The 1st Engineering InnoShow

Lost slime: a new home

Computer Science, The 1st Engineering InnoShow / By

Lost Slime is a Multiplayer-Educational-Rhythm game that runs on your web browser, written in javascript with Node.js, Express.js and Socket.IO. It is designed to be lightweight and responsive to run on any PC.

Find Slimies new houses! Players compete to stack the tallest pillar to gain a high ground — which helps Slimies in spotting new locations for housing. To stack a pillar block, players time their space-bars along with the music beats. There are also phrases or sentences intertwined, that players have to input correctly before pressing space-bar. With these two objectives carried out, Slimies can then jump on the newly stacked pillar block!

What’s more, there are two additional single-player modes, where players strive for stacking the tallest pillar in High-score Mode, as well as surviving as long as possible, in Survival Mode, before the camera catches up!

We set out in making the game casually improve players’ typing proficiency. It could be cheerful-lighthearted, or mechanically intensive. We have designed an additional beat-mapper program to translate music pieces into custom track information used by the game, in json format. Which means players can create authentic mappings with their favorite music!

Planto – Digital data driven financial advisor

Engineering startup, The 1st Engineering InnoShow / By

Planto is a data driven digital finance advisor that helps millennials achieve financial greatness allowing users to plan, track and stay on top
of their progress. By automatically aggregating user’s
savings, credit cards, investments, loans, mortgages and retirement
accounts – Planto can leverage AI and big data to proactively give
predictive financial advice that is always in users’ interest.

eCup

Engineering startup, The 1st Engineering InnoShow / By

eCup promotes coffee culture and grows whole supply chain market via digital. Our service is unique in HK and ASEANs among any other F&B solutions as we cover vertically entire user journey on coffee from knowledge, searching, ordering, e-payment, e-stamps, rewards and after purchase engagement, which gives a pioneer digital & fully automated UX. We have UI tailor made based on user’s coffee habit, innovative friends treat feature via WhatsApp (i.e. Treat friends coffee remotely), big data campaign analysis, and user behavior driven CRM. Our mission is, when you need coffee, use eCup.

Development of universal testing machine with digital image correlation system for soft and biomaterials

Mechanical Engineering, The 1st Engineering InnoShow / By

Research on the development of new types of biomaterials has become one of the major focus in the engineering field in recent years. The biomaterial is integrated with medical engineering so it can be engineered to interact with the biological system in the human body for the different medical purpose. In order to opt for the optimal biomaterial for a certain medical purpose, several testing related to the measurement of displacement and strain should be performed on the biomaterial. This project aim to develop an Universal Testing Machine (UTM) with Digital Image Correlation method (DIC) to provide a field true strain measurement and reduces the disturbance on the local mechanical response of the local mechanical response of the testing material, providing a better, more precise and immediate strain/displacement analysis of the experiment than using the extensometer.

Tenki

Computer Science, The 1st Engineering InnoShow / By

At Tenki, we hope to delivery accurate local weather data to Hong Kong citizens in minimal manner.

Tenki is a revolutionary weather app. Retrieving its data from Hong Kong Observatory, Tenki provides accurate local weather data to HK citizens. The redesigned minimalistic user interface provides a distinctive and holistic user experience. Users get to access their desired information at their fingertips.

Tenki updates weather information according to users’ location. Users can receive notifications in case of special weather conditions. They can also access to other information such as weather forecast and astronomic data.

3D Food printer

Mechanical Engineering, The 1st Engineering InnoShow / By

The project aims to build a 3D food printer that is user-friendly for household users, through remodelling of the TEVO Tarantula 3D printer. Upon completion on configuration of hardware and software, an extrusion system is designed based on a meat mincer. The goal of this project is to print the customised dish with food material in high precisity. Another focus of this project is exploring food material applicable for 3D printing. With rich nutrient content and high formability, potatoes is chosen to make a great show with other supporting actress. The effort paid by the team does make an exciting return. It is wished that the efficiency of the printer can be greatly enhanced in the foreseeable future and finally be a necessary for a home.

Advancing optical label-free cellular imaging – from instrumentation to cell assays

Biomedical Engineering, The 1st Engineering InnoShow / By

Quantitative phase imaging (QPI) is an advanced optical microscopy technique that requires no sample staining and allows quantitative measurement of biophysical parameters of the cell specimens. This technique is desirable especially in live-cell imaging, as it can yield cellular dry mass distribution, intracellular dynamics as well as size of cells with minimal intervention/damage to the sample. A compact and easily-compatible setup of QPI was developed and applied to a wide range of biomedical applications, ranging from fundamental biological studies in brain imaging, to the clinical studies in drug-screening for breast cancer cells and characterization of pathogenic bacteria biofilms.

Datax

Engineering startup, The 1st Engineering InnoShow / By

We are a research data crowdsourcing platform for researchers & AI companies to collect & enrich data with the help from public contributors. We are founded by a group of HKU BBA(IS)/CS graduates and MSc(CS) students, supported by HKU, Cyberport and HKSTP.

If you need labels & annotations for your AI/ML projects, or look for manpower for collecting & preprocessing data, we can help save time & resource required to manage the data contributors and collect more quality & diverse data efficiently. Our platform currently specializes in offering:
1. Image/Video/Audio/Doc tagging & annotation
2. Survey
3. Sentiment analysis

Realistic visualization of bridge structure in a Virtual Reality environment

Civil Engineering, The 1st Engineering InnoShow / By

Efficient collaboration of data is essential for successful project delivery of
Building Information Modeling (BIM), which mainly relies on its visualization performance. VR technology can extend the advantage to create a more engaging and realistic environment for every stakeholder. As a large number of software for BIM and VR computing are available on the internet, it is vital to find the most effective workflow to transfer the project from modeling tool to the VR engine.
In this project, we would explore the performance of different software and hardware to find the best solution to BIM-VR collaboration workflow.