This engineering project explores the potential of integrating machine learning into Cities: Skylines to gain insights into urban planning strategies. By implementing AI-driven infrastructure development and management in the virtual environment, the project aims to analyze diverse urban planning approaches and their impacts on factors like growth, efficiency, and livability. The simulation-based methodology allows for the testing and evaluation of a wide range of infrastructure building techniques, with the goal of uncovering optimal urban planning solutions that could be applied in real-world settings. The insights gained from this project have the potential to benefit government entities, urban planners, and the general public. The simulation-derived data and analysis could inform policymaking and infrastructure development decisions by providing data-driven guidance. Furthermore, this project could advance the use of machine learning in urban planning, leading to the creation of more accurate predictive models and decision support tools. Additionally, the identification of planning strategies that enhance the quality of life for citizens could promote the development of sustainable, resilient, and equitable cities. By leveraging the power of simulation and machine learning, this project bridges the gap between virtual and real-world urban planning, ultimately contributing to the creation of more livable and thriving cities.
Category: ypec-2024
The objective of the bin is to encourage people to recycle paper products. It seeks to address the following question. Almost everyone will not classify their garbage. Although there are existing smart recycling bins in society that will be launched in 2021 by the government, recycling technology can add AI technology to increase recycling efficiency, The function of the recycling bin would be to distribute different types of paper products, classify the paper whether it can be recycled or not, if the paper is not be allowed to recycle, like staples, paper clip and the aluminum paper and plastic on the paper package drinks. After the user puts the paper into the recycling bin and the recycling bin stores the paper, the user can get a reward according to the paper weight. The recycling bin would like to have a scanner and reader for the reward function, and the camera would like to detect the types of paper by image recognition.
Hong Kong people lack smiles and have poor mental health due to the insufficient availability of psychiatric services. To address these issues, we have designed the Mind Mirror, a technological innovation aimed at enhancing the mental well-being and happiness of Hong Kong people. The design objective of the Mind Mirror is to encourage users to express smiles and provide psychiatric services in the comfort of their homes. This product incorporates AI facial recognition technology to identify users’ expressions and respond with appropriate audio prompts and encouragement, it can respond to some message or information according to the users’ expressions by AI. Additionally, the Mind Mirror records users’ facial expressions, allowing them to gain a better understanding of their emotional fluctuations and mental states. The Mind Mirror features advanced technological elements, including a camera that captures facial expression features and an electronic touch screen for displaying relevant data and messages. Moreover, when the Mind Mirror device is turned off, the screen will be dark and be a mirror by using semi-reflective film which is commonly used on one-way mirror windows.
We notice that music jamming is important for musicians to develop skills and be inspired to improvise new melodies. But when bandmates are not always available, can technology help, or even take things to the next level? Experience a groundbreaking fusion of AI and live musical performances. Our project Majestic Jam revolutionises the music industry by seamlessly integrating AI systems with human musicians, unlocking unparalleled creativity and captivating live experiences. Picture a stage where musicians and AI collaborate, transcending traditional boundaries. Majestic Jam analyses music in real-time and improvises harmonies, rhythms and melodies to complement human musicians. First, we build a sound library in our database for Majestic Jam to deep learn. Next, the human musician will play some music as input. With the input and a random variable, Majestic Jam generates matching musical outputs and spice up the jam. We believe such dynamic machine-human collaboration represents the future of music. Join us in redefining the possibilities of live performances, creating unique experiences that captivate across genres and generations. Join us to shape a new era of musical innovation with Majestic Jam that does not only elevate music performances, but also inspires endless music possibilities.
“Colourful Seniors” aims to encourage seniors to maintain good health to live a colorful life. A computer exercise program is developed to help seniors learn simple exercises. As opposed to traditional exercises, the program also aims to take care of the mental health of the elderly by enabling them to connect with the trendy social happenings. To instill lively energy, the program will focus on the trendy exercise / dance, such as “科目三”, Jisoo’s Flower dance, etc. AI image recognition is used to guide the correct postures. To keep the seniors engaged and motivated, seniors could create avatars if they pass through certain exercise requirements. The program also aims to further strengthen the brain memory of the elderly. The exercise program has follow up games to reinforce what they have learned. To give the elderly sense of achievement, the platform allows reciprocal offerings where the elderly can also teach the younger ones. For better training effects, the exercise trainer and games can be projected via a hologram. With the exposure to state-of-the-art technology, it can also take care of the mental health of the elderly by giving them a sense of privilege, versus being deprived of new things in the world.
