Sipeed Maix-1 RISC-V Dual Core 64bit With FPU AI Module Core Board Development Board Mini PC

FEATURES OVERVIEW CPU : RISC-V Dual Core 64bit, 400Mh adjustable Powerful dual-core 64-bit open architecture-based processor with rich community resources FPU Specifications IEEE754-2008 compliant high-performance pipelined FPU Debugging Support High-speed UART and JTAG interface for debugging Neural Network Processor (KPU) Supports the fixed-point model that the mainstream training framework trains according to specific restriction rules There is no direct limit on the number of network layers, and each layer of convolutional neural network parameters can be configured separately, including the number of input and output channels, and the input and output line width and column height Support for 1x1 and 3x3 convolution kernels Support for any form of activation function The maximum supported neural network parameter size for real-time work is 5MiB to 5.9MiB The maximum supported network parameter size when working in non-real time is (flash size - software size) Audio Processor (APU) Up to 8 channels of audio input data, ie 4 stereo channels Simultaneous scanning pre-processing and beamforming for sound sources in up to 16 directions Supports one active voice stream output 16-bit wide internal audio signal processing Support for 12-bit, 16-bit, 24-bit, and 32-bit input data widths Multi-channel direct raw signal output Up to 192kHz sample rate Built-in FFT unit supports 512-point FFT of audio data Uses system DMAC to store output data in system memory Static Random-Access Memory (SRAM) The SRAM is split into two parts, 6MiB of on-chip general-purpose SRAM memory and 2MiB of on-chip AI SRAM memory, for a total of 8MiB Field Programmable IO Array (FPIOA/IOMUX) FPIOA allows users to map 255 internal functions to 48 free IOs on the chip Digital Video Port (DVP) Maximum frame size 640x480 FFT Accelerator The FFT accelerator is a hardware implementation of the Fast Fourier Transform (FFT) SOFTWARE FEATURES FreeRtos & Standard SDK Support FreeRtos and Standrad development kit. MicroPython Support Support MicroPython on M1 Machine vision Machine vision based on convolutional neural network Machine hearing High performance microphone array processor HARDWARE FEATURES Supply voltage of external power supply 4.8V ~ 5.2V Supply current of external power supply >600mA Temperature rise