Together, we innovate!
- Date: April 28, 2023 (Friday), 2:00pm – 5:00pm
- Venue: Tam Wing Fan Innovation Wing One
- Award ceremony at 4:30pm
Important dates for showcasing teams
| Date | Task |
|---|---|
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12:00nn, Apr 19, 2023 (Wednesday) |
Deadline of application |
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2:00pm, Apr 28, 2023 (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) |
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4:30pm, Apr 28, 2023 (Friday) |
Award presentation ceremony
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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 28, 2023 (Friday) wins and will receive a gift prepared by the Innovation Wing in the award ceremony :-).
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 InnoShow to take part in international design competitions.
A panel to be chaired by the Associate Dean of Engineering (Student Enrichment) will select the winning teams from the Inno Show to be held at the end of semester 2, 2022-2023, 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 28, 2023, Friday, 2:00pm – 4:15pm
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.
We are excited to announce that the 8th Engineering Inno Show was successfully held on Apr 28, 2023. A total of 28 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:
Scavenger 01_Automatic ping pong collector
SCAVENGER-01 uses AI and computer vision to perform object detection and pick up ping pong balls, without interrupting athletes’ training.
It saves time, improves training efficiency, and prevents injuries.
It can be deployed in ping pong arenas, ideal for ping pong training centres, schools, colleges, clubs, and home settings. Where the robot will pick up the ping pong balls while athletes can focus on their training.
SCAVENGER-01 is a prototype, in the future, we plan to deploy a human avoidance algorithm to avoid colliding into the path of athletes, improve the routing algorithm so it can effectively go through the entire map/arena, and automatic wireless charging so the unmanned robot can head to the wireless charging station for automatic recharging.
BREED HKU Agile Robotic Fish with 3D Manoeuvrability for Open Water Swim @ 8th Inno Show
Our robotic fish swimming across the harbour from Central to TST will prove its applicability in seawater. Along with its prior speed record and additional features, it is beneficial to society because its biomimicry nature doesn’t interfere with marine life like other technology automation such as boats or submarines. Compared to the previous model, it is much more energy efficient, less polluting, constructed with less material, and thus environmentally friendly.
LEAPS(local environment alliance project series)
Our project aims at solving existing local environmental issues from different aspects. Last year, we focused on the local aquatic environment. Dealing with the problem of Antimicrobial resistance (AMR) affecting the local fish industry. We designed a transgenic AMP-expressing microalgae fish feed supplement that can deliver passive immunity and nutrition to fish in aqua systems plagued with AMR. This year, we continue our project by focusing on lithium ion waste. We propose bioleaching as an alternative to the current recycling methods, which both enhances the recovery rate and also reduces the leaching of toxic reagents leading to soil and water acidification.
Designing solutions for construction workers against global warming @ 8th Inno Show
We are a group of passionate undergraduates interested in designing a cooling accessory
that is tailor-made for the construction site. We hope to promote a better working
lifestyle for the 580,000 construction workers in HK under global warming, as well as
address awareness about outdoor labour safety.
This project combats global warming with ergonomics studies, aerodynamics and
electronics engineering. We also plan to integrate the accessory with thermal sensors and
IoT systems.
There are 30 projects in the show, details to be announced.
Simulation and big data analytics for on-demand ride-hailing services
Advances in technology and the popularisation of mobile phones have enabled ride-hailing services to emerge and heighten their market penetration in the transportation industry. Along with the Hong Kong government’s vision to develop smart mobility, a review of the current outdated policies regulating taxis and ride-hailing services is essential for developing a sustainable, efficient, and environmentally friendly on-demand transportation service. The main goal of the study is to recommend policies and operating strategies to assist in developing ride-hailing services in Hong Kong. This study uses a simulation platform to undergo sensitivity analysis for policies and operating strategies for ride-hailing services.
