With a growing requirement for taking decisions on the edge and data privacy concerns, there is a requirement for intelligent devices capable of taking real time decisions. Edge AI devices are expected to run complex neural networks and deep learning algorithms whilst maintaining latency, power efficiency and accuracy. These devices are finding their way into smart security, autonomous driving, robotics and medical imaging.
iWave in partnership with Xilinx, has designed Corazon-AI, the Edge AI Solution built using Zynq® UltraScale+™ MPSoC devices to overcome these challenges 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 deep 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 connectivity, the Zynq MPSoC provides an intelligent heart for the SBC. Plus, with support from the Xilinx Vitis™ AI Stack, Corazon-AI can be used as perfect fit for various machine learning and computer-vision based applications such as number plate recognition, traffic management systems and automatic video inspection.
More detailed information on Corazon-AI can be found here.
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