ABOUT THIS EPISODE
This new episode takes a closer look at how thermal imaging can reduce the risk of vehicles colliding with pedestrians. You'll see how thermal imaging can harness the power of machine vision algorithms to provide drivers with invaluable intel for making safer and better decisions, especially when visibility conditions deteriorate.
We'll also reveal the limitations associated with the vision sensors built into today's advanced driver assistance systems before showing how thermal imaging can step in and save more lives.
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English
United States
TRANSCRIPT 🔗
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OTHER EPISODES IN THIS PODCAST
In this new episode, we check out a sector that has long embraced the upsides of the thermal imaging technology, namely the defense industry.
The conflict situations of today call for the use of high technology to meet operational challenges. The overriding aim is to improve equipment performance w…
In this episode, we’re giving you a rundown of the most innovative applications that use thermal imaging. We will describe each one and explain how thermal imaging helps make them innovative. Enjoy!
Hosted by Ausha. See ausha.co/privacy-policy for more information.
Infrared vision is based on the principle of light emission in a defined spectral band outside of the visible light spectrum. Everything within this infrared wavelength radiates energy that can be captured and visually identified using a thermal imaging device operating in this wave band.
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