Motion in Motion: Building an End-to-End Motion Detection and Alerting System with Apache Kafka and ksqlDB

We built an end-to-end motion detection and alerting system on top of Apache Kafka, ksqlDB, and MongoDB to demonstrate how easy it is to build IoT solutions by leveraging Confluent Cloud. We used a Raspberry Pi Zero W as the hardware due to its compact size, low cost, and low power consumption. The system uses motion detecting software to detect motion from camera feeds, which are then uploaded to AWS S3 and published to Kafka for processing. We chose Confluent Cloud for its scalability, availability, latency, and agility, and used Docker to containerize the software and services. The system also includes a UI built with React and Next.js for real-time monitoring and past event search, utilizing ksqlDB's push and pull queries. The solution showcases how Kafka and ksqlDB can be used to build scalable and efficient IoT systems, and demonstrates the possibilities of expanding such solutions to other IoT applications.

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