Real-time IoT Data Streaming from Old Smartphone

TL;DR, If you are looking for a simple project to get started with IoT but don’t have the hardwares/sensors this for you. Stream android smartphone’s sensor data using Kafka and store/visualize the sensor data using ELK stack in dockerized containers

TL;DR, If you are looking for a simple project to get started with IoT but don’t have the hardwares/sensors this for you. Stream android smartphone’s sensor data using Kafka  and store/visualize the sensor data using ELK stack  in dockerized containers

The idea behind this project is to monitor the battery temperature of the smartphone. I use one of my old android smartphones as an IP web camera and it tends to overheat so I wanted to monitor the temperature.

The major components are

• IoT device — Smartphone sensors
• Stream pipeline — Apache Kafka
• Aggregate/process, Store & Visualise — ELK Stack

The stream pipeline and ELK stack are dockerized and run using docker-compose

Requirements:

• Docker Engine version 19.03 or newer
• Docker Compose version 1.25.5 or newer
• 3 GB of RAM allocated to docker-engine
• Smartphone with Android OS 2.3.3 and above

Sending Data from IoT device:

To collect and send the sensor data from the smartphone install

Sensorstream IMU+GPS app from playstore. Open the app after installing.

elk iot realtime kafka python

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