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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
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0.20 kg
No
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Amazon
- 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
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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