Metal Coating: | Copper |
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Mode of Production: | SMT |
Layers: | Multilayer |
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K210 development board chip parameters | 1.Core: RISC-V Dual Core 64bit, with FPU |
2.Main frequency: 400MHz (overclockable to 600MHz) | |
3.SRAM: built-in 8M Byte | |
4.Image recognition: QVGA @ 60fps/ VGA @ 30fps | |
5.Speech recognition: microphone array (8mics) | |
6.Network model: support YOLOv3, Mobilenetv2, TinyYOLOv2, face recognition, etc. | |
7.Deep learning framework: support mainstream frameworks such as TensorFlow/Keras/Darknet/Caffe | |
8.Peripherals: FPIOA/UART/GPIO/SPI/I2C/I2S/TIMER | |
9.Video processing: Neural network processor (KPU) FPU meets IEEE754-2008 standard Audio processor (APU) Fast Fourier transform accelerator (FFT) |
Development board parameters | 1. Onboard resources: Buttons*2 RGB light*1 MEMS Microphone*1 USB to UART 125Mbit Flash*1 |
2. Onboard interfaces: USB Type-C interface 24PIN DVP camera interface 24PIN LCD interface MicroSD card slot All IO pin headers are lead out |
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3. Dimensions: 53.3*25.4mm | |
4. Supply voltage: 5.0V @ 300mA (supply current must be greater than 300mA) | |
5. Operating temperature: -30ºC~+85ºC |
Software Development | 1. Chip operating system: FreeRTOS, RT-Thread, etc. |
2. Development environment: IDE, PlatformIO IDE, A rduino IDE, etc. | |
3. Programming language: C, C++, MicroPython |