Computer Vision

2019, September - 2020, January
Joined Professor Tang's AI team in BMCC college, which was a Deep Learning research program in Computer Vision. During this program, I spent 20 hours weekly to dived into details of the deep learning architectures and focus on learning end-to-end models, particularly image classification. I learned to implement and train neural networks and gain a detailed understanding of cutting-edge research in computer vision.

HACKATHON 2019

At the Fall 2019 CUNY Hackathon 426 CUNY students united for three days to participate in workshops and hack with the goal of improving the greatest city in the world.

What we did?

Our idea for this contest was to create a new navigation system for blinds. It also makes easier and more intelligent for them to get around without relying on blind sticks. OWL was our solution, which could use in wearable devices，like glasses. We split it into three core parts. The first part is the object recognition, which was able to tell what objects were around. The second part is direction identification, which was able to identify directions for the user, and the distance between the object and user. The last part was voice output，which to transmit information to the user in the form of sound.