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Module with RISC-V Dual Core 64bit chip for AI applications with a wide selection of peripheral systems and the ESP8285 WiFi system. It enables the implementation of advanced projects using image recognition, sounds and deep learning. Version with WiFi. Seeed Studio 114991684
Sipeed M1W AI Module is a Sipeed module designed to run artificial intelligence (AIoT). It provides high performance with low physical load and power, enabling the implementation of precise artificial intelligence, and the competitive price allows it to be used on any IoT device. Sipeed MAix is not only a device, but also a comprehensive hardware and software infrastructure facilitating the implementation of solutions based on artificial intelligence.
The module is designed in the form of a small plate with pads for surface mounting. Provides a wide range of peripheral systems: FPIOA, UART, GPIO, SPI, I2C, I2S, WDT, TIMER, RTC etc. The board has the ESP8285 WiFi module, an external Flash memory and a DC-DC converter. The module was closed in a tin housing. A connector for an external WiFi antenna has been led out.

MAIX supports the original standalone SDK, FreeRTOS SDK based on C/C++. Has support in the form of support in Micropython.
MAIX can be used for many industrial applications such as predictive maintenance, anomaly detection, machine vision, robotics, voice recognition and many more. It can be used in production, factories, healthcare, retail and transport.
Manufacturer BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
Responsible person BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
Module with two GC0328 cameras designed to work with Sipeed MAix kits. The set has been designed for AI and stereo vision applications. Seeed Studio 114991702
Evaluation kit with RISC-V Dual Core 64bit chip and WiFi ESP32 chip. Equipped with a USB-UART converter, MEMS microphone, OV2640 camera and a microSD card slot. The set is compatible with Arduino UNO Rev3. Seeed Studio 102991184
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Module with RISC-V Dual Core 64bit chip for AI applications with a wide selection of peripheral systems and the ESP8285 WiFi system. It enables the implementation of advanced projects using image recognition, sounds and deep learning. Version with WiFi. Seeed Studio 114991684