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ELF AIOT K210 Mainboard
ELF AIOT K210 is a powerful AI controller board for artificial intelligence education. This mainboard can perform artificial intelligence functions such as face recognition, voice recognition, size recognition, shape recognition, number detection, color recognition, machine learning, etc.
Offers both RJ11 and open-source I2C, I/O pin port, ELF AIOT K210 mainboard can work seamlessly with Weeemake robot sets or any open-source electronics you have in hand.
Onboard 2.4 inch TFT screen and 2MP rotatable camera, offer machine vision and deep learning ability for your robot.
With this mainboard, you can start your AI education journal immediately.
*Gift: Type-C cable, microSD card, microSD card reader
Offers both RJ11 and open-source I2C, I/O pin port, ELF AIOT K210 mainboard can work seamlessly with Weeemake robot sets or any open-source electronics you have in hand.
Onboard 2.4 inch TFT screen and 2MP rotatable camera, offer machine vision and deep learning ability for your robot.
With this mainboard, you can start your AI education journal immediately.
*Gift: Type-C cable, microSD card, microSD card reader
Details
Parameter
ELF AIOT K210 is a robot controller for artificial intelligence education. It integrates a display screen, a camera, microphone, and speaker in one board, with both easy-wiring RJ11 port and open-source I/O, I2C ports (3.3V or 5V).
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ELF AIOT K210 Mainboard
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SKU: 131012
Working Voltage: 6-12V
Chip: K210
Dual-core 64-bit 400MHz (Turbo frequency up to 600MHz)
SRAM: Built-in 8M byte
Image recognition: QVGA@60fps/VGA@30fps
Network model: support YOLOv3 \ Mobilenetv2 \ TinyYOLOv2
\Face recognition etc.
Deep learning framework: support TensorFlow/Keras/Darknet/Caffe
Mainstream framework
Peripherals: FPIOA, UART, GPIO, SPI, I2C, 12S, TIMER
Video processing: Neural Network Processor (KPU)
·FPU meets IEEE754-2008 standard
·Audio processor (APU)
·Fast Fourier Transform Accelerator (FFT)
Communication: Type-C
Wireless communication chip: ESP32 DOWDQ6 (Xtensa 32-bit)
Onboard components: 2.4-inch TFT screen, rotatable camera, TF card slot, speaker, microphone, reset button, Boot button, power switch, 3.3V/5V switch.
Ports: 4xRJ 11 port, 20 groups of IO pins + 2 groups of I2C pins, 4x DC motor port, DC power input interface
Working temperature: -30℃-85℃
Size (LxWxH): 88x75x20mm
Working Voltage: 6-12V
Chip: K210
Dual-core 64-bit 400MHz (Turbo frequency up to 600MHz)
SRAM: Built-in 8M byte
Image recognition: QVGA@60fps/VGA@30fps
Network model: support YOLOv3 \ Mobilenetv2 \ TinyYOLOv2
\Face recognition etc.
Deep learning framework: support TensorFlow/Keras/Darknet/Caffe
Mainstream framework
Peripherals: FPIOA, UART, GPIO, SPI, I2C, 12S, TIMER
Video processing: Neural Network Processor (KPU)
·FPU meets IEEE754-2008 standard
·Audio processor (APU)
·Fast Fourier Transform Accelerator (FFT)
Communication: Type-C
Wireless communication chip: ESP32 DOWDQ6 (Xtensa 32-bit)
Onboard components: 2.4-inch TFT screen, rotatable camera, TF card slot, speaker, microphone, reset button, Boot button, power switch, 3.3V/5V switch.
Ports: 4xRJ 11 port, 20 groups of IO pins + 2 groups of I2C pins, 4x DC motor port, DC power input interface
Working temperature: -30℃-85℃
Size (LxWxH): 88x75x20mm
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