Sipeed I2S Mic is a mini size single MEMS microphone that can be connected to MAIX development boards Dock/Go/Bit as well as the Sipeed Binocular camera easily. it's high sensitivity, low Noise and cost-effective.
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AI is pervasive today, from consumer to enterprise applications. With the explosive growth of connected devices, combined with a demand for privacy/confidentiality, low latency and bandwidth constraints, AI models trained in the cloud increasingly need to be run at the edge.
MAIX is Sipeed’s purpose-built module designed to run AI at the edge, we called it AIoT. It delivers high performance in a small physical and power footprint, enabling the deployment of high-accuracy AI at the edge, and the competitive price make it possible embed to any IoT devices. As you see, Sipeed MAIX is quite like Google edge TPU, but it act as master controller, not an accelerator like edge TPU, so it is more low cost and low power than AP+edge TPU solution.
Inherit the advantage of K210's small footprint, Sipeed MAIX-I module, or called M1, integrate K210, 3-channel DC-DC power, 8MB/16MB/128MB Flash (M1w module add wifi chip esp8285 on it) into Square Inch Module. All usable IO breaks out as 1.27mm(50mil) pins, and pin's voltage is selectable from 3.3V and 1.8V.
Sipeed I2S Mic is a mini size single MEMS microphone that can be connected to MAIX development boards Dock/Go/Bit as well as the Sipeed Binocular camera easily. it's high sensitivity, low noise and cost-effective.
MAIX support original standalone SDK, FreeRTOS SDK base on C/C++.
It support FPIOA, GPIO, TIMER, PWM, Flash, OV2640, LCD, etc. And it have zmodem, vi, SPIFFS on it, you can edit python directly or sz/rz file to board. We are glad to see you contribute for it:
https://github.com/sipeed/MaixPy //Maixpy project
https://github.com/sipeed/MaixPy_Doc_Us_En_Backup //Maixpy wiki project
MAIX support fixed-point model that the mainstream training framework trains, according to specific restriction rules, and have model compiler to compile models to its own model format.
It support tiny-yolo, mobilenet-v1, and, TensorFlow Lite! Many TensorFlow Lite model can be compiled and run on MAIX! And We will soon release model shop, you can trade your model on it.
|MEMS microphones : MSM261S4030H0||
|Supply voltage of external power supply||3.3V ±0.2V|
|Supply current of external power supply||>1mA|
|Range of working temperature||-30℃ ~ 85℃|
|Sipeed I2S Mic||1|