iWave Systems launches Corazon-AI, an EdgeAI Platform for Smart City and Camera Intelligence Applications, Powered by Xilinx Zynq UltraScale MPSoC Devices
16/06/2020, hardwarebee
Get a Price Quote
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 connectivitythe 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.
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 [email protected] .
This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.
Strictly Necessary Cookies
Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.
If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.
3rd Party Cookies
This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.
Keeping this cookie enabled helps us to improve our website.
Please enable Strictly Necessary Cookies first so that we can save your preferences!
Additional Cookies
This website uses the following additional cookies:
(List the cookies that you are using on the website here.)
Please enable Strictly Necessary Cookies first so that we can save your preferences!