The 9th Engineering Inno Show

Transform Imagination into Reality

  • Date: April 26, 2024 (Friday), 2:00pm – 5:00pm
  • Venue: Tam Wing Fan Innovation Wing One
  • Award ceremony at 4:30pm
Important dates

Important dates for showcasing teams

Date Task
12:00nn, Apr 17, 2024 (Wednesday)
Deadline of application
2:00pm, Apr 26, 2024 (Friday)
Project teams come back to Innovation Wing for a live demo with your prototype
Inno Show Award judging (Face to face in Inno Wing)
4:30pm, Apr 26, 2024 (Friday)
Award presentation ceremony
The Super "GOOD JOB!" Project Award

The Super "GOOD JOB!" Project Award

Selected by voting by participants.

  • All participants will be given one “GOOD JOB!” badge when they visit the Engineering InnoShow. They can vote for the best project by giving the project team their “GOOD JOB!” badge.

The project team with the most number of “GOOD JOB!” votes by 4:15pm on April 26, 2024 (Friday) wins and will receive a gift prepared by the Innovation Wing in the award ceremony :-).

The Inno Show Award

Inno Show Award:  Selected by a professional judging team.  To encourage students to develop innovative mindset in tackling engineering and social problems, and to support outstanding ideas to join international design competitions, the Dean’s Innovation and Entrepreneurship Fund will appropriate an amount of HK$100K to support a maximum of five student teams participated in the Inno Show to take part in international design competitions.

A panel to be chaired by the Associate Dean of Engineering (RPg) will select the winning teams from the Inno Show to be held at the end of semester 2, 2023-2024, based on the design put forward by the students, and their presentation during the Inno Show.

Judging criteria

  • Importance of the Engineering / Social problem
  • Innovation of the proposed idea
  • Quality of the proposed solution
  • Technical depth
  • Project impact
  • Potential for further development

Judging time

  • April 24, 2024, Friday, 2:00pm – 4:15pm
The Judging team

To be announced.

Dr. Zulfiqar ALI
Judge
Inno Show Award
Department of Mechanical Engineering
Prof. Lawrence K. YEUNG
Chairman of Judge team
Inno Show Award
Associate Dean of Engineering (RPg)
Prof. Karen M.K. CHAN
Judge
Inno Show Award
Academic Champion
Faculty of Education
Prof. Ka Ho CHOW
Judge
Inno Show Award
Department of Computer Science
Prof. Chao HUANG
Judge
Inno Show Award
Department of Computer Science
Prof. Jintao KE
Judge
Inno Show Award
Department of Civil Engineering
Dr. Victor C.S. LEE
Judge
Inno Show Award
Department of Electrical and Electronic Engineering
Dr. Albert T.L. LEE
Judge
Inno Show Award
Department of Electrical and Electronic Engineering
Prof. Peng LU
Judge
Inno Show Award
Department of Mechanical Engineering
Prof James K.H. TSOI
Judge
Inno Show Award
Academic Champion
Faculty of Dentistry
Highlight of the 9th Engineering Inno Show
About Engineering Inno Show

The Engineering Inno Show is a showcase carnival that celebrates innovative Engineering student projects at the end of every semester. Participating students will have the opportunity to expound on their inventive design, research and projects; harness timely and constructive feedback given by peers, teachers, industry experts and the public through knowledge exchange; and spin talent and ideas into innovative (re)inventions. There are many reasons why Engineering Inno Show is a unique concoction of its missions and vision. We offer a vibrant, inter/multi-disciplinary and hands-on learning platform for students to create their own impact, in and out of the classroom. The showcases also paint junior fellows a concrete picture of what constitutes an exemplary work and open pathways for them to look at Engineering through the lens of their senior cohorts. We believe that Engineering united with hands-on experience is essential. It is our vision to inspire a generation of intrepid explorers and committed collaborators. At Engineering Inno Show, we are transmitting knowledge and values through narrative. Whether it is communicated in layman’s terms or field-specific terminologies, we hope that the seeds of creative minds will germinate and thrive.

Inno Wing Student Research Assistant Projects

CLIC-Chat

CLIC-Chat is an innovative AI chat tool designed to provide reliable and up-to-date legal assistance with a focus on Hong Kong law. Unlike other chat tools, CLIC-Chat boasts a comprehensive HK knowledge database, ensuring accurate responses tailored to the local context. By leveraging the RAG technique, it guarantees trustworthy information while staying current with the latest legal developments. One of its standout features is the ability to ask valuable questions, akin to a skilled lawyer, to gather essential details from users’ stories. This enables CLIC-Chat to provide personalized legal guidance and suggestions, knowing precisely when to stop questioning and offer relevant insights. With CLIC-Chat, users can confidently navigate legal matters, receive accurate information, and make informed decisions.

