Presentation #1: An Introduction to Computer Vision
Presentation #2: A Primer to Image Processing
Presentation #3: Region Analysis
Presentation #4: Region Segmentation
Presentation #5: Edge Detection
Presentation #6: Texture
Presentation #7: The Hough Transform
Presentation #8: Pattern Recognition
Presentation #9: Support Vector Machine
Presentation #10: Corner Detection
Presentation #11: HOG Features
Presentation #12: Intro to Machine Learning Metrics
Presentation #13: Construction Vision Product Update
Construction Computer Vision Project w/ Dr. John Ross Rizzo
In this project, I am working with Dr. John Ross Rizzo of NYU Langone Health
to develop a haptic feedback headset to help the blind navigate construction sites in busy cities. I developed a prototype
with Python 3 and used YOLOv8 and MiDaS to use object detection and depth recognition software to detect
construction cones, construction barriers, hazard lights, ladders, cars and construction workers in the sites.
The goal of the project is to develop a real-time haptic feedback headset to assist the blind in NYC. Here is the plan.
Ensure real-time detection works from the YOLOv8/MiDaS prototype on the Jetson.
Run experiments on real-life construction sites in Midtown Manhattan.
Add haptic feedback by testing depth detection with a Piezo buzzer that buzzes as you get closer to a construction object.