A Low-cost DIY Wind Tunnel
In this wind tunnel project, we attempted to bridge the affordability and availability gap issue of wind tunnels that are catered to undergraduate teaching & learning and research & development purposes. We first adapted and applied a robust methodology which underpinned how we designed, manufactured, and operated our wind tunnel. A series of wind tunnel tests were then conducted to validate the wind tunnel’s performance from three perspective: quantitative, qualitative, and actual real-world references. Our findings showed us that we achieved a satisfactory wind tunnel performance in all three categories of wind tunnel tests. It is firmly believed that this, and hence this type of wind tunnels, albeit being created under a budget constraint, could be utilized to handle aerodynamic and fluid dynamic studies, which ultimately could be further developed to meet the needs of different undergraduate applications (SIGs, URFP, REU, FYPs, Labs, etc.).
Bomber
BOMBER is a Strategy base 3D online 1v1 multiplayer Grenade-only FPS game. We aim to let people who are bad at aiming, also able to have fun in FPS games. This game contains 3 types of grenades, they are cracker, remote, and gas grenades; and 2 self-protection mechanisms, which are barrier and dash. The game design encourages players to win the game by hiding their remote grenades, then using cracker and gas grenades to force their enemy, to walk into the remote grenades’ explosion radius. The way to win is how well you can lead and predict where your enemy goes.
Deadline Fighter
Deadline Fighter, a Unity 3D Game designed for COMP3329, is a First-person Shooter game that puts you in the shoes of a lone survivor in post-apocalyptic Hong Kong. You must use your wits and skills to fend off the relentless zombie attacks and expand your safe zone by clearing out the infected areas. Purchase powerful weapons that will help you boost your firepower and survive longer. Deadline Fighter features immersive gun play mechanics as well as advanced zombie AI movement that makes the enemies unpredictable and challenging. Deadline Fighter offers a thrilling and exhilarating gaming experience through the immersive gun play mechanics and advanced zombie AI movement.
SLAM robot with monocular depth estimation
This project aim to construct a robot using SLAM and a monocular camera for both SLAM and depth estimates. The system will be able to map the environment correctly and robustly, determining the robot’s location and orientation inside it. The robot can then estimate the depth using a deep learning model and pictures recorded by the monocular camera as input. This research intends to develop robotics and computer vision by investigating the potential of monocular cameras for SLAM and depth estimation, which might have practical applications in autonomous navigation and depth estimation through the use of a neural network model.
RoboMaster @ 8th Inno Show
RoboMaster is an international robotics competition for university students organized by DJI. It integrates robotics with e-gaming elements to create an exciting and unconventional competition experience. The ground robots mainly use projectiles to shoot at enemy robots, outposts and the base. In addition, there are also drones and darts to carry out air strikes, and radars to assist in battlefield communications. HKU RoboMaster Team (HerKules) has been recruiting enthusiastic students from all faculties since 2017, and aim to provide members with a comprehensive understanding of robotics, including mechanical hardware and software aspects.
StoryGPT
StoryGPT is a therapeutic storytelling tool with Artificial Intelligence (AI) and Cognitive Bias Modification – Interpretation (CBM-I) to help the users to improve their mental illness. In the beginning, users are required to input their concerns into the tool. StoryGPT will provide relevant information for the users to understand his/her current mental health status. For example, if an undergraduate commits suicide due to a relationship, StoryGPT will assess whether the users will have a high probability to diagnose with depression or bipolar.
We anticipate that StoryGPT could provide a confidential and safe platform for users to analyse several sufferings. Simultaneously, we would like to provide positive life directions to users with AI and CBM-I therapy.
Game: Ocean Trader
Ever dream of being a sailor on the sea; travelling all around; trading everywhere? You are about to experience that! Upon entering the game, what you only got is some money to buy a boat and there are only few ports to travel to. Explore the “Exchange” in different cities where you can buy/sell goods to make some fortune! Go to bar, update the boat…there are functionalities to find out! It all starts with a trade. Try to make as much as possible, also, build Chinatowns for future generations to come. Go and “sail it out”!
