Real time video single object motion detection

Python
1

Hi all,

I’m new to OpenCV and before starting to dig too far into it, I’d like to get some advice if I can achieve my idea with this framework. Please note that I have an engineering background but no specific knowledge in CV (so far).

I’m looking at developing an application that can detect subtle eyelid / eyelash motion and trigger to an external application for further actions. Here what I envision:

  1. Identify eyelid / eyelash on the video stream (single object)
  2. Trigger an event when this object moves enough above noise threshold and motion is detected for a certain duration (1-2sec).
  3. Send the even to a 3rd party app like node-RED (or eventually process in Python)
    The detection has to be done real time, ideally using a video stream coming from a webcam or a phone.

I was questioning if roboflow could also help for that purpose.

Thank you in advance!

2

what kind of quality do you need here? low latency? high accuracy? is the picture of the eyes a byproduct of capturing the entire human, or can you get right up in the subject’s face with a camera?

since you said “stream from a phone”, I’m guessing that latency on the order of a second is acceptable?

OpenCV is a foundation. think of it as good for prototyping, but if you have really specific requirements (like low latency), you might have to replace parts with code that accesses your camera/stream in specific ways.

unless you approach this like a “machine vision” task (almost metrology), sure, some AI can help simplify your task (recognizing the appearance of the eye that you care about).