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Undergraduate YPEC 2021

UG20-University RPG

The global pandemic has changed the learning mode for tertiary education from semi-online learning (University’s Portal + Physical lesson) to full online learning on zoom. Universities and firms have adopted studying and working from home to adapt to the pandemic. Despite the fact that online learning is working for many academically under such extreme circumstances, it has side effects especially socially such as that the bonding among students and professors is very weak and there are not many effective opportunities for students to expand their social circle. To solve these issues, we propose an idea to integrate social interaction to online learning to expand the range of virtual university from only being academic to having more social opportunities which is a 2D role-playing game combined with 3D virtual rooms and zoom classes.This game could be simulated with the university background. Both students and professors could first customize their own characters and then walk around the virtual school campus with a keyboard or touchpad on the phone. With this, students can chat in the virtual hallways and have more interaction with other students in 3D activity rooms, enabling students to have opportunities to interact with others while having lessons as well.

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Undergraduate YPEC 2021

UG19-Walking Assistant for the Visually Impaired with Hand-Held LIDAR through Machine Learning

There are around 18000 people in Hong Kong who are visually impaired. Walking around in the streets is an essential part of their daily life. They need help in walking from one location to reach their destinations in a safe manner. An affordable and reliable technological solution will improve their personal safety and their quality of life. In this project, a LIDAR augmented mobile device which aids visually impaired people for day and night navigation has been developed and evaluated. The application includes navigation in the streets, obstacle warning and avoidance, falling detection and rescue. These functions are interacted through suitable user interface including voice-over and voice control. The navigation in the street function exploits the Global Positioning System (GPS) and assists users with voice guidance. The obstacle warning and avoidance function indicates to the user if the obstacles are detected within a close range during the navigation. The falling detection and rescue function keeps tracing the visually impaired people for falling accidents. When a falling action detected, the emergency call will be triggered for rescue immediately. The device can operate day and night under the uncongested area, and it can be attached to a walking stick or hanging on the neck. In general, the mobile application was found to improve the mobility of the visually impaired and their experience of walking in the street.

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Undergraduate YPEC 2021

UG18-Thermal camera temperature measurement system using embedded machine learning

Since 2019, COVID-19 has spread among different countries and seriously affected our daily life. To identify people with fever, there are several body temperature measurement methods on the market. However, these methods have different drawbacks on their efficiency, price, or privacy issue. Our project aims to use low-cost and portable hardware to build a body temperature measurement system. Our system has achieved 89.6% face detection accuracy, error of ±1.0°C in temperature readings, and a valid distance of 2.5 meters. The main difference between our system and the existing solution is that our system only captures low-resolution thermal images, and preventing privacy issues. The system captures thermal images through a thermal camera and passes them to a Raspberry Pi, and implements machine learning with the assistance of a USB accelerator in order to detect the position of the human face in the image. Finally, the target’s body temperature can be calculated.

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Undergraduate YPEC 2021

UG27-Enabling RFID readers to detect RFID tags on metal surfaces

RFID tags are commonly used in tracking goods. However, one major disadvantage is that readability issues occur when they are placed on a metal surface. This is because radio signals may be detuned or reflected by metal, leading to a reduced read range, false reads, or no reading at all. There are already solutions for creating special on-metal RFID tags that are readable when placed on a metal surface, but for an existing RFID tracking system that does not use such tags, it is troublesome to replace all the tags with on-metal RFID tags. Hence, the goal of our project is to identify an alternative solution, one that would minimize changes in the existing infrastructure of an RFID tracking system. We have designed a device that takes advantage of the waveguide phenomenon to extend the readability of a regular RFID scanner to any desired distance. The dimensions of our device can be customized such that it can be installed on any existing RFID scanner to allow the scanner to detect RFID tags attached to objects that are in motion (e.g. luggage being delivered via an airport’s conveyor belt), regardless of whether it is on or near a metal surface.

