• 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
