Summary of ENABLING AI ON THE EDGE WITH IWAVE’S CORAZON-AI
iWave’s Corazon-AI is an FPGA-based Edge AI inference engine on a Pico-ITX (100 × 72 mm) board built around the Xilinx Zynq UltraScale+ MPSoC. It enables low-latency, power-efficient on-edge AI by combining heterogeneous Arm processor cores with FPGA fabric, supports multiple camera inputs (8 IP, USB, SDI), and offers rich connectivity (Dual Gigabit Ethernet, 802.11ac Wi-Fi, BT 5.0, M.2 for 3G/4G/5G and NVMe/MSATA, Dual CAN, USB 3.0). The rugged design targets smart surveillance, autonomous systems, robotics, and medical imaging.
Parts used in the Corazon-AI EdgeAI Solution:
- Xilinx Zynq UltraScale+ MPSoC
- Pico-ITX form factor board (100mm x 72mm)
- FPGA fabric (integrated in MPSoC)
- Arm processor cores (integrated in MPSoC)
- Interfaces for 8 IP cameras
- USB camera interfaces
- SDI camera interface
- Dual Gigabit Ethernet ports
- 802.11ac Wi-Fi module
- Bluetooth 5.0 module
- M.2 expansion slot for 3G/4G/5G module
- M.2 expansion slot for MSATA / NVMe SSD (extended storage)
- Dual CAN interfaces
- USB 3.0 port(s)
Edge devices have found their way into smart surveillance, autonomous driving, robotics, and medical imaging. With a growing requirement for making decisions on the edge and data privacy concerns, there is a requirement for intelligent devices capable of making real-time decisions.
The Edge AI devices are expected to run complex neural networks and deep learning algorithms while maintaining low latency, power efficiency, and accuracy.
iWave’s Corazon-AI built on Xilinx Zynq® UltraScale+™ MPSoC is designed to overcome these challenges. The rugged and innovative FPGA-based AI Inference engine with a Pico -ITX form factor (100mm x 72mm) is coupled with multiple connectivity options while supporting multiple cameras.
The EdgeAI solution provides interfaces to connect 8 IP cameras, multiple USB cameras, and SDI Camera. These options provide the ability to capture multi-angle high-resolution video frames that are proactively processed by the in-built AI Inference engine. The solution also supports a wide range of high-speed connectivity options such as Dual Gigabit Ethernet, 802.11 ac Wi-Fi, BT 5.0, 3G/4G/5G support via an M.2 expansion slot, Dual CAN and USB3.0. There is also a provision for extended storage for an MSATA / NVMe SSD via an M.2 expansion slot. The suite of connectivity help customers towards various use cases based on the on-premise architecture and requirement.
The EdgeAI Solution is built around a highly adaptive MPSoC that features a heterogeneous Arm® + FPGA architecture providing customers the advantage of using the processor cores as a regular SoC for high-level management functionalities such as system boot, peripherals management,
Read more: ENABLING AI ON THE EDGE WITH IWAVE’S CORAZON-AI
- What processor architecture does Corazon-AI use?
It is built around the Xilinx Zynq UltraScale+ MPSoC with a heterogeneous Arm plus FPGA architecture. - How many IP cameras can the solution connect to?
The solution provides interfaces to connect 8 IP cameras. - Does Corazon-AI support USB and SDI cameras?
Yes, it supports multiple USB cameras and SDI camera input. - What expansion options are available for cellular and storage?
There is an M.2 expansion slot for 3G/4G/5G modules and another M.2 slot for MSATA or NVMe SSD for extended storage. - What connectivity options are provided for networking?
It offers Dual Gigabit Ethernet, 802.11ac Wi-Fi, Bluetooth 5.0, and M.2 support for cellular networks. - Is the board designed for low-latency, power-efficient AI inference?
Yes, it is designed to run complex neural networks on the edge with low latency and power efficiency. - What form factor does Corazon-AI use?
It uses a Pico-ITX form factor measuring 100mm x 72mm. - Can Corazon-AI be used in surveillance and autonomous applications?
Yes, it targets smart surveillance, autonomous driving, robotics, and medical imaging use cases.
