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CS CAP Seminar: Bakshree Mishra, "Hardware Acceleration of Computer Vision and Deep Learning Algorithms on the Edge using OpenCL"

Event Type
Saugata Ghose
2405 Siebel Center
Nov 29, 2022   4:00 pm  
Originating Calendar
Computer Science Speakers Calendar

We look forward to seeing you in person on Tuesday, November 29, at 4:00pm. Join in person at 2405 Siebel Center for Computer Science, 201 N. Goodwin Ave.



Machine vision using CNN is a key application in an industrial automation environment, enabling real time as well as offline analytics. A lot of processing is required in real time, and in high speed environment variable latency of data transfer makes a cloud solution unreliable. There is a need for application specific hardware acceleration to process CNNs and traditional computer vision algorithms. Cost and time-to-market are critical factors in the fast moving Industrial automation segment which makes RTL based custom hardware accelerators infeasible. This work proposes a low-cost, scalable, compute-at-the-edge solution using FPGA and OpenCL. The paper proposes a methodology that can be used to accelerate traditional as well as machine learning based computer vision algorithms.

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