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Winners of Inno Show Award

We are excited to announce that the 9th Engineering Inno Show was successfully held on Apr 26, 2024. A total of 25 student projects from 5 departments and InnoHub members were showcased in the event. The teams have done an excellent job in preparing the event and presenting their work to classmates, teachers, and visitors. Please join us in congratulating the following five projects for receiving the Inno Show Awards:

Electrical and Electronic Engineering

Quantum Education Society @ 9th Inno Show

We seeks to transform quantum physics education through the creation of an innovative curriculum that prioritizes experiential learning and practical engagement. The Innow Show offers a unique platform that aligns perfectly with our project’s goals of enhancing quantum physics education through experiential learning. By incorporating practical experiences and demonstration kits, our goal is to empower students with a profound understanding of quantum technology, effectively preparing them for future opportunities in this burgeoning field.

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Inno Wing Student Research Assistant Projects

Project Innobot: Autonomous Rover

Auto-piloting is an evolving technology that significantly contributes to enhancing production efficiency across industries. The development of navigation rovers enables automated, high-loading point-to-point delivery tasks, reducing the reliance on traditional manpower and decreasing the risk of physical injuries among workers. Our team is committed to cultivating expertise in the field of navigation and sharing our experiences in creating navigation robots with the broader robotics community.

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Electrical and Electronic Engineering

Trash Collection Patrol Bot

Our project is an automatic rubbish disposal car. which is divided into 4 parts.The whole system is operated under the link between a computer and the vehicle, through this link, the computer can sketch the environment and calculate both position and posture of the vehicle, giving the car instructions on movements. The radar module is for outlining​ the surrounding environment. The AI recognition module allows the car to label the spitball that the camera captured, this allows it to find the spitball we wish to throw away. The Robotic Arm module is responsible for grabbing the object and throwing it into the Smart Bin. The Smart Bin should be able to open up automatically when the arm grabs the target as well as when someone’s hand is close to the bin.

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Mechanical Engineering

Beach Cleaning Robot

With the increasing concern about environmental pollution, particularly in coastal areas, the need for effective beach cleaning solutions has become paramount. This project aims to design and develop an unmanned beach cleaning robot capable of efficiently removing litter and maintaining the cleanliness of sandy shorelines. The successful execution of this initiative holds the potential to completely transform beach cleaning procedures in Hong Kong, actively contributing to environmental preservation, while simultaneously fostering greater awareness and involvement in maintaining the cleanliness of our coastlines.

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Projects in the show

There are 30 projects in the show, details to be announced.

Faculty of Social Sciences

Float: Message in a Bottle to Connect With Locals Worldwide

Float aims to enhance cultural immersion by connecting travellers with local natives worldwide through a gamified ‘Message in a Bottle’ feature. Float serves as a cultural compass — whether it’s for assembling a futon in a Japanese Ryokan or gaining trustworthy insights while traversing India. By integrating AI with human expertise, Float provides instant reliable translations, encouraging cultural understanding and user engagement through features like polls and threads, connecting learners with native speakers for a genuine exchange of language and culture.

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Faculty of Social Sciences

Generative AI & 3D Avatar

Content creators face challenges in maintaining active engagement due to time constraints and increasing audience sizes, which make personalized interactions difficult. Current platforms like Discord and Twitch require direct creator involvement, making scalability a challenge. Our solution, iVatar, is a web and mobile application that utilizes AI and customizable avatars to enhance audience interaction. It allows creators to design avatars that can independently communicate using the creator’s voice and style. These avatars can operate on multiple platforms, offering a wider reach. iVatar also features an interactive chat dashboard for managing the chatbot’s knowledge base and includes voice cloning for more engaging conversations. Content creators retain full ownership and control over their chatbots, ensuring personalized and interactive communication.

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Faculty of Engineering

Project Matchbox

Project Matchbox aims to recycle old keyboards into DIY controller kits for children. By putting together their own Matchbox controller, kids learn about breadboards, switches, and other basic electronics. This project is perfect for introducing complete beginners to the world of hardware engineering due to its simple design and affordable price point. Since we are using recycled keyboards and many common components, we can keep the cost of production low, making this educational STEM material accessible.

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Computer Science

NeuroHarbor

Epilepsy, affecting over 70 million individuals worldwide, can cause significant physical injuries and psychosocial isolation. Epileptic seizures often incapacitate patients’ movement, making everyday activities potentially perilous, even fatal. The accurate and rapid detection of seizure onsets is vital for improving patients’ quality of life. Furthermore, traditional EEG diagnosis requires patients to remain bedridden, tethered by a wired headset until a seizure occurs. This process is disruptive, calling for a compact, wearable, and clinical-grade EEG headset that empowers mobility and real-time seizure monitoring.
We are poised to deliver this solution with an AI-powered wearable EEG headset. This innovative device, equipped with a proprietary AI model, facilitates real-time computing and rapid seizure detection. It ensures minimal latency, lower power consumption, compact design, and robust privacy, outpacing traditional systems. This technology liberates patients from wired, bed-restricted EEG setups, significantly enhancing their quality of life.

