Bust the Burglars – Machine Learning with TensorFlow and Apache Kafka

The text discusses how to build a burglar alarm system using network-connected cameras, Apache Kafka®, Kafka Streams, and TensorFlow. It provides guidance on selecting the right camera, setting up the cameras for surveillance, and processing the images from the cameras. The author also explains how to create an automated burglar alarm by building a TensorFlow model in the Kafka Streams pipeline to detect burglars. Additionally, it covers configuring a sink connector that will send burglar alert messages and using a smart lock system for filtering out unwanted alerts. The complete source code of the demo application can be found on GitHub.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.