Closed captions have been around for awhile its time to try to innovate on them.
Experiment replacing traditional closed captions with AR-style speech bubbles anchored to the speaker. Built on React, AWS, and a computer-vision speaker-detection step — part of exploring more engaging and more accessible video captions.
As someone who loves exploring new technologies, I was thrilled to try out Apple's ARKit at the 2017 WWDC conference. I drove to the nearest Apple store to purchase the latest iPhone, just so I could use the latest ARKit technology.
WWDC 2017 recap: experimenting with ARKit on the day it shipped by placing 3D Cartoon Network characters into augmented reality on iPhone. A snapshot of what felt possible the instant ARKit became public to developers.
"Get off my lawn moment" setup a camera to capture how fast folks are speeding in my neighborhood. 25mph limit. pic.twitter.com/rtQZs6QFbG
— Scott Havird (@scotthavird) January 6, 2016
I live in a neighborhood with a 25mph speed limit. I've noticed that many people drive much faster than the speed limit. I wanted to capture how fast people were driving in my neighborhood. I set up a camera to capture the speed of cars driving by. I used a Hikvision CCTV to capture the video and a Python script with OpenCV to detect the speed of the cars.
Built a neighborhood speed-detection rig using a Hikvision CCTV camera, Python, and OpenCV. Pulled frames over RTSP, detected vehicles, and computed speed against the 25mph limit — early computer-vision work that foreshadowed later ContentAI pipelines.