic management and minimize traffic accident.

FYP Student: Willy Liew Wen How
Project Supervisor: Mr. Mohd Haris Lye Abdullah
Date: December 2021

Weapon Detection in Surveillance Videos using Deep Neural Networks

The proposed method is using a deep learning architecture such as YOLOv3 to achieve a good performance in accuracy and speed in order to detect a dangerous weapon in real-time application. YOLOv3 will make a prediction that contain dangerous weapon such as knife and pistol inside video frames.

FYP Student: Muhammad Ekmal Eiman Quyyum Bin Mohamad
Project Supervisor: Mr. Mohd Haris Lye Abdullah
Date: December 2021

Deep Learning-based Prediction Model to Reduce Grain Damage and Energy Wastage in Agroindustry

A Long Short-Term Memory (LSTM) based prediction model that tracks the grain moisture content (MC) level throughout the drying process to control the stopping time of an industrial inclined bed dryer (IBD). When evaluated against the validation dataset, MC value prediction from 2 hours to 10 hours ahead of time, with an RMSE of just 1.5 units. The optimum drying time provided by the prediction model eventually forms a practical agriculture solution that helps the agroindustry operators to avoid excess energy consumption and manage manpower efficiently for the unloading process while preserving the final quality of dried grain.

FYP Student: Lok Jia Jun
Project Supervisor: Dr. Tan Wooi Nee
Date: November 2021

Wearable Health Monitoring System

IoT health monitoring system will be utilizing Long Range Wide Area Network (LoRaWAN) technology to allow visualization of health statuses such as vital signs (temperature and heart rate) and body movement (falling actions) that can be monitored by physicians and alert systems for the physicians if the system detects any falling actions benefiting in terms of low consumption of power and the distance of communication range.

FYP Student: D N Ezridah Binti D N Esham
Project Supervisor: Dr Tan Wooi Haw
Date: October 2021

Prototype of A Driving Simulator

With the Covid-19 Pandemic, education took a turn from real life class session to virtual sessions online. This gave an opportunity for immersive learning to be used and grow as a usable educational platform, but how effective is immersive learning? A FYP was done to design and develop a prototype of a driving simulator and was experimented with conventional methods to study the learning efficiency between the driving simulator and conventional method (printed materials). The simulator prototype is designed based on the Malaysian Ministry of Transport Standardised License Exam Textbook.

FYP Student: Tyler Cheng
Project Supervisor: Dr. Chin Ji Jian
Date: October 2020

Products Design Using Piezoelectric Sensors

Capstone Project Student: Abdulla Mubaah & Iskandar Zulkarnain Bin Jafriz
Project Supervisor: Dr. Sin Yew Keong
Date: October 2020

Piano Learning Device

Capstone Project Student: Ahmad Hafiz Bin Mohd. Jamil & Hanafi bin Shamsul Irwan
Project Supervisor: Dr. Sin Yew Keong
Date: October 2020

Application of Piezoelectric in Hospital Bed

Capstone Project Student: Abdusame Omran N Berish & Fayzatul Ashmera Bt Merdan
Project Supervisor: Dr. Sin Yew Keong
Date: October 2020

IoT Interactive Kiosk

Have you ever imagined multimedia university campus library with smart lockers? Instead of the traditional lockers available in the library and your belongings get lost or stolen. Have you ever imagined a smart locker where you can access to it with your fingerprint and entering your credentials? Today a new project is proposed where it provides a smart locker system, where you can place your belongings in a safe secure place. The kiosk requires you to enter your full name, ID, mobile phone and scan your fingerprint. After keying in your data, the locker is reserved for you till you pick up your belongings again.

