Electrical and Electronic Engineering

Quantum Demonstrator Kit @ 5th Inno Show

The Quantum Demonstration Kit (QDK) is a playful interactive and gamified version of a quantum physics experimental setup, designed to demonstrate key concepts of quantum mechanics to young beginner students to enhance their overall understanding of the subject. The key novelty of our product design, is that it is portable, cost-effective, and simple enough to be operated by young undergraduate/school students independently themselves. On the contrary, quantum physics setups routinely used in research labs are bulky, expensive and extremely complicated, making them unsuitable to be used for hands-on laboratory based education for beginners to this field.

PERfECT Wearables: A Coin-sized Platform for Health Innovation @ 5th Inno Show

Tiny, soft, imperceptible wearable biosensors that can continuously monitor our body condition have the potential to revolutionize healthcare technologies. They are in urgent demand to realize the goal of personalized healthcare and digital medicine. In this project, we developed a series of next-generation wearable biosensors for advanced healthcare. These futuristic devices are developed based on the PERfECT chip, which is the world’s smallest wearable biosensing platform developed in Innovation Wing. In the next several years, we expect these wearables biosensors will help PERfECT-enabled spin-off biotech companies to revolutionize our current technologies in managing cardiovascular diseases, mental health, and diabetes.

Drones for the purpose of Long Distance Wireless Communication based on LoRa

The main purpose of this project is to develop a cost-effective surveillance and rescue drone with a longer flying time and long-range data transmission through a careful selection of industrial quality low-cost components. Our target customers are disaster relief teams which can use the drone for assistance in rescue operations through surveillance and human detection.
The drone has the following functionality:
i) Human Detection Capabilities through PIR Sensing
ii) LoRa communication channel for transmitting human detection signals back to rescue teams
iii) Auto-Level Feature to ensure stability in turbulent weather conditions
A first prototype has been developed with all the necessary functionality and is 40% cheaper than available solutions.
Our goals for the next prototype are: i) Reduce weight to improve performance ii) Design a custom PCB to make design more compact.

Drawing Robot and Selfie Smart Phone App

For the current drawing robot products, the users use the various apps to do the image processing and Bluetooth transmission, the operation is inconvenient and complicated. For improving user experience, there is a mobile app called “Drawing Robot Controller” is developed. Users can use the mobile app to achieve a basic moving control function and image drawing function via clicking the buttons on the app. Unlike the “Printer”, the drawing robot should be “Painter” after integrating with the mobile app. The robot can draw what the user wants in different places with different styles via this app.

Game app for pick and place 3D printed robotic arm

This project proposed to build up a “Compact AlphaGo”. For the software part, an Android chess game application was developed by Flutter with a Flask image processing server which was developed by Python. The Minimax Algorithm and Alpha-Beta Pruning constructed a “brain” to the AI which is embedded inside the Android app. A robotic arm with a chess stacker was built by the 3D modeling software AutoCAD, the cheeses were grasped by the robotic arm precisely and placed on the correct grid of the chessboard.

Augmented Reality in Teaching and Learning

A common difficulty for beginner programmers is the concept of objects and references, which is more apparent when learning Python, which hides these concepts with simple semantics. This project is a mobile application that aims to use AR visualization to teach this concept, using some data types in Python. The user is able to execute supported Python statements and view an AR animation visualizing the components involved and the underlying operation. Their behavior are shown using their AR models and animations. Sandbox mode and exercise mode are available for user to explore on their own or follow exercises that showcase the properties of the data types. With the help of this application, the user can understand the concept of object and reference more clearly.

AI Catering System with Jetson Nano

This project is to design an AI catering system for automating the tedious tasks by using jetson nano and robot in order to reduce the operating costs and increase efficiency of the restaurant operation. In this project, three AI robot: Tableware classification robot, Tray collection Jetbot and Trash collection Jetbot are developed. The robots are operated by Nvidia Jetson Nano computer, a computer specialized for AI development. The robots can reduce the long queuing time for ordering and food collection, messy dirty dishes and wastes lead to high workload on dish washing, unpopular food waste collection mechanisms and floor trash recycle in a restaurant. A demo restaurant is built in this project.

Fire Evacuation Assistance Robot

How occupants can evacuate during emergency in High-Rise building has raised different engineer’s concern since last century. The aim of this project is to develop an autonomous robot that assists the emergency evacuation of the disability and injuries in the Temporary Refuge Space and Refuge Floor. The immediate assistance is a combination of urgent medicine delivery, remotely monitor of patient’s status (from face expression judge the urgency) and task assignment from the building management office. The robot is designed to work with other smart cities system like SCADA and Building Management System (BMS) under Artificial Intelligence & Internet of Things Internet Of Thing (AIoT) network, so that the building management can access, monitor, and control the robot from anywhere in the world.

HKU Racing 2020

Formula Student UK is an educational engineering competition. The competition aims to develop enterprising and innovative young engineers and encourage more young people to take up a career in engineering. Formula Student UK 2020 will be held at Silverstone Circuit, Towcester, UK. HKU team will join the Electric Vehicles Class 1 Division competition.