Price: $48.01
(as of Mar 11, 2024 12:23:53 UTC – Details)
1.
Descriptions:
This version K210 development board carry Sipeed M1/M1W AI module , the core of the module is one system level chip (Soc) Kendryte K210 that integrated machine vision and machine hearing ability .Use TSMC’s ultra-low power 28nm advanced process,have dual-core 64-bit processors,have better power performance, stability and reliability. This program easy develop , Can be deployed in the user’s product in the shortest time, giving the product artificial intelligence.Kendryte K210 Positioning AI with IoT’s SoC,meanwhile, it is very convenient to use MCU.
2.Feature:
1>.Onboard Sipeed M1 or M1Wmodule, internal have Kendryte K210 artificial intelligence Soc chip.
1>.CPU : RISC-V 64bit dual core processor, 400Mhz standard frequency (overclockable)
2>.FPU specification: meet IEEE754-2008 standard.
3>.Image Identification: QVGA at 60FPS/VGA at 30FPS
4>.Deep learning framework: TensorFlow/Keras/Darknet
5>.Peripheral:FPIOA, UART, GPIO, SPI, IIC, IIS, WDT, TIMER, RTC etc
6>.Neural network processor (KPU):
6.1>.Support mainstream training framework according to specific restrictions trained fixed-point model.
6.2>.No direct restrictions on the number of network layers,support separate configuration of each layer of convolutional neural network parameters,including the number of input and output channels, input and output line width column height.
6.3>.Support for two convolution kernels 1×1 and 3×3
6.4>.Support for any form of activation function.
6.5>.The maximum supported neural network parameters range from 5.5MB to 5.9MB in real-time work.
Date First Available : April 20, 2021
Manufacturer : Lufasa
ASIN : B0931WW7MH
(as of Mar 11, 2024 12:23:53 UTC – Details)
1.
Descriptions:
This version K210 development board carry Sipeed M1/M1W AI module , the core of the module is one system level chip (Soc) Kendryte K210 that integrated machine vision and machine hearing ability .Use TSMC’s ultra-low power 28nm advanced process,have dual-core 64-bit processors,have better power performance, stability and reliability. This program easy develop , Can be deployed in the user’s product in the shortest time, giving the product artificial intelligence.Kendryte K210 Positioning AI with IoT’s SoC,meanwhile, it is very convenient to use MCU.
2.Feature:
1>.Onboard Sipeed M1 or M1Wmodule, internal have Kendryte K210 artificial intelligence Soc chip.
1>.CPU : RISC-V 64bit dual core processor, 400Mhz standard frequency (overclockable)
2>.FPU specification: meet IEEE754-2008 standard.
3>.Image Identification: QVGA at 60FPS/VGA at 30FPS
4>.Deep learning framework: TensorFlow/Keras/Darknet
5>.Peripheral:FPIOA, UART, GPIO, SPI, IIC, IIS, WDT, TIMER, RTC etc
6>.Neural network processor (KPU):
6.1>.Support mainstream training framework according to specific restrictions trained fixed-point model.
6.2>.No direct restrictions on the number of network layers,support separate configuration of each layer of convolutional neural network parameters,including the number of input and output channels, input and output line width column height.
6.3>.Support for two convolution kernels 1×1 and 3×3
6.4>.Support for any form of activation function.
6.5>.The maximum supported neural network parameters range from 5.5MB to 5.9MB in real-time work.
Date First Available : April 20, 2021
Manufacturer : Lufasa
ASIN : B0931WW7MH