As I was collating my previous list of deep tech projects and then talking about each one, I realized that it might be a good idea to write an easy-to-understand guide that will cover the fundamentals of Computer Vision and Deep Learning so non-technical readers can better understand the latest deep tech projects. The first part will be about image processing basics (old school computer vision techniques that are still relevant today) and then the second part will be deep learning related stuff :)

Why is Computer Vision important?

I personally understand it as the bridge between the virtual world and the physical world as we know it. It is the eyes that we implant on machines for them to “gain consciousness” and navigate our world in intelligent ways that’s never been explored before. It is actually used in:

• Robots,
• Self-Driving Cars,
• Smart Stores (like Amazon Go),
• Optimizing Marketing Content,
• Facial Recognition Applications,
• Industries like — Medical Imaging/Operations, Military, Entertainment, etc

There’s TONS of other Computer Vision projects that’s going on right now and undoubtedly, Computer Vision applications will proliferate and then seamlessly integrate into our daily lives — changing the way we live as we know it. So without further ado,

Let’s get started! ᕙ(^▿^-ᕙ)

#technology #computer-vision #programming #deep-learning #tech