FYP Student: Omar Ayman Mohamed Aboelala
Project Supervisor: Dr. Lee It Ee, Dr. Chung Gwo Chin
Date: September 2020

Activities Tracking System

The elderly population is experiencing high growth in most of the countries. Today, 8.5% of the total population worldwide is aged 65 and above. Most of the elderly preferred to stay at home most of the time. Due to a limited movement within the household, many of them engaged in only a few physical activities. According to the World Health Organisation (WHO) tracking physical activity of a person confined to home can attribute to a reduction of high blood pressure and weight as well as reduce risks of heart disease, stroke, type 2 diabetes and various types of cancer. In view of this, one of the research centre (Digital Home and lifestyle centre) in the Faculty of Engineering, MMU has initiated a project to develop a wearable tracking device to track physical activities and indoor position.

Please click here for further details.

Project Leader: Dr. Ooi Chee Pun
Date: May 2020

Medical Adherence System and Walker

Project developed by Digital Home and Lifestyle Centre, MMU

Project Leader: Dr. Ooi Chee Pun
Date: May 2020

Automatic Hand Sanitizer Dispenser

As I am writing this, the location that I am residing in is under partial lock down due to the Covid-19 pandemic. Thus I have been confined to home like most folks everywhere throughout the world right now. Apart from some work via remote working, I have been working on small projects to keep myself occupied. I saw many posts on automatic hand sanitizer dispenser being shared online past few weeks. The idea is have a system that can detect a person hand as he/she place it at the nozzle of the hand sanitizer container, and discharge the content automatically, thus avoiding hand contact with the hand sanitizer level to minimize the transfer of the virus or other pathogens to our hand.

Please click here for further details.

Project Leader: Prof. Fabian Kung Wai Lee
Date: April 2020

V2T2A: Experimental Mini Two-Wheels Robot with Humanoid Torso

We designed and build this mini agile robot as part of our efforts in robotics and artificial intelligence research. It is kept small to reduce the cost and built time. Besides, there is less safety issue with small machine.

Project Leader: Prof. Fabian Kung Wai Lee
Date: February 2020

V2P2 Seeks Color Ball Demo

This video shows the preliminary result of the V2P2 (also called the EB2) two-wheels self-balancing robot (https://youtu.be/93tGFhFK1r4) with head unit, navigating and searching for a color object at the same time. The head unit contains a camera with image processor, and another micro-controller which regulates high level behavior and goals. Please see: http://digital.mmu.edu.my/intelligent… for more details.

Project Leader: Prof. Fabian Kung Wai Lee
Date: August 2019

Introducing EB2 Beta Two-Wheels Mobile Robotic Platform

This can be considered a toy, but actually is a small two-wheels robotic platform. To keep the cost down we start with a small version. This version weights 0.24 kg, and larger versions (1.0 kg and perhaps 3.0 kg) are in the pipeline. By platform it means this is not a complete product, but you need to add some extra ‘stuffs’ to make it complete. It is a platform where others can build on top of it. This is a two-wheel self-balancing base, it can support a few small RC servo motors, has a Bluetooth wireless interface, and contains a physical port that can communicate and supply power (5V, 0.20A) to external circuitry or processors. When connected to external processors, this robot platform acts as a slave, listening and responding to the commands from the external processor. Your external processor/controller thus acts as the ‘brain’ of the robot, which you can execute your own AI routines.

Project Leader: Prof. Fabian Kung Wai Lee
Date: March 2019

2021-2022
Versatile Mobile Robot Monitor Software

This video describes the software I used to monitor and control my mobile robots via wireless link as seen in earlier videos. It has multiple displays for sensors data, similar to Arduino IDE Serial Plotter tool. It’s a versatile software written using Visual Basic .NET and can be customized to various types of robots. I initially started writing this software back in 2003 to control my bipedal robot (https://youtu.be/7lf1ISMQg9I). Over the years I have added more features and improve the efficiency, stability and portability of the codes, the result is what is seen in this version.

