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Luckfox Pico RV1103 Micro Linux AI Development Board UART SPI I2C USB-C Integrates ARM Cortex-A7/RISC-V MCU/NPU/ISP Processors with Pin Solder

Disponibilidad:
En stock
Peso con empaque:
0.33 kg
Devolución:
Condición
Nuevo
Producto de:
Amazon

Sobre este producto
  • Unlock the power of AI development with Luckfox Pico RV1103 Micro Linux Board featuring ARM Cortex-A7/RISC-V MCU/NPU processors for efficient coding and fast start-up
  • Enjoy high-definition image processing with the integrated ISP processor, supporting HDR, WDR, and noise reduction for crystal-clear visuals on the go
  • Maximize storage space with intelligent encoding modes and adaptive stream saving, saving over 50% bit rate compared to traditional methods for smaller yet clearer images
  • Experience seamless connectivity with UART, SPI, I2C, and USB-C interfaces on this versatile development board, allowing for quick and easy debugging
  • Elevate your projects with the NPU, providing high computing precision and up to 1.0 TOPS with int4 for enhanced AI capabilities
AR$53,244
55% OFF
AR$24,200

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AR$53,244
55% OFF
AR$24,200

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Conoce más detalles

Processor: Cortex [email protected] + RISC-V Neural Network Processor (NPU): 0.5TOPS, supports int4, int8, int16 Image Processor (ISP): Input 4M @ 30fps (Max) Memory: 64MB DDR2 USB: USB 2.0 Host/Device Camera interface: MIPI CSI 2-lane GPIO: 24 GPIO pins Network port: 10/100M Ethernet controller and embedded PHY Default storage medium: micro storage card holder Solder Pins Single core ARM Cortex-A7 32 bit core with integrated NEON and FPU Built-in Rockchip self- developed 4th generation NPU, features high computing precision and supports int4, int8, and int16 hybrid quantization. The computing power of int8 is 0.5 TOPS, and up to 1.0 TOPS with int4 Built-in self. developed third: generation ISP3.2, supports 4-Megapixel, with multiple image enhancement and correction algorithms such as HDR, WDR, multi-level noise reduction, etc. Features powerful encoding performance, supports intelligent encoding mode and adaptive stream saving according to the scene, saves more than 50% bit rate of the conventional CBR mode so that the images from camera are high-definition with smaller size, double the storage space Built-in RISC-V MCU supports low power consumption and fast stant-up, supports 250ms fast picture capture and loading AI model librany at the same time to realize face recognition ""in one second"" Built-in 16-bit DRAM DDR2, which is capable of sustaining demanding memory bandwidths Integrated with built-in POR, audio codec and MAC PHY Suitable for: Robots & Drones Smart Transportation Devices Smart Home Devices Industrial AutomationDevices Smart Monitoring Devices New Retailing