Edge Intelligence can now be unleashed with the Corazon-AI Solution through the integrated DPU providing increased through-put and reduced latency

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Edge Intelligence can now be unleashed with the Corazon-AI Solution through the integrated DPU providing increased through-put and reduced latency
The ISO 15765 stack developed by IWave, based on ANSI C source code inherently supports all the specifications of ISO 15765 protocol
iWave Systems launches Corazon-AI, an EdgeAI Platform for Smart City and Camera Intelligence Applications, Powered by Xilinx Zynq UltraScale MPSoC Devices
June 14th,2020
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 computing Smart City solutions. 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 monitoring social distancing and assisting with other health, safety, and security 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.
About iWave Systems: iWave Systems Technologies Pvt. Ltd., an ISO 9001:2008 certified company, established in the year 1999, focuses on product engineering services involving embedded hardware and software, FPGA. With over 18 years’ experience on FPGA, provides custom design services and a wide array of XILINX System on Modules – ZYNQ 7000 Series and Ultra Scale+ MPSoC series.
To get in touch with us for enquiries and further information, please write to
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
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The facial recognition demo is running on iWave’s development board based on the NXP® i.MX8M Mini applications processor. The power-efficient edge computing platform with a SODIMM form factor is coupled with a MIPI Camera module (1080p@30 fps) , MIPI Display (1920 x1080 60fps)
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