G'day beautiful people. It's almost Christmas. Sorry I haven't blogged for a while, but I've been super busy, doing incredible work in the cloud with AWS. But my Tesla Model 3 has inspired me to blog yet again, this time 1 day before Christmas Eve.
So...I have had a problem with my Tesla Model 3 windscreen wipers for about 3 weeks now. My partner was driving the car, and they just went berserk. Simple fix...turn them off. Well...that worked for the last 3 weeks because I haven't been out in the rain. But today...the heavens opened and I needed them. So after switching to Auto....they furiously wiped back and forth...even though to start with the rain was only spitting.
I looked a quite a few forums and it is a common problem. Good thread here on the problem:
What is the fix? Make sure the centre front-facing windscreen camera is clean and so too must be your forward-facing side cameras. After cleaning mine...it worked a treat. Keep reading if you're interested to know why this fix most likely worked.
Me being a curious person and wanting to understand how the wipers work, I dug a little bit deeper.
Well they use the camera system, and a clever piece of technology called Artifical Intelligence (AI), to detect whether there is rain on the windshield and they look for other visual weather cues. From my research and knowledge of the Tesla Model 3, and my knowledge of AI netural networks, I have deduced the following:
The camera that is looking out at the windscreen, which is positioned between the driver and passenger on the front windscreen, is most likely detecting the rain, and the front facing left and right cameras are looking for weather cues.
The 3 cameras are fed data in a lab somewhere in Tesla. The data consists of real-world vision that shows that the weather is raining. Lots of different types of data needs to be fed into the cameras, so that the AI, well neural network to be precise, can LEARN how to detect rain. This is known in data science as TRAINING. The neural network is really a mathematical representation of an algorithm, that can learn to do new things. The type of algorithm is called a neural network. A neural network is a type of algorithm that mimcs how the human brain works. The word neural refers to neurons, which are small biological systems in the brain that help us all learn.
By replicating a similar technique using mathematics, machines can be taught to learn, just like humans. If you remember the stories about AI beating Lee Sodol in the game of Go, that's the same technique.
Anyway...once the neural network is trained the output is a model. The model is then tested by feeding more live data, to ensure that it functions correctly. It is doesn't function in all scenarios, that new learnings are fed back into the original neural network and new models can be TRAINED again to produce better results.
This process usually takes weeks or months, depending on the complexity of the problem being solved.
If you'd like to learn more about neural networks, check out this awesome article:
And if you'd like to have a play with neural networks, also known as Deep Learning, you can stuck in here with AWS:
Paul Colmer is a digital coach and a freelance technology consultant. Paul has an infectious passion for empowering others to learn and to applying disruptive thinking in an engaging and positive way.