October 10, 2024
Grinn's System on Module (SoM) solutions offer a streamlined approach to embedded system development. By combining microprocessors, memory, and essential peripherals, our SoMs reduce both development time and costs, ensuring a faster time-to-market and enhanced project efficiency.
DanioSOM
Equipped with a quad-core Cortex A73 processor, PowerVR Series9XE GE9920 GPU, and a neural network accelerator, DanioSOM delivers exceptional computing power. With 4GB LPDDR4 memory and 16GB eMMC storage, it supports advanced video inputs and outputs, making it perfect for smart cameras, industrial automation, and IoT devices. Enjoy seamless connectivity with USB 3.0, PCIe, and Gigabit Ethernet, all packed into a compact, easy-to-integrate module.
End-to-end solution based on the high-performance multimedia SoC Synaptics SL1680 which combines a quad-core Arm® Cortex®-A73 processor with a neural processing unit (NPU). Engineered for robust edge AI processing in smart display IoT applications. Seamless integration of video, smart speaker, and local touch display. The SoC benefits from integration with the SyNAP toolkit, enabling swift development and refinement of secure machine learning (ML) and AI applications tailored for video, vision, and audio domains.
Additionally, integrated MIPI CSI-2 and ISP functionality furnish camera inputs for edge-based vision inference, minimizing the need for external components.
The DanioSOM can be used in applications like: Multi-Camera Object Detection, Natural Language Processing, Medical Imaging and Analysis, Autonomous Mobile Robots (AMRs)