Design of a solar power system for producing useful fuels and chemical from waste materials
The main objective of this project is to design and construct a solar heating system that can produce useful materials such as charcoal, activated carbon from cellulosic waste. The heating system consists of three main modules which are the solar concentrator, solar tracking system and the frame that holds the two systems. The waste materials turn into charcoal by undergoing pyrolysis which is a thermal decomposition reaction. Our built system operates fully on solar power without any external source of electricity.
Smart Soccer Robot (ii) @ 8th Inno Show
We Built a Smart Soccer Robot with Arduino Core and added innovative designs to the Robot, including a dinosaur head and self-lock pincers. The Robot has relatively high performance in carrying or intercepting balls and thus could excel in Scoccer Matches. It is a light-weighted educational smart robot, suitable for teenagers to learn hands-on robot building and programming.
Developing Educational VR Games For Chinese Second Language Learners
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.
HKU Unmanned Aerial System Team @ 8th Inno Show
HKU Unmanned Aerial System Team (HKU UAS) is dedicated to form a community of Unmanned Aerial Vehicles (UAV) enthusiasts and its associated systems, consisting of two technical teams: Mechanical Team and Computer Science Team. The team aims to join the Student Unmanned Aerial System (SUAS) competition, situated in Maryland, U.S.A. The competition requires the team to design a UAS capable of Autonomous Flight, Obstacle Avoidance, Object Detection, Classification and Localization, and Package Delivery. HKU UAS is also developing FPV (First person view) racing drone and promotes the drone racing activities to the students. For future development, the team aims to develop real-time obstacle avoidance for the UAV and build new types of UAV, such as hybrid VTOL (Vertical take-off and landing) UAV.
Design, Build and Fly Team 2023 @ 8th Inno Show
Design, Build & Fly (DBF) is a regular capstone design project under the Department of Mechanical Engineering at the University of Hong Kong. In the past seven years, DBF teams from HKU have participated in various competitions around the world.
In previous years, HKU DBF teams have shown our passion and capabilities in each of the competitions. Coming to 2023, we are eager in maintaining high ranking by adopting revolutionary design in our flying mechanism. We get to achieve better results and strive for perfection.
Under guidance of the supervisor and advisor, Prototypes with a new wing design and use of material has already built and went through flight tests successfully at Hong Kong Model Engineering Club.
Smart Soccer Robot (i) @ 8th Inno Show
The project’s goal is to build a football robot using provided components and parts such as intelligent chips and motors, as well as other available technology such as a 3-D printer and a laser cutter.
Meanwhile, a comprehensive business plan is required. Based on the requirements, our robots develop a variety of capabilities such as song-playing, light control, self-assembly, programming potential, and power control. Furthermore, we apply the most adaptable remote control talent to provide individual wheel control. A complete and well-structured business plan, including all-sided market study, is tied to the robot’s many functions.
HKU Racing @ 8th Inno Show
HKU Racing Aims to complete the production of HKU01 in the winter of 2022 getting it ready for fine tuning in the spring of 2023 and reaching race ready state before summer 2023 which we are planning to ship it to UK for FSUK 2023 class 1 dynamics event. At the mean time the design work of HKU02 will begins at the first quarter of 2023 simultaneously. Sightseeing and recruitment event will also be hosted throughout this period, for team promotion and learning purposes.
Quantum Physics Demonstrations @ 8th Inno Show
The project’s goal is to build a football robot using provided components and parts such as intelligent chips and motors, as well as other available technology such as a 3-D printer and a laser cutter.
Meanwhile, a comprehensive business plan is required. Based on the requirements, our robots develop a variety of capabilities such as song-playing, light control, self-assembly, programming potential, and power control. Furthermore, we apply the most adaptable remote control talent to provide individual wheel control. A complete and well-structured business plan, including all-sided market study, is tied to the robot’s many functions.
Follo
Follo is an automated shopping trolley that lifts up for you to load,holds your groceries and follows you back home. It also functions as a seat whenever you need a moment of rest.
