VeriSilicon’s AI-ISP Custom Chip Solution Enables Mass Production of Customer’s Smartphones>

(BUSINESS WIRE)--VeriSilicon (688521.SH) recently announced that its AI-ISP custom chip solution has been successfully adopted in a customer’s mass-produced smartphones, reaffirming the company’s comprehensive one-stop custom silicon service capabilities in AI vision processing. VeriSilicon’s AI-ISP custom chip solution can integrate proprietary or third-party Neural Network Processing Unit (NPU) IP and Image Signal Processing (ISP) IP. By combining traditional image processing techniques with AI algorithms, it significantly enhances image and video clarity, dynamic range, and environmental adaptability. The chip solution offers flexible configurations with RISC-V or Arm-based processors, supports MIPI image input/output interfaces, provides LPDDR5/4X memory integration capability, and is compatible with common peripheral interfaces such as UART, I2C, and SDIO. This makes the solution highly adaptable for deployment across various applications including smartphones, surveillance systems, and automotive electronics. For this collaboration, VeriSilicon designed a low-power AI-ISP system-on-chip (SoC) based on the RISC-V architecture, tailored to the ...(BUSINESS WIRE)--VeriSilicon (688521.SH) recently announced that its AI-ISP custom chip solution has been successfully adopted in a customer’s mass-produced smartphones, reaffirming the company’s comprehensive one-stop custom silicon service capabilities in AI vision processing. VeriSilicon’s AI-ISP custom chip solution can integrate proprietary or third-party Neural Network Processing Unit (NPU) IP and Image Signal Processing (ISP) IP. By combining traditional image processing techniques with AI algorithms, it significantly enhances image and video clarity, dynamic range, and environmental adaptability. The chip solution offers flexible configurations with RISC-V or Arm-based processors, supports MIPI image input/output interfaces, provides LPDDR5/4X memory integration capability, and is compatible with common peripheral interfaces such as UART, I2C, and SDIO. This makes the solution highly adaptable for deployment across various applications including smartphones, surveillance systems, and automotive electronics. For this collaboration, VeriSilicon designed a low-power AI-ISP system-on-chip (SoC) based on the RISC-V architecture, tailored to the ...{}