Medication mistakes can cause catastrophic consequences. Pharmacists are crucial in ensuring medication safety by reviewing prescriptions, assessing potential interactions, and providing patients counseling. However, there is a chance that they make blunders. According to an article posted on HK01 in 2021, a pain patient with aspirin sensitivity was prescribed the same anti-inflammatory analgesic, causing discomfort and sensitivity. The Hospital Authority noted that healthcare workers did not associate the two drugs. Our AI program relied on an autoencoder model, which is an artificial neural network that is designed on how the human brain processes information. Also, it includes data mining techniques to analyze prescription records, electronic health records, and other healthcare data sources. By using this model, it could simplify pharmacy workflow, minimize administrative burden, and frees pharmacists to focus on patient care. To make the AI programme to indicate all kinds of drug-drug interactions, it is needed to label data from thousands of drugs and millions of different combinations of possible interactions. In summary, the optimization models consider factors like lead time, inventory costs and service levels to determine the optimal stocking levels for different drugs. Consequently, it can predict drug demand, optimize inventory management, and maintain adequate stock levels.
Rat infestation has been a long-standing problem for humans, especially in high-density cities such as Hong Kong. In addition, the structure of vertical cities makes the problem more complicated. One of the main reasons is that rats can obtain food from restaurants, but humans lack ways to eradicate them. Eventually, the mice continue to multiply and maintain a certain number. The purpose of this project (Rat Colony Detector) is to provide an effective way to eliminate rats. By installing a GPS and altimeter on the mouse, the mouse’s path can be tracked. We also collected data on the gathering, work and rest of rats, and finally estimated and discovered the nest. At the same time, through visual images, it provides citizens and rodent exterminators with visibility and understanding of the severity of rodent infestation in the area. This move is expected to narrow the scope of rodent control, reduce the cost of rodent control, and greatly improve the effectiveness of rodent control.
In the age of information technology, platforms like YouTube have increased, allowing people to upload videos and watch videos and streams. Despite efforts to enforce censorship, inappropriate content such as sexual and violent still proliferates on these platforms, negatively impacting teenagers who may imitate such content. Furthermore, YouTubers and streamers have become popular professions, but issues like privacy rights and legal troubles arise when recording someone’s face without consent. The demand for applications addressing these challenges is increasing. PURE BLUR is introduced as a video-blurring application with live-streaming capabilities to tackle these issues. It employs algorithms and machine learning models to automatically detect and blur sensitive areas or objects in videos, ensuring that inappropriate or explicit content is minimized. PURE BLUR also encourages users to maintain a safe video-sharing environment by reporting inappropriate content. This feedback enhances content moderation and improves the accuracy of the blurring feature. In conclusion, PURE BLUR presents a comprehensive solution to the challenges faced by media platforms. By leveraging advanced technologies, user feedback, and active moderation, it aims to create a safer environment, reducing the sharing of inappropriate videos and protecting individual privacy.
The project titled ‘AI-Driven Digital Twins: Smart IoT Centre Management System’ aims to bridge the gap between the physical and virtual realms by utilizing digital twin technology. It involves the creation of a 3D model of a VTC Smart City Innovation Centre, which incorporates real-world sensors and smart devices. Centre Administrators can remotely control these devices through the implementation of an AI prompt functionality, using simple prompts. The project primarily targets property management professionals responsible for overseeing IoT facilities, providing them with effective tools for system management, real-time data monitoring, and resource optimization. The project addresses challenges associated with real-time monitoring, efficient resource allocation and predictive maintenance. By seamlessly integrating IoT devices, the system offers valuable insights for informed decision-making. The project’s distinctive features include a simple AI Prompt interface, a visually appealing 3D model, and a multidisciplinary team with expertise in Electrical Engineering and Computer & Electronic Engineering. Short-term objectives involve developing a prototype and expanding the range of supported devices, while long-term goals focus on refinement and scalability. Ultimately, this project empowers administrators to enhance operational efficiency, foster collaboration, and make well-informed decisions, thereby contributing to the development of smarter and interconnected cities.
The integration of generative artificial intelligence (Gen AI) holds significant promise for future engineers, particularly in mastering and applying complex technologies. This paper presents nanoCraft, a 3D modelling application developed by students to aid their peers in Information and Communication Technology (ICT). nanoCraft serves as an example to address the challenges beginners face in 3D modelling, such as navigating technical intricacies and steep learning curves. The development team, initially without 3D modelling knowledge, undertook an extensive learning process covering essential concepts like defining vertex data structures and UV mapping. This app encapsulates the team’s educational journey, offering a user-friendly platform for creating low-poly models and custom textures. nanoCraft is tailored for ICT students who prefer hands-on learning. It supports the full creative workflow, from initial model creation to augmented reality (AR) visualisation. By using nanoCraft, students not only learn theoretical aspects of 3D design but also gain practical experience through active creation and experimentation. This experiential learning approach, facilitated by nanoCraft, demonstrates the powerful combination of learning and implementation enabled by Gen AI, paving the way for innovative advancements in engineering education.