Recent advancements in deep learning and computer vision technology allow us to build multiple assistive technology solutions for people with visual disabilities. Isaac Ritharson, in his blog, proposed an Assistive Technology System for visually impaired individuals using various hardware components and software tools to help people who are blind navigate safely on roads. This project is developed using TensorFlow* Optimizations from Intel.
Read more about the project on Medium and GitHub.
Learn more about TensorFlow Optimizations from Intel!
TensorFlow Optimizations from Intel:
Intel collaborates with Google* to upstream most optimizations into the stock distribution of TensorFlow, with the newest optimizations and features being released earlier as Intel® Extension for TensorFlow*. These optimizations can be enabled with a few lines of code and will accelerate TensorFlow-based training and inference performance on Intel CPU and GPU hardware.
What's Next?
We encourage you to check out and incorporate Intel's other AI/ML Framework optimizations and end-to-end portfolio of tools into your AI workflow and learn about the unified, open, standards-based oneAPI programming model that forms the foundation of Intel's AI Software Portfolio to help you prepare, build, deploy, and scale your AI solutions.
For more details about 4th Gen Intel® Xeon® Scalable processors, visit Intel's AI Solution Platform portal to learn how Intel empowers developers to run end-to-end AI pipelines on these powerful CPUs.
About the Author:
Isaac Ritharson is currently pursuing his bachelor's in Artificial Intelligence at Karunya Institute of Technology and Sciences. He is passionate about applying Deep Learning for global sustainability, child welfare, and safety.