Project Leader: Prof. Fabian Kung Wai Lee
Date: April 2022

FPGA-based Communication Signal Generator

This is a short tutorial on OFDM (Orthogonal Frequency Domain Multiplexing) signalling. OFDM method is widely used in WLAN (WiFi) and 4G wireless communications, and most probably future 5G systems. OFDM is a method that uses multiple carriers (e.g. sine waves) to transport information or data, and these carriers are harmonically related, hence the term ‘orthogonal’ because sine waves with such frequencies are orthogonal when we integrate their product. In this project, the OFDM signals are generated using a custom design hardware as shown in the picture. The hardware is actually a training kit we designed to teach basic digital and analog communication principles using a single carrier. So recently we reprogrammed the hardware to also generate multiple carriers to support OFDM signalling.

Project Leader: Prof. Fabian Kung Wai Lee
Date: December 2021

Vehicle Type Recognition in Nighttime Scene

Intelligent Transportation System (ITS) has become an often-mentioned topic as it is outlined as one of the pillars to establish smart city concept. Vehicle type recognition plays a vital role in Intelligent Transportation System, which aims to enhance traffic efficiency, implement innovative traffic management and minimize traffic accident.

FYP Student: Willy Liew Wen How
Project Supervisor: Mr. Mohd Haris Lye Abdullah
Date: December 2021

Weapon Detection in Surveillance Videos using Deep Neural Networks

The proposed method is using a deep learning architecture such as YOLOv3 to achieve a good performance in accuracy and speed in order to detect a dangerous weapon in real-time application. YOLOv3 will make a prediction that contain dangerous weapon such as knife and pistol inside video frames.

FYP Student: Muhammad Ekmal Eiman Quyyum Bin Mohamad
Project Supervisor: Mr. Mohd Haris Lye Abdullah
Date: December 2021

Deep Learning-based Prediction Model to Reduce Grain Damage and Energy Wastage in Agroindustry

A Long Short-Term Memory (LSTM) based prediction model that tracks the grain moisture content (MC) level throughout the drying process to control the stopping time of an industrial inclined bed dryer (IBD). When evaluated against the validation dataset, MC value prediction from 2 hours to 10 hours ahead of time, with an RMSE of just 1.5 units. The optimum drying time provided by the prediction model eventually forms a practical agriculture solution that helps the agroindustry operators to avoid excess energy consumption and manage manpower efficiently for the unloading process while preserving the final quality of dried grain.

FYP Student: Lok Jia Jun
Project Supervisor: Dr. Tan Wooi Nee
Date: November 2021

Wearable Health Monitoring System

IoT health monitoring system will be utilizing Long Range Wide Area Network (LoRaWAN) technology to allow visualization of health statuses such as vital signs (temperature and heart rate) and body movement (falling actions) that can be monitored by physicians and alert systems for the physicians if the system detects any falling actions benefiting in terms of low consumption of power and the distance of communication range.

FYP Student: D N Ezridah Binti D N Esham
Project Supervisor: Dr Tan Wooi Haw
Date: October 2021

2019-2020
Prototype of A Driving Simulator

With the Covid-19 Pandemic, education took a turn from real life class session to virtual sessions online. This gave an opportunity for immersive learning to be used and grow as a usable educational platform, but how effective is immersive learning? A FYP was done to design and develop a prototype of a driving simulator and was experimented with conventional methods to study the learning efficiency between the driving simulator and conventional method (printed materials). The simulator prototype is designed based on the Malaysian Ministry of Transport Standardised License Exam Textbook.

FYP Student: Tyler Cheng
Project Supervisor: Dr. Chin Ji Jian
Date: October 2020

Products Design Using Piezoelectric Sensors

Capstone Project Student: Abdulla Mubaah & Iskandar Zulkarnain Bin Jafriz
Project Supervisor: Dr. Sin Yew Keong
Date: October 2020

Piano Learning Device

Capstone Project Student: Ahmad Hafiz Bin Mohd. Jamil & Hanafi bin Shamsul Irwan
Project Supervisor: Dr. Sin Yew Keong
Date: October 2020

Application of Piezoelectric in Hospital Bed

Capstone Project Student: Abdusame Omran N Berish & Fayzatul Ashmera Bt Merdan
Project Supervisor: Dr. Sin Yew Keong
Date: October 2020

IoT Interactive Kiosk

Have you ever imagined multimedia university campus library with smart lockers? Instead of the traditional lockers available in the library and your belongings get lost or stolen. Have you ever imagined a smart locker where you can access to it with your fingerprint and entering your credentials? Today a new project is proposed where it provides a smart locker system, where you can place your belongings in a safe secure place. The kiosk requires you to enter your full name, ID, mobile phone and scan your fingerprint. After keying in your data, the locker is reserved for you till you pick up your belongings again.

