Software & Maker Activities

Developed Software, Designed and made Prototypes for Hobby, Assignment or Competitive Events

1st Prize at WinterHacks 2024 for AI-Powered Snow Detector (2024, aged 20)

Participated in a hackathon with a friend and won first place out of 79 participants
- We developed the solution "EyeSee" inspired by the need to improve winter navigation for the visually impaired. We saw an opportunity to harness machine learning to create a more intuitive and effective aid, addressing the specific challenges posed by snow and ice.
- The system comprises dual cameras: one captures visible light, while the other is tuned for near-infrared imaging. The visible light camera feeds images to the neural network for analysis, and the near-infrared camera can be used to further enhance object detection accuracy in the scene.
- It utilizes machine learning for quick object detection and an on-device inference system that can be used to detect snow after which EyeSee triggers a buzzer alert. This notification enables users to take immediate precautions or seek alternative paths, guided by the direction where the alert is not sounded. This intuitive design allows users to navigate more safely and confidently in snowy environments.
- EyeSee combines a Raspberry Pi with an open-source Single Shot MultiBox Detector (SSD) model from Torchvision for real-time inference. This setup processes images from the dual cameras mounted at the front. Connected to the glasses is a head/neck band, which holds the Raspberry Pi and two 18650 batteries.

Developed an Omni-directional, Motion-Controlled Car using Arduino (2023, aged 19)

Sharing Copy of MEC101 Mecanum GroupProj

▲ Final Project Report (63 pages)

Video_20230612_050037_158.mp4

▲ Click the video above for a demonstration of the completed prototype

Gyro Sensor and Related Code

Working Prototype

Coding and Maker activities before university

I designed a new app that lets people search for places with great backgrounds for different types of photos
Problem it solved: Many people take many different types of photos and videos these days - for social media, profiles, outdoor shots, traveling, and more - but often can't find the right place to take a photo or video with the mood they want.
The Solution developed: Develop the design of a new smartphone app with the following features
- Search for popular places to shoot and popular photos by use
- View photos people have taken at each location to get an idea of exactly what it's like to be there, what the atmosphere is like, and what kind of photos you might get.
- Provide a gallery feature to view the most popular photos by use and over time