- iWave in collaboration with Xilinx has developed an intelligent EdgeAI platform, allowing real-time decision making
- Optimal for various machine learning and computer-vision based applications
Therefore, iWave in partnership with Xilinx has designed Corazon-AI, an Edge AI solution built using Zynq UltraScale+ MPSoC devices to overcome this challenge and enable intelligence at the edge. The innovative FPGA-based AI Inference engine with a pico-ITX form factor (100mm x 72mm) is coupled with multiple connectivity options with support to connect multiple cameras.
Corazon-AI also incorporates a configurable deep-learning processor unit in the programmable logic of the Zynq MPSoC chip. The DPU is an AI inference engine dedicated to the Convolution neural network and provides for a scalable multi-dimensional parallel architecture capable of performing major convolutional calculations, batch normalisation through deeply pipelined computing engines. They consist of specialised encoders and decoders which squeeze network model size and have a unique instruction scheduler that dynamically adjusts FIFO.
“Corazon-AI provides software developers and system integrators an ideal platform to develop AI applications on the edge. With the Zynq UltraScale+ MPSoC series providing the feature to connect 8 IP Cameras and the Xilinx Vitis AI stack integrated, Corazon-AI provides for an ideal fit in the need for EdgeAI Gateways helping build intelligence on the edge” said Sheik Abdullah, Associate Director at iWave Systems Technologies Pvt. Ltd.
“Cities need to get smarter, from optimizing traffic conditions on roadways to assisting with health and safety measures,” said Chetan Khona, Director of Industrial, Vision, Healthcare & Sciences markets at Xilinx. “This collaboration means that iWave’s Corazon-AI solution benefits from the power of adaptive computing, providing an intelligent edge AI solution that’s built for Smart Cities.”
Through the support of key features such as cameras, video recording and connectivitythe Zynq MPSoC provides intelligence for the SBC. Additionally, with support from the Xilinx Vitis