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Computer Science

Talk Your Way Out: A Puzzle Game Demo with LLM NPC

Talk Your Way Out, a game demo demonstrating the capabilities of AI in gameplay and storytelling. Talk with non-player characters (NPCs) to solve puzzles and find a way to escape. The game uses large language models, speech recognition and text-to-speech to provide dynamic, natural, and quick conversations with the NPCs, demonstrating capabilities of AI in simulated environments.

You are an alien named Blorb Gorb, you woke up finding yourself captured by scientists of the Earth in a laboratory somewhere in Hong Kong. You have to escape, not just using brute forces, but also your disguise ability…

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Faculty of Architecture

Airring for construction workers @ 9th Inno Show

Our project is dedicated to developing protective wearables to combat future environmental conditions and climate events, proposing a sustainable living style. Our current project focuses on a cooling additive for construction safety hats, which provides a practical solution to keep temperatures down for workers in adverse site conditions exacerbated by global warming. This directly addresses the sustainability challenge of ensuring worker health and productivity in the face of rising temperatures in the built environment.

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Computer Science

An AI-Powered Virtual Diet Assistant App – FoodPrint

Ready to embrace a healthy lifestyle but don’t know where to start? Thinking about fasting but never being able to persist? Don’t worry, we have the solution for you! FoodPrint is here to guide you every step of the way—your virtual diet assistant who keeps track of everything you eat and provides you with the best customized advice before starting a new meal. Powered by the latest research from Prof. Chair and her team at CUHK, FoodPrint adopts the 16/8 intermittent fasting method, which has been examined as one of the most effective approaches in alleviating overweight and reducing cardiometabolic risks. With FoodPrint, you can experience the convenience of a dynamic fasting timer, an image-based calorie calculator, a comprehensive diet and weight tracker, and a personalized LLM-powered chatbot diet instructor. Get ready to transform your eating habits and achieve your wellness goals with FoodPrint!

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Computer Science

UNIFIGHT – A University Mobile Game

When we were asked to make a game in COMP3329, we wanted to make one that could make university life more engaging, and create motivation for students to go to campus to attend classes. We first design a U-life-related story plot, with a dozen of unique and special playable characters that have beautiful graphics. Then we create a simple battle mechanism and different skill set for every character to make the game. Moreover, we take inspiration from Pokemon GO, where players can travel around to receive rewards only in University Areas. We also plan to make PVP functions, including letting different universities compete together.

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Electrical and Electronic Engineering

High-fidelity Stereo Imaging Depth Estimation for Metaverse Devices

This project is about high-fidelity stereo RGBD imaging for Metaverse devices.
This work proposes to design and realize a fast and accurate 3D imaging architecture that Metaverse VR headsets can leverage. Different from the previous imaging framework, we use the prior of optical encoding, and joint optimization structure in deep optics to explore a new and improved framework for high-resolution RGBD imaging. A state-of-the-art stereo-matching algorithm is explored with jointly optimized lenses and an image recovery network. Coventional imaging algorithms consider only the post processing of captured images, which is less fleasible and with high computational complexity. Our deep stereo depth estimation integrates the optical preprossessing and encoding into the advanced decoding neural networks to achieve a higher accuracy of RGBD imaging with higher resolution. It fully utilizes the information obtained from the stereo camera with a pair of asymmetric lens in a Metaverse device to achieve a more extended depth range of all-in-focus imaging.

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Computer Science

Human Activity Detection in VR Scenario

Develop a VR-Based Motion Capture System: Create a robust and accurate motion capture system to track and record users’ movements in real-time within the VR environment. To collect data for the later machine learning model training and testing.
Machine Learning Model and Algorithm design for Behavior Detection: Construct a combined system of suitable computer vision models to detect and analysis human activity in VR Scenario. Multi-models will be involved in this system, and an algorithm will be designed to help the system predict activities based on the predictions from those models, e.g. Voting Classifiers.
Real-Time Feedback and User Interaction: Integrate the behavior detection model with the VR environment to offer real-time feedback to users based on their actions and interactions, enhancing immersion and user engagement.

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Computer Science

Transknight

We implemented a 2D platformer game with creative character controls, high quality sets of enemies and maps design, and a complete game play process that can give players satisfaction and sense of achievement when they defeat enemies, solve puzzles, and clear the game. Our main character is a druid-like knight that can transform into 3 other different animals, each with unique skillsets and playing style. Across 5 different levels, players are going to encounter varied types of enemies, defeating them and unlocking new power. After defeating the final boss and clearing all the levels, you will become the savior of the land and the true hero for the people.

