M1 AI Module K210 Deep Learning (ไม่มี WiFi)

• CPU: RISC-V dual-core 64 bit 400Mhz overclockable
• Debugging Support: high-speed UART and JTAG interface for debugging
• Neural Network Processor: each layer of convolutional neural network parameter can be configured separately, including the number of input and output channels, and the input and output line width and column height. Support for 1×1 and 3×3 convolution kernels
• Image Recognition: QVGA@60FPS/VGA@30FPS
• Audio Processor: support up to 8 channels of audio input data, ie 4 stereo channels

                                  support for 12-bit, 16-bit, 24-bit and 32-bit input data widths 

                                  Up to 192KHz sample rate

• Static Random-Access Memory (SRAM): the SRAM is split into two parts, 6MiB of on-chip general-purpose SRAM memory and 2 MiB of on-chip AI SRAM memory
• Field Programmable IO Array: FPIOA allows users to map 255 internal functions to 48 free IOs on the chip
• Digital Video Port: maximum frame size 640x480
• FFT Accelerator: the FFT accelerator is a hardware implementation of the Fast Fourier Transform(FFT)
• Deep Learning Frame: TensorFlow/Keras/Darknet
• Peripherals: FPIOA, UART, GPIO, SPI, I2C, I2S, WDT, TIMER, RTC etc.

• Dimension: 25.4  25.4 3.3mm/110.13”
• 72-pin Full Pin Lead-out
• Input Voltage: 5.0V±0.2V（DC）
• Input Current: >300mA（5V）
• Operating Temperature: -30ºC~85ºC
• Compliant With IEEE754-2008 Standard

DOCUMENTS

• AI Module-M1 x 1