IS A MCU ACTUALLY MORE COMPETITIVE THAN ESP32-S2FN4R2 I FOUND IT FOR 3EURO $ AT ALIEXPRESS ? WHAT ALTERNATIVE I CAN HAVE TO THE MICRO PRO 32U4 FOR MAKING USB JOYSTICK AND KEYBOARD ? i also buyed a tang nano 9k but not started to upload on it since im a beginner at arduino ide then not ready but i still wonder if this tech or the 20k is able to record at 30f/s any resolution on msd and display it by hdmi or usb otg or by the embeded screen ?
These are not MCUs, the sipeed tang series are FPGAs. So they are used for totally different things than an esp32. As for USB capable microcontrollers, there are loads of them, there are some esp32 ones, there is the rp2040, there are the teensy boards, there are the arduino boards with usb hardware and STM32 boards have usb as well. It just depends on how experienced you are. So you bought a tang nano 9k? It is nothing to do with the arduino ide, and works in a totally different way to microcontrollers, you should learn what an FPGA is. There are examples for the tang boards, including the 4K of being able to take a video feed from a camera and display it either over hdmi or the lcd screen. The max resolution the boards can comfortably manage is 1280 x 720, that is due to a maximum clock speed limitation and that doesn’t really change between the boards. This will be very far beyond your abilities to implement though because FPGAs are not microcontrollers, you don’t write code to run on them, instead you write code that describes digital circuits, they are totally different things. To program FPGAs it requires totally different knowledge from programming microcontrollers like the arduino, writing the code might look similar but the code does totally different things and the languages are totally different.
@@conorstewart2214 how much it can be worth to spend time more on fpga than mcu ? i need to control motor and analyse video for robotic and the esp32 seem a limited to 10f/s at super low resolution like 240p or worst
@@omnianti0 FPGAs can usually give much better performance, than microcontrollers, but this one isn't really powerful. Anyway if you need a lot of computing power, or low-level control (up to level of logic gates) will give you signifficant advantage. Despite this usually at budget RISC-V CPU could be a much better choice. 'Powerful' FPGAs are very expensive, and the Tangs do run only a few thousand of gates at ~ 27 MHz. In many cases it will signifficantly outperform microcontrollers, but despite it's signifficantly lower efficiency CPUs will often win due to sheer clock speed/transistor count advantage.
@@kacperrutkowski6350 duno what it mean : what i considere is 720p treatement as object recognition contour detour highlight or just basic text on picture and recording for begining
@@omnianti0 sorry for late reply, YT have removed my previous one (probably due to links). Tang Nano 9k has only ~ 230 GOPS of computing power for NAND logic operations and at most around 100 MFLOPS of FP32 computing power. Reducing resolution to 16 bit per pixel can increase computing power to ~ 400 MFLOPS, but it's still far from being 'good enough'. I would rather advice to stay away from FPGAs unless the task is almost perfect for then. Here I would go for Raspberry Pi 4 Compute Module (at ~ 1000x Tang Nano 9k FP32 computing power) or even reprogramming SSDs to use them as processors, just as Mystic AI have done, if you do need even more computing power (it can easilly give up to 10 TIOPS for 16-bit), however is much more difficult as it required fully rewriting device's software.
Thank you and happy new year. Bonne année .Tenha um bom ano.
É possível embarcar um I.A nesse tipo de placa? Por exemplo, para reconhecer um timbre de voz em tempo real.
IS A MCU ACTUALLY MORE COMPETITIVE THAN ESP32-S2FN4R2 I FOUND IT FOR 3EURO $ AT ALIEXPRESS ?
WHAT ALTERNATIVE I CAN HAVE TO THE MICRO PRO 32U4 FOR MAKING USB JOYSTICK AND KEYBOARD ?
i also buyed a tang nano 9k but not started to upload on it since im a beginner at arduino ide then not ready
but i still wonder if this tech or the 20k is able to record at 30f/s any resolution on msd and display it by hdmi or usb otg or by the embeded screen ?
These are not MCUs, the sipeed tang series are FPGAs. So they are used for totally different things than an esp32.
As for USB capable microcontrollers, there are loads of them, there are some esp32 ones, there is the rp2040, there are the teensy boards, there are the arduino boards with usb hardware and STM32 boards have usb as well. It just depends on how experienced you are.
So you bought a tang nano 9k? It is nothing to do with the arduino ide, and works in a totally different way to microcontrollers, you should learn what an FPGA is.
There are examples for the tang boards, including the 4K of being able to take a video feed from a camera and display it either over hdmi or the lcd screen. The max resolution the boards can comfortably manage is 1280 x 720, that is due to a maximum clock speed limitation and that doesn’t really change between the boards. This will be very far beyond your abilities to implement though because FPGAs are not microcontrollers, you don’t write code to run on them, instead you write code that describes digital circuits, they are totally different things.
To program FPGAs it requires totally different knowledge from programming microcontrollers like the arduino, writing the code might look similar but the code does totally different things and the languages are totally different.
@@conorstewart2214 how much it can be worth to spend time more on fpga than mcu ?
i need to control motor and analyse video for robotic and the esp32 seem a limited to 10f/s at super low resolution like 240p or worst
@@omnianti0 FPGAs can usually give much better performance, than microcontrollers, but this one isn't really powerful. Anyway if you need a lot of computing power, or low-level control (up to level of logic gates) will give you signifficant advantage.
Despite this usually at budget RISC-V CPU could be a much better choice. 'Powerful' FPGAs are very expensive, and the Tangs do run only a few thousand of gates at ~ 27 MHz. In many cases it will signifficantly outperform microcontrollers, but despite it's signifficantly lower efficiency CPUs will often win due to sheer clock speed/transistor count advantage.
@@kacperrutkowski6350 duno what it mean : what i considere is 720p treatement as object recognition contour detour highlight or just basic text on picture and recording for begining
@@omnianti0 sorry for late reply, YT have removed my previous one (probably due to links). Tang Nano 9k has only ~ 230 GOPS of computing power for NAND logic operations and at most around 100 MFLOPS of FP32 computing power. Reducing resolution to 16 bit per pixel can increase computing power to ~ 400 MFLOPS, but it's still far from being 'good enough'. I would rather advice to stay away from FPGAs unless the task is almost perfect for then. Here I would go for Raspberry Pi 4 Compute Module (at ~ 1000x Tang Nano 9k FP32 computing power) or even reprogramming SSDs to use them as processors, just as Mystic AI have done, if you do need even more computing power (it can easilly give up to 10 TIOPS for 16-bit), however is much more difficult as it required fully rewriting device's software.