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New products
New products
zł151.48 tax excl.
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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Description
Sipeed Maixduino for RISC-V AI + IoT is a set with the 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.
Sipeed Maixduino for RISC-V AI + IoT is an evaluation kit with RISC-V Dual Core 64bit chip clocked at 400MHz and WiFi ESP32 module. Equipped with a USB-UART converter, OV2640 camera, MEMS microphone, microSD card slot as well as an audio converter and a connector for the display. The set is compatible with Arduino Uno Rev3.
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.
Features
- Processor: RISC-V Dual Core 64-bit, 400 MHz:
- Dual-core RISC-V 64-bit IMAFDC, 8 MB SRAM memory, frequency 400 MHz (up to 800 MHz)
- KPU (Neural Network Processor), 64 KPUs with a width of 576 bits, support convolutional kernels, any form of activation. Offers 0.25TOPS @ 0.3 W, 400 MHz, and after overclocking to 800 MHz, offers 0.5TOPS (object recognition 60 FPS VGA)
- APU (Audio Processor), support for 8 microphones, sampling frequency up to 192 KHz, FFT unit inside, Mic Array
- Flexible FPIOA (Field Programmable IO Array) chip, mapping 255 functions to all 48 GPIOs on the chip
- DVP camera interface and MCU LCD interface, you can connect a DVP camera, run the algorithm and display on the LCD screen
- Peripherals: AES accelerator, SHA256 accelerator, FFT accelerator (other than APU), OTP, UART, WDT, IIC, SPI, I2S, TIMER, RTC, PWM etc.
- Onboard ESP32 module support 2.4G 802.11. b/g/n and Bluetooth 4.2
- Arduino Uno Rev3 form factor, Arduino compatible interface
- Onboard omnidirectional I2S digital output MEMS Microphone
- 24P 0.5mm FPC connector for DVP Camera
- 8bit MCU LCD 24P 0.5mm FPC connector
- Support self-elastic micro SD card holder
- Reset and boot button; 3W DAC+PA Audio output
- Just connect the USB Type-C cable to complete the download
- Machine vision based on convolutional neural network
- High performance microphone array processor for machine hearing
- Support MaixPy IDE, Arduino IDE, OpenMV IDE, and PlatformIO IDE
- Support Tiny-Yolo, Mobilenet and TensorFlow Lite for deep learning
Description of connectors and leads
Kit contains
- Sipeed Maxiduino
- OV2640 camera module
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