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First write your code. On your computer. Make a prototype.

Then (according to the processing time of your algorithm), decide what hardware to buy.

Anyway, there will be other factors to take into account, besides processing speed:

• What's the available space?
• What's the available power?
• What's your budget?
• Do you have other important factors? Vibrations, dust, heat, etc.
• What connectivity do you need (for the cameras).

To be short: can you use a desktop computer (probably the simplest solution) or do you need an embedded computer?

Ah, another thing: If you want to use a deep neural network on an embedded system, check out the Movidius AI stick. It might be what you are looking for.

First write your code. On your computer. Make a prototype.

Then (according to the processing time of your algorithm), decide what hardware to buy.buy. Not the other way around.

Anyway, there will be other factors to take into account, besides processing speed:

• What's the available space?
• What's the available power?
• What's your budget?
• Do you have other important factors? Vibrations, dust, heat, etc.
• What connectivity do you need (for the cameras).

To be short: can you use a desktop computer (probably the simplest solution) or do you need an embedded computer?

Ah, another thing: If you want to use a deep neural network on an embedded system, check out the Movidius AI stick. It might be what you are looking for.