Stream and process multiple videos in near real time using Kafka. The video frames are processed and a machine learning model does inference on them and the results are stored in a mongodb database.
Say we have 100 cameras sending video streams in parallel via different topics vs. what you have done in this project, what's the major difference? Which one is better? How can we make it scalable?
Thanks for writing this amazing article
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A declarative, efficient, and flexible JavaScript library for building user interfaces.
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An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
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