I have a nexys A7 fpga but I don’t know what hobby project I should aim for

far i know, verilog only has registers, so if i want to make my shared SRAM banks, i will use

reg bank[SIZE];

which gives me access time of 1 clock... but sram as far i know is more latencious than this...

how do you consider this in your design?

Im initiating a project that will rely on a teensy 4.1 to control pwm switches and calculate different phases of the operation. Programing is with a teensy version of ardunio.

What im learning is that I need a fpga to calculate and control 3 (or 6) serves. My data is coming in from 3 ic2 sources and 12 inputs from it's.

What is the recommendation of a fpga development board (small is better) that uses ardunio-like programming suite. Id like simple ic2, spi, part inputs.

Thanks

Hi! A lot of you asked me to make WavePaint open source, and you were right. So here it is: it's now open source, and anyone can use it, play around with the code and contribute improvements.

👉 WavePaint on GitHub
👉 Website
👉 Donate

If you like it, go give it a star! ⭐ I've put a lot of work into it, and I think it's a pretty handy tool.

And if you'd like to support the move to open source, there's also Ko-fi.

Cheers!

Hi everyone,
I work in automotive software and want to build a solid understanding of Image Signal Processing (ISP) for ADAS cameras. I’m new to ISP, and I find vendor documentation difficult to follow without understanding the basics first.
I’m looking for a structured learning path covering:
Camera fundamentals: How image sensors work, RAW images, Bayer patterns, exposure, gain, and noise.
ISP pipeline: Demosaicing, white balance, noise reduction, color correction, HDR, and tone mapping.
ISP tuning: How to evaluate image quality and understand the trade-offs between different settings.
ADAS applications: How ISP settings affect object detection and perception, especially in low light or high-contrast scenes.
Which courses, books, YouTube playlists, or practical tutorials would you recommend? Free and paid options are both welcome. Hands-on exercises using RAW images, Python, or OpenCV would be especially helpful.
If you work in automotive imaging, where would you start, and in what order would you learn these topics? Please share links or resource names.
Thanks!

Hi everyone,
I work in automotive software and want to build a solid understanding of Image Signal Processing (ISP) for ADAS cameras. I’m new to ISP, and I find vendor documentation difficult to follow without understanding the basics first.
I’m looking for a structured learning path covering:
Camera fundamentals: How image sensors work, RAW images, Bayer patterns, exposure, gain, and noise.
ISP pipeline: Demosaicing, white balance, noise reduction, color correction, HDR, and tone mapping.
ISP tuning: How to evaluate image quality and understand the trade-offs between different settings.
ADAS applications: How ISP settings affect object detection and perception, especially in low light or high-contrast scenes.
Which courses, books, YouTube playlists, or practical tutorials would you recommend? Free and paid options are both welcome. Hands-on exercises using RAW images, Python, or OpenCV would be especially helpful.
If you work in automotive imaging, where would you start, and in what order would you learn these topics? Please share links or resource names.
Thanks!