You guys come back in this lecture we're going to be running through all the hardware requirements of
this course.
Remember that you can get all these components from either Amazon Iris components or your local electronics
hardware store.
First up is the obvious one which is a Raspberry Pi tree.
You can use any model as long as it's a Razaleigh by three or later.
The 5 to 1 and 0 will not work.
The one we're going to use is Model B plus.
Make sure you have a Raspberry Pi power supply which can supply at least two amps.
Any lower than you may encounter some power and performance related issues.
Speaking of power to accelerate our planning models we require an Intel move this new Copestake this
device can improve your object detection frame rate from 0.5 the second to around 6 to eight seconds.
Quite impressive to install our Raspberry Pi operating system.
We need a fast SD card which is at least 32 gigabytes of storage.
By fast I mean Estacado there is a cluster in what you aitches Class 3.
These ratings refer to the read and write speed of the SD card.
The first is the better but also more expensive.
If you strip glassily is too pricey for you then you are just glass one will be adequate for the scores.
If your god does not come with an SD card reader then he can get us the cartridges so that we can copy
the Raspberry Pi image from our PC to the SD card.
Other peripherals that we need is a Raspberry Pi case and a UDP cable to connect to the net and finally
we require a webcam to perform realtime object detection on our Raspberry Pi.
You left a link to the list of hardware and I'll get up Ribault attested of course.
Thank you for watching and we'll see you in the next lecture.