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Undergraduate YPEC 2021

UG26-AlGreen

Algreen aims to develop innovative algal technology to produce renewable bio-fuels. We are currently a HK based startup under HKUST and Hong Kong Science Park (STEP program). We have been awarded the gold award at the HKUST Presidents cup 2021 which is the signature UG research competition. Our technology is diverse and inter-disciplinary stemming from vertical farming of algae to genetic modification for enhanced oil to chemical extraction techniques. At the moment we have a prototype farm on campus and are simultaneously researching under advisors and professors to complete our proof of concept. We aim to target the shipping and aviation industry, where oil based fuels have no alternatives. We are rethinking energy.

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Undergraduate YPEC 2021

UG25-Water

Due to the increasing need for environmental protection, we proposed to impose a generator in residential water pipes to generate electricity in a more environmentally friendly approach. With that being said, in this day and age, we need to come up with more regenerative systems that can reuse energy, or even materials and substances. Only by this can we together build up a more sustainable and long-lasting living environment.

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Undergraduate YPEC 2021

UG30-BeGreener

BeGreener has designed a sustainable program for the convenience of the public to recycle disposable containers and encourage people to actively use reusable lunch boxes. To achieve our goal to eliminate all the disposable utensils in our market, we introduce our program from three different aspects. First, we will install our recycling machine at public spaces such as MTR station, student dorm or campus and release our rewards points mechanism to cultivate customers’ recycling habits. Secondly, we will release our special designed foldable disposable lunch boxes with assemblable utensil cover using eco-friendly materials. Finally, we expect ourselves to become the “Airbnb, Uber of Reusables” by offering the public lunch boxes sharing services, people no longer have to bring their own lunch boxes but still can enjoy a whole new experience on eco-friendly eating. Also, we will encourage people to use reusable lunch boxes to follow our rewarding system by using the NFC tags and lunch boxes we developed. By doing so, we hope to create a better tomorrow for our next generation and continue the legacy of the human society.

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Undergraduate YPEC 2021

UG29-Smart Mirror for Salon

Several hours, whole afternoon and even takes up a day is the time budget for salon services. This project aims to develop contactless smart mirrors that can revolutionize the whole salon experience by providing entertainment and stylist reference to the customers through eye-tracking and artificial technology. During the treatment process, eye tracking applied on the smart mirror technology serves as their personal assistant to achieve entertainment purposes. Books, movies, social media browsing, news are presented right in front of the customers, controlled by the movement of eyeballs. Therefore, smart mirrors deliver the information and be their personal, digital assistant. If customers are confused about the hairstyle decision, customers can freely browse and get familiar with the upcoming procedures and also any other optional products and services. While hard-selling can be intimidating for customers among the beauty services, smart mirrors can achieve the same purposes from a soft selling perspective. To avoid the aggressive image of the salon, messages are conveyed in a subtle, non-pressure way to introduce hair products and optional services through smart mirror displays. Foreseeing the implementation of smart mirrors establish a time-saver assistant by adding a futuristic touch of digital optics with artificial intelligence interface.

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Undergraduate YPEC 2021

UG28-One-step Photocatalysis Station

With the existing COVID-19 pandemic, maintaining good hygiene and sanitizing ourselves has become a habit. Realizing that a lot of people only pay attention to hand sanitization rather than personal belongings sanitization, which becomes an unidentified risk. We brainstorm on how we can create an innovation that will help to provide easy access to sanitizing. Hence, the project proposed aims to remind the users and passerby to sanitize their belongings and provide an easy-access sanitizing station. The main concept of the project is to set up stations in the form of a vending machine. The machine is to be equipped with a photocatalytic coating system that will disinfect the object placed inside it. A photocatalytic system is an air purification system that is environmentally friendly as it only requires light as its main energy source (He, Jeon, & Choi, 2021). The stations will be placed at accessible spots, such as universities, MTR stations, and malls. Before using our stations, users have to scan the QR Code given so that others can check which stations are available from our phone application.