FYP Student: Omar Ayman Mohamed Aboelala
Project Supervisor: Dr. Lee It Ee, Dr. Chung Gwo Chin
Date: September 2020

Activities Tracking System

The elderly population is experiencing high growth in most of the countries. Today, 8.5% of the total population worldwide is aged 65 and above. Most of the elderly preferred to stay at home most of the time. Due to a limited movement within the household, many of them engaged in only a few physical activities. According to the World Health Organisation (WHO) tracking physical activity of a person confined to home can attribute to a reduction of high blood pressure and weight as well as reduce risks of heart disease, stroke, type 2 diabetes and various types of cancer. In view of this, one of the research centre (Digital Home and lifestyle centre) in the Faculty of Engineering, MMU has initiated a project to develop a wearable tracking device to track physical activities and indoor position.

Please click here for further details.

Project Leader: Dr. Ooi Chee Pun
Date: May 2020

Medical Adherence System and Walker

Project developed by Digital Home and Lifestyle Centre, MMU

Project Leader: Dr. Ooi Chee Pun
Date: May 2020

Automatic Hand Sanitizer Dispenser

As I am writing this, the location that I am residing in is under partial lock down due to the Covid-19 pandemic. Thus I have been confined to home like most folks everywhere throughout the world right now. Apart from some work via remote working, I have been working on small projects to keep myself occupied. I saw many posts on automatic hand sanitizer dispenser being shared online past few weeks. The idea is have a system that can detect a person hand as he/she place it at the nozzle of the hand sanitizer container, and discharge the content automatically, thus avoiding hand contact with the hand sanitizer level to minimize the transfer of the virus or other pathogens to our hand.

Please click here for further details.

Project Leader: Prof. Fabian Kung Wai Lee
Date: April 2020

V2T2A: Experimental Mini Two-Wheels Robot with Humanoid Torso

We designed and build this mini agile robot as part of our efforts in robotics and artificial intelligence research. It is kept small to reduce the cost and built time. Besides, there is less safety issue with small machine.

Project Leader: Prof. Fabian Kung Wai Lee
Date: February 2020

V2P2 Seeks Color Ball Demo

This video shows the preliminary result of the V2P2 (also called the EB2) two-wheels self-balancing robot (https://youtu.be/93tGFhFK1r4) with head unit, navigating and searching for a color object at the same time. The head unit contains a camera with image processor, and another micro-controller which regulates high level behavior and goals. Please see: http://digital.mmu.edu.my/intelligent… for more details.

Project Leader: Prof. Fabian Kung Wai Lee
Date: August 2019

Introducing EB2 Beta Two-Wheels Mobile Robotic Platform

This can be considered a toy, but actually is a small two-wheels robotic platform. To keep the cost down we start with a small version. This version weights 0.24 kg, and larger versions (1.0 kg and perhaps 3.0 kg) are in the pipeline. By platform it means this is not a complete product, but you need to add some extra ‘stuffs’ to make it complete. It is a platform where others can build on top of it. This is a two-wheel self-balancing base, it can support a few small RC servo motors, has a Bluetooth wireless interface, and contains a physical port that can communicate and supply power (5V, 0.20A) to external circuitry or processors. When connected to external processors, this robot platform acts as a slave, listening and responding to the commands from the external processor. Your external processor/controller thus acts as the ‘brain’ of the robot, which you can execute your own AI routines.

Project Leader: Prof. Fabian Kung Wai Lee
Date: March 2019