YantraVision Blog | Deep learning Implementation on FPGA

Designing a High-speed Machine Vision System

by Adikshith Ojha | Aug 27, 2021 | Deep Learning, FPGA Capability

INTRODUCTION High-speed machine vision systems find applications in many different industries. These hard real-time applications have demanding cycle-time and high-resolution image processing requirements. The cameras, which have a resolution of up to 8k pixels,...

Pynq – BNN for Fabric Texture Analysis on the EDGE – Part 3

by Pria Darshan | Jan 31, 2020 | Deep Learning, FPGA Capability

Recap of the Business Case We develop High Speed Embedded Vision modules for use cases in the Textile Industries. These high-speed modules are built using our proprietary Image Signal Processors (ISP) that run on Zynq platform. One of the challenges that we face is to...

Pynq – BNN for Fabric Texture Analysis on the EDGE – Part 2

by Shruthi Bhashini | Jan 9, 2020 | Deep Learning, FPGA Capability

Designing a High-speed Machine Vision System

Pynq – BNN for Fabric Texture Analysis on the EDGE – Part 3

Pynq – BNN for Fabric Texture Analysis on the EDGE – Part 2

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