It is safe, secure, elderly tailored and cost efficient. It can bare up to 20 kg of weight inside and can support up to 80 kg outside. 3 simple buttons for easy control of cart height with a companion wristband or app, It has secure ownership with unique signal transmission and lid opening orders restricted to your device. With Follo, it can eliminate average 10 kg weight carrying, encourage elderly’s outings by 20% and bring the shopping experience to a whole new level.
Exit Finder – navigational assistance for VIPs
Through interviewing Visually Impaired Person(s) (VIPs) from the Hong Kong Society for the Blind, our team identified the struggle that VIPs face when having to use the MTR. VIPs have difficulty travelling to new places with the MTR on their own due to the lack of accessibility in the MTR stations. The mobile application “The Exit Finder” aims to provide an offline in-station barrier-free navigational assistance for VIPs. The proposed mobile application will present text-to-speech information about the directions towards the chosen MTR exit based on the tactile paths available in every MTR station. The success of this strategy, without the requirement of installation of additional facilities, improves the railway travelling experience of VIPs particularly travelling around unfamiliar stations, as public transport should be accessible for everyone.
OpenMANIPULATOR-P Bartender
In this project, the viability and feasibility of employing robotic bartenders would be examined through a thorough analysis of their practicality and potential impact. The aim of this project is to design and develop a robotic system that can automatically prepare and serve cocktails. Apart from the robotic arm and the automation system, an overall design layout is customized for the arm, including a customized shaker cup, to provide a safety user experience and help facilitate the serving and bartending process. Ultimately, our visions are to alleviate the workload of bartenders and minimize the risk of occupational injuries by introducing robotic bartenders.
Machine Learning in Archaeology
Digitization of archaeology is in great demand. Since 2009, an HKU archaeological team of researchers and students led by Dr. Cobb has been investigating the area around Vedi, Armenia, aiming at understanding human life and mobility in the ancient landscapes of the Near East. A large volume of sherds was excavated and documented with photography. Inspired by the recent advancement in computer vision and machine learning, this project attempts to explore various deep learning models to classify and compare those sherds unearthed. It is hoped that insights gained from the project can help archaeologists of manage the massive quantity of ancient artifacts in the future.
Smart PV Panel Cleaning Robot
Solar farms require flat and open spaces, however, Hong Kong is a relatively mountainous region. With Hong Kong’s geographical structure, it is not feasible for Hong Kong to develop hugely in solar farms. Nevertheless, we can expect a rise in the use of solar PV panels on village house rooftops and building rooftops by individuals for having partially self -sufficient energy systems to reduce electricity charges. Therefore, we have a great business opportunity here. Supporting the maintenance of solar PV panels with a cleaning robot is a meaningful idea at the right time. Moreover, doing manual cleaning for solar PV panels on rooftops is a slow and risky process. People’s safety is a major concern as working from heights and in different weather conditions can hinder people’s safety when cleaning the solar panels. Moreover, cleaning done by people is hard and slow process. With a cleaning robot, the cleaning work becomes simple and a fast process.
With a great number of policies and measures being implemented to encourage the use of renewable energy, it is a time where we could expect more installations of solar PV systems. This would be a fantastic opportunity for our team to make a solar PV panel cleaner to enhance the maintenance of the solar PV panels. With our product, it brings convenience to 6 people having solar PV systems on their home’s rooftops or buildings. This could further encourage people to opt for renewable energy from solar PV panels.
Blood Born – A Platformer RPG SLAM robot with monocular depth estimation
Blood Born is an immersive game that combines elements of action and adventure. Players must use their movement skills to navigate through a variety of obstacles, while battling monsters and bosses using their unique abilities. One of the standout features of the game is the blood point system. Unlike traditional health and mana systems, Blood Born uses a single variable called BP to represent a combination of HP, MP, and currency. Players must collect blood points throughout the game to unlock powerful upgrades and abilities. With its stunning graphics and innovative gameplay, Blood Born can captivate players and inspire future game developers.
