UPGRADE YOUR BROWSER

We have detected your current browser version is not the latest one. Xilinx.com uses the latest web technologies to bring you the best online experience possible. Please upgrade to a Xilinx.com supported browser:Chrome, Firefox, Internet Explorer 11, Safari. Thank you!

cancel
Showing results for 
Search instead for 
Did you mean: 
Newbie nhatnhi3042
Newbie
259 Views
Registered: ‎10-17-2019

Propose hardware for AI in face recognition

Jump to solution

Hi 

I am new in Xilinx AI development. 

I am looking for a suitable hardware and software to adapt with the system below:

+ Face Recognition, low latency and high accuracy, react time from 0.2 to 0.5 second.  

+ AI support to train model and update human face every day.

+ Support Wifi to connect Cloud and HDMI port to display GUI 

If you have any experience on this, please help me. 

Thank you

0 Kudos
1 Solution

Accepted Solutions
Xilinx Employee
Xilinx Employee
213 Views
Registered: ‎07-11-2019

Re: Propose hardware for AI in face recognition

Jump to solution

Hello @nhatnhi3042 

I would like to point you to a couple different resources that may help in making that tough decision! 

In terms of software, Vivado is the industry leader in both hardware and software development. VITIS, Xilinx's newest Unified Software Platform, takes the many great features of Vivado and optimizes it for AI software development. Vitis is scheduled to release at the end of the month, so I would recommend checking it out at the webpage below! Please subscribe to get notifications on development and release of Vitis.

Subscribe: https://www.xilinx.com/registration/subscribe/vitis-stay-informed.html

Vivado Landing Page: https://www.xilinx.com/products/design-tools/vivado.html

Developer Page: https://developer.xilinx.com/

Vitis Landing Page: https://www.xilinx.com/products/design-tools/vitis/vitis-platform.html

In terms of hardware, Xilinx's Zynq Ultrascale+ MPSoCs family will push your face recognition project to the next level. With integrated quad-core A53 ARM APUs and dual-core R5 RPUs (plus so many more features), the Zynq Ultrascale+ family line can handle even the most compute intensive AI workload. 

Zynq Ultrascale+ Landing Page: https://www.xilinx.com/products/silicon-devices/soc/zynq-ultrascale-mpsoc.html

I hope this helps, and if you would like more information I would be more than happy to help! 

-------------------------------------------------------------------------------------------------
Don’t forget to reply, kudo, and accept as solution.
------------------------------------------------------------------------------------------------- 

View solution in original post

1 Reply
Xilinx Employee
Xilinx Employee
214 Views
Registered: ‎07-11-2019

Re: Propose hardware for AI in face recognition

Jump to solution

Hello @nhatnhi3042 

I would like to point you to a couple different resources that may help in making that tough decision! 

In terms of software, Vivado is the industry leader in both hardware and software development. VITIS, Xilinx's newest Unified Software Platform, takes the many great features of Vivado and optimizes it for AI software development. Vitis is scheduled to release at the end of the month, so I would recommend checking it out at the webpage below! Please subscribe to get notifications on development and release of Vitis.

Subscribe: https://www.xilinx.com/registration/subscribe/vitis-stay-informed.html

Vivado Landing Page: https://www.xilinx.com/products/design-tools/vivado.html

Developer Page: https://developer.xilinx.com/

Vitis Landing Page: https://www.xilinx.com/products/design-tools/vitis/vitis-platform.html

In terms of hardware, Xilinx's Zynq Ultrascale+ MPSoCs family will push your face recognition project to the next level. With integrated quad-core A53 ARM APUs and dual-core R5 RPUs (plus so many more features), the Zynq Ultrascale+ family line can handle even the most compute intensive AI workload. 

Zynq Ultrascale+ Landing Page: https://www.xilinx.com/products/silicon-devices/soc/zynq-ultrascale-mpsoc.html

I hope this helps, and if you would like more information I would be more than happy to help! 

-------------------------------------------------------------------------------------------------
Don’t forget to reply, kudo, and accept as solution.
------------------------------------------------------------------------------------------------- 

View solution in original post