Sipeed Maix I Module W O Wifi ( 1St Risc V 64 Ai Module K210 Inside )

Rs. 759.00 Rs. 866.00

Product Code: AI-DEV
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Availability: 2-3 Days
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Sipeed MAix: AI at the edge

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 makes it possible to embed to any IoT devices.
As you see, Sipeed MAIX is quite like Google edge TPU, but it acts as a master controller, not an accelerator like edge TPU, so it is more low cost and low power than AP+edge TPU solution.

MAix’s Advantage and Usage Scenarios:

MAIX is not only hardware but also provide an end-to-end, hardware + software infrastructure for facilitating the deployment of customers’ AI-based solutions.
Thanks to its performance, small footprint, low power, and low cost, MAIX enables the broad deployment of high-quality AI at the edge.
MAIX isn’t just a hardware solution, it combines custom hardware, open software, and state-of-the-art AI algorithms to provide high-quality, easy to deploy AI solutions for the edge.
MAIX can be used for a growing number of industrial use-cases such as predictive maintenance, anomaly detection, machine vision, robotics, voice recognition, and many more. It can be used in manufacturing, on-premise, healthcare, retail, smart spaces, transportation, etc.
MAix’s CPU

SPECIFICATION
CPU	RISC-V Dual Core 64bit, 400Mh adjustable
FPU	IEEE754-2008 compliant high-performance pipelined FPU
Debugging Support	High-speed UART and JTAG interface for debugging
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 640×480
FreeRtos & Standard SDK	Supports FreeRtos and Standard development kit.
MicroPython Support	Support MicroPython on M1
Machine vision	Machine vision based on convolutional neural network
Machine hearing	High performance microphone array processor
Supply Voltage(V)	5.0 ±0.2
Supply Current(mA)	>300
Working Temperature(℃)	-30℃ ~ 85℃

OVERVIEW:

-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

-16-bit wide internal audio signal processing

-Dual-core RISC-V 64bit IMAFDC, on-chip huge 8MB high-speed SRAM (not for XMR :D), 400MHz frequency

-Up to 192kHz sample rate

PACKAGE INCLUDES:

1 PCS x Sipeed Maix I Module Without Wifi-Ai Module K210

https://github.com/kendryte

https://github.com/sipeed/MaixPy

https://github.com/sipeed/MaixPy_Doc_Us_En_Backup

https://youtu.be/BGctumZuhao

15 days

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