kit – Page 5 – Innovation Academy

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.

Machine Learning in Archaeology Read More »

SLAM robot with monocular depth estimation

Electrical and Electronic Engineering, The 8th Engineering Inno Show / kit

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.

SLAM robot with monocular depth estimation Read More »

Cat Object

Industrial and Manufacturing Systems Engineering, The 8th Engineering Inno Show / kit

You can interact with the virtual cat

Cat Object Read More »

BREED HKU Agile Robotic Fish with 3D Manoeuvrability for Open Water Swim @ 8th Inno Show

Mechanical Engineering, SIG Projects, The 8th Engineering Inno Show / kit

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.

BREED HKU Agile Robotic Fish with 3D Manoeuvrability for Open Water Swim @ 8th Inno Show Read More »

HKU Racing @ 8th Inno Show

Mechanical Engineering, SIG Projects, The 8th Engineering Inno Show / kit

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.

HKU Racing @ 8th Inno Show Read More »

Deadline Fighter

Computer Science, The 8th Engineering Inno Show / kit

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.

Deadline Fighter Read More »

Viola

Mechanical Engineering, The 8th Engineering Inno Show / kit

This is a project to automize the playing of viola using mechanical systemsm

Viola Read More »

HKU Unmanned Aerial System Team @ 8th Inno Show

Mechanical Engineering, SIG Projects, The 8th Engineering Inno Show / kit

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.

HKU Unmanned Aerial System Team @ 8th Inno Show Read More »

Design, Build and Fly Team 2023 @ 8th Inno Show

Mechanical Engineering, The 8th Engineering Inno Show / kit

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.

Design, Build and Fly Team 2023 @ 8th Inno Show Read More »