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Luckfox Pico Mini B Linux AI Development Board RV1103 Micro Board Module Integrate ARM Cortex-A7/RISC-V MCU/NPU/ISP Processors 64MB DDR2 0.5TOPS Support int4 int8 int16 NPU with 128MB Flash

Disponibilidad
En stock
Peso con empaque
0.20 kg
Devolución
No
Condición
Nuevo
Producto de
Amazon

Sobre este producto
  • Single core ARM Cortex-A7 32-bit core, integrated with NEON and FPU
  • Built in Micro's self-developed 4th generation NPU, with high computational accuracy and support for mixed quantization of int4, int8, and int16. Among them, int8 has a computing power of 0.5 TOPS and int4 has a computing power of up to 1.0 TOPS
  • Built in self-developed 3rd generation ISP3.2, supports 4 million pixels, and supports various image enhancement and correction algorithms such as HDR, WDR, and multi-level denoisin
  • It has powerful encoding performance, supports intelligent encoding, adapts to save bit rates according to the scene, and saves more than 50% of the bit rate compared to conventional CBR mode, making the captured images high-definition, smaller in size, and doubling the storage space
  • The design with built-in RISC-V MCU supports low-power fast startup, 250ms fast capture, and simultaneous loading of AI model library, enabling facial recognition to be completed within 1 second
$38,35
49% OFF
$19,67

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$38,35
49% OFF
$19,67

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Luckfox Pico Mini B is a cost-effective mini Linux development board based on the RV1103 chip, designed to provide developers with a simple and efficient development platform; Supports multiple interfaces, including MIPI CSI, GPIO, UART, SPI, 12C, USB, etc., for quick development and debugging 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 17 GPIO pins Default storage medium Type B: SPI NAND FLASH (128MB) Single core ARM Cortex-A7 32-bit core, integrated with NEON and FPU Built in Ruixin Micro's self-developed 4th generation NPU, with high computational accuracy and support for mixed quantization of int4, int8, and int16. Among them, int8 has a computing power of 0.5 TOPS and int4 has a computing power of up to 1.0 TOPS Built in self-developed 3rd generation ISP3.2, supports 4 million pixels, and supports various image enhancement and correction algorithms such as HDR, WDR, and multi-level denoising It has powerful encoding performance, supports intelligent encoding, adapts to save bit rates according to the scene, and saves more than 50% of the bit rate compared to conventional CBR mode, making the captured images high-definition, smaller in size, and doubling the storage space The design with built-in RISC-V MCU supports low-power fast startup, 250ms fast capture, and simultaneous loading of AI model library, enabling facial recognition to be completed within 1 second Built in 16 bit DRAM DR2, capable of maintaining demanding memory bandwidth requirements Integrated with built-in POR, audio codec, and MAC PHY

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