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Inno Wing Student Research Assistant Projects

AI Agent: Moot Court Project

Our AI Agent Moot Court Project is an innovative exploration into the application of artificial intelligence within the legal realm. We use AI agents to assume the roles of Plaintiff, Defendant, and Judge, engaging in the intricacies of legal reasoning and debate. This project endeavors to construct a sophisticated conversational system with multi-agent capabilities, paving the way for a comprehensive analysis of the agents’ performance within a moot court environment. By addressing challenges such as contextual limitations and exploring topics like multi-step prompting, the project aims to assess the feasibility of integrating AI in the field of law.

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Electrical and Electronic Engineering

Towards Real-time 3D Neural Holography for Near-eye Display

Holography plays a vital role in the advancement of virtual reality (VR) and augmented reality (AR) display technologies. Its ability to create realistic three-dimensional (3D) imagery is crucial for providing immersive experiences to users. However, existing computer-generated holography (CGH) algorithms used in these technologies are either slow or not 3D-compatible. In this project, we explore four inverse neural network architectures to overcome these issues for real time and 3D applications

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Inno Wing Student Research Assistant Projects

Project Innobot: Multi-terrain Hexapod

Traditional wheeled robots often encounter challenges when navigating level or complex terrains. To address this real-world issue, our team presents the Multi-terrain Hexapod as a solution. Inspired by the spider’s structure, our Hexapod’s multi-legged design has demonstrated the ability to climb stairs and tackle more intricate terrains. Through this project, we aim to build a comprehensive understanding of legged robots and share our experience in developing the hexapod with the wider robotics community.

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Inno Wing Student Research Assistant Projects

Armstrong: Robotic Arm Digital Twin

Robotic arms have been widely used in various real-world scenarios, such as automobile manufacturing and housekeeping. However, there is a significant gap at the Innovation Wing, as existing robotics-focused projects mainly focus on mobile robots or quadrupeds. To address this gap, our project aims to develop an intelligent manipulator capable of performing precise tasks like maintenance and part sorting in industrial settings.

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LKS Faculty of Medicine

The Impact of ChatGPT on Problem-Based Learning in Medical Education: A Comparative Study on an Anaphylaxis Tutorial

Generative AI, such as ChatGPT provides many promises, yet its role in medical education remains unclear and controversial. To evaluate the impact of adopting ChatGPT in medical education, we developed a pilot randomised controlled trial to evaluate the impact of ChatGPT on medical students ability to achieve learning outcomes in a problem-based learning (PBL) tutorial on anaphylaxis. We then evaluated the ability of GPT-3.5 and GPT-4.0 to achieve the learning outcomes in the PBL case. Results showed that students who used ChatGPT achieve the learning outcomes better, and GPT-3.5 and GPT-4.0 models of ChatGPT could achieve the PBL learning outcomes with minimal prompting. Nevertheless, the adoption of ChatGPT could also hinder the development of clinical reasoning skills.

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Inno Wing Student Research Assistant Projects

Real-time object detection with Grounding Dino

Grounding Dino is an innovative computer vision library designed to enhance object detection and scene understanding through advanced grounding techniques. It combines computer vision and natural language processing techniques to integrate contextual understanding in machine learning models, improving their accuracy and efficiency in real-world applications. We will showcase some of the strengths and weaknesses of this very powerful tool during this incoming Inno Show!

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Industrial and Manufacturing Systems Engineering

Breathing in Virtual World

This project looks into VR’s potential as a Chinese language learning tool for students whose first language is other than Chinese. Particularly, the study focuses on the efficiency of VR based educational games to raise Hong Kong’s non-Chinese local secondary school students’ confidence in interacting in Chinese and using it for common daily tasks. The project is done in collaboration with IBEL – a center that provides educational support to underprivileged non-Chinese Speaking (NCS) communities in Hong Kong.

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Industrial and Manufacturing Systems Engineering

Ergonomic Integrated Management System for 3D Printers @ 9th Inno Show

Our approach involves leveraging the power of a language model, specifically the LLM (Large Language Model), to interpret and understand verbal commands. We tuned the LLM on a dataset of 3D printing-related instructions and implemented a robust natural language processing system to accurately recognize and execute user commands, ensuring seamless interaction with the 3D printer.

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Computer Science

Sicarius

Sicarius is a fast-paced, top-down shooting game. Set in the post-apocalyptic world, you have control over a spider to defeat the killer robots and retrieve the Tree of Life.

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Coming soon 🙂
Useful links
The 8th Engineering Inno Show
The 7th Engineering Inno Show
The 6th Engineering Inno Show
The 5th Engineering Inno Show
The 4th Engineering Inno Show
The 3rd Engineering Inno Show
The 2nd Engineering Inno Show
The 1st Engineering Inno Show