Electrical and Electronic Engineering

The flowers of strawberries are insect-pollinated flowers that require insects to pollinate in the nature environment. However, insects will not be found in indoor hydroponic farms. Strawberry flowers require insects for the pollination process. Therefore, manual pollination is required since insects cannot be found in the indoor hydroponic lab.

In order to reduce the manpower and enhance the automation of urban indoor hydroponic farming, an autonomous pollination system will be developed for Vegetable Marketing Organization (VMO). This application applies YOLOv4 for detecting the strawberry flowers and for classifying the color of anthers. Also, this system includes the flower growing tracker, which can record the growing situation of the flower for the research fields related to planting.

The Smart Water Auditing using IoT, and Machine Learning project aims to provide insights on how water is being in the households of Hong Kong to reduce the consumption of water and raise the awareness of people’s water consumption habits. To help increase participants’ water consumption awareness, a dashboard was designed to provide a simple yet interactive way for users to review their water usage. To create a dashboard, a graphical user interface and a communications system must be designed. However, the initial design of the dashboard suffered from connection issues and graphical user interface performance issues, both of which are essential functions of the dashboard. Therefore, extensive testing and optimisation was necessary to mitigate these problems. However, the dashboard still suffers from minor stuttering due to the microcontroller’s limited performance. Despite this, the design of the dashboard was a success, and it serves as a crucial medium for participants to review their water statistics.

Under the project, a fire-fighting AGV is developed. The idea is to save and protect firefighters’ lives by substituting human firefighters with AI robots in hazardous firefighting environments (e.g., toxic, extreme heat, radioactive, etc.). The AGV prototype has utilized the image recognition technologies, as well as a handful of sensors, including a ALS module, infrared array sensor as ultrasonic sensor. Modifications on the stock powertrain system of the given chassis were also made to accommodate the need to traverse in the difficult terrain of a firefighting scenario. Water is chosen to be the fire distinguishing agent.

The Quantum Demonstration Kit (QDK) is a playful interactive and gamified version of a quantum physics experimental setup, designed to demonstrate key concepts of quantum mechanics to young beginner students to enhance their overall understanding of the subject. The key novelty of our product design, is that it is portable, cost-effective, and simple enough to be operated by young undergraduate/school students independently themselves. On the contrary, quantum physics setups routinely used in research labs are bulky, expensive and extremely complicated, making them unsuitable to be used for hands-on laboratory based education for beginners to this field.