Deep Learning Acceleration for Edge-Computing: Facemask Detection on FPGA along with Raspberry Pi4

Getting image-stream from camera, feeding the image-stream to inference-engine in the FPGA through USB, getting detection results, and labeling/boxing on the image.
For more information, contact at contact(at)future-ds.com.

Deep Learning Acceleration for Edge-Computing: Facemask Detection on Standalone FPGA

Getting image-stream from USB-camera, feeding the image-stream to inference-engine in the FPGA, getting detection results, and labeling/boxing on the image.
For more information, contact at contact(at)future-ds.com.

Running YOLO V2 on FPGA through PCI-Express

For more information, visit "Deep-Learning/Machine-Learning cases" of here.

Running YOLO V2 on FPGA using CON-FMCTM that is FPGA Mezzanine Card

For more information, visit "Deep-Learning/Machine-Learning cases" of here.

Running MobileNet V2 on FPGA using CON-FMCTM that is FPGA Mezzanine Card

For more information, visit "Deep-Learning/Machine-Learning cases" of here.

Capability

Future Design Systems is here to help you to develop value added products based on FPGA, PCI-Express, USB, Ethernet and other interfaces. Future Design Systems has solutions ready for your products in Big-Data, Machine-Learning, Deep-Learning, and more.

FDS technologies

FPGA design

Future Design Systems has FPGA experts experienced in PCI-Express, USB, Ethernet, PCB design, RTL design and so on.

HW acceleration

GPGPU-based solution is most popular option in big-data and machine-learning/deep-learning applications, FPGA-based solution is also considered as a promising approach due to its low power consumption and flexibility comparing to GPGPU and ASIC, respectively.

HW accel