How to link a computer processor to an Arduinno on a board? [closed]

Question

I am completely new to Arduinno, so please forgive if the question is stupid.

Here is the problem: I have a project where I want an Arduino (or similar microchip board) to handle some sensors and actuators. But I need very advanced "artificial intelligence" to handle the data provided by those sensors. There are two major obstacles for placing this intelligence on the Arduinno, according to my researches.

• First, the Arduinno is coded in a language similar to C: I could of course find a way to write the intelligence, but it will be a time-consuming task for the developper
• Second, I might encounter a problem with memory: I will store heavy matrix of data, do complicated calculation, and this might be too much for an Arduinno
• Third, I read on stackexchange that there are some ways to compile Python code on Arduinno boards, such as the Arduinno Mega. So I can code this intelligence in Python (which is an easy task), and compile the resulting code on Arduinno. However, I will reach a caveat: some libraries I will use will be entirely compiled, and this will take too much memory on an Arduinno (such as the second issue I mentionned)

So I have another solution, but I am not sure if it is state-fo-the-art, or even a feasible solution: I would like to separate two tasks:

• Write an Arduinno code to handle the sensors and create numeric data
• Write a Python code on my computer and compile it as an executable file on my computer
• Then somehow, I "extract" the processor of my comouter (Intel, by the way) and I plug it on the Arduinno board. The Arduinno sends the data to the processor, and the processor runs permanently the Python file and gives back data

So question:

• Is it possible overall?
• Was it ever made?
• What communication links are good for exchanging data between processor and Arduinno microchip: USB, Serial, Ethernet?
• How can I handle the input of the processor, so that it collects data from the Arduinno and then uses it in the Python code?

Answer 1

It sounds like you need a lot of compute power. You can either put the sensors and AI on one device (and @majenko's suggestion of a Raspberry Pi would be a direction to pursue) or you need two devices, one to manage the data collection - Arduino, perhaps - and one to do the AI. We don't know enough about your post-processing and AI to make a good recommendation, but, as you already have a PC with Python running on it, an Arduino talking to the PC would be a good start.

You didn't say which Arduino you're considering, but as most people mean "Uno" when the speak of a generic Arduino, I'd just suggest that an Uno is far too under-resourced for the post-processing part of your project, but probably ideal for the data collection. Cross-compiling your Python code for an Uno still doesn't address its processing speed and memory size limitations.

There are, of course, a lot of "Arduino" products, some with considerably more resources, that may approach your needs - I'm thinking of the Arm-based boards, here - but I've no way of evaluating your project needs at that level.

My own first approach would be to use what you have, to start with: an Uno collecting data and sending it to your PC. Once you have something running, you'll understand the needs and issues better and if you still want a stand-alone solution at that point, you'll be much better able to make that choice.

Answer 2

I may handle this case like using pyserial library I just log the data to my laptop and then using python to do your Advance AI code part.

1. Send the sensor data as a combined String via Arduino serial port.
2. read it using pyserial library
3. add a data logging mechanism if you need or parallel process the data you gathered serially by cast them to their own data type.

Hope this may help you.

Thank you

Answer 3

For AI use there is the K210 based sipeed maix board. Dual core 400MHz, plus an AI coprocessor.

Answer 4

I suggest that you use a different family of processor than the 8-bit AVR chips that are supported by the Arduino IDE (and please fix your spelling errors, all the double-letter words are very distracting). A good example might the the Teensy 3.2 or Teensy 3.6 offered here https://www.pjrc.com/ "Version 3.6 features a 32 bit 180 MHz ARM Cortex-M4 processor with floating point unit" Arduino is programmed in C++, see if your code can be exported in C++ and import it into the IDE for compiling for the selected uC.