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From Factory Motor Runtime to AI Analysis with MQTT and Raspberry Pi Pico
This time we'll keep that pipeline and change two things. Instead of temperature, we'll monitor whether our factory motor is running or stopped. Then we'll get an AI to evaluate the motor's operating pattern.
From Factory Floor to Linux: Building an MQTT Sensor Data Pipeline with Raspberry Pi Pico
A factory motor produces a temperature reading. A Raspberry Pi Pico W reads that sensor, adds a timestamp and passes the observation across the network.
From Dirty Application Logs to AI Analysis with Python on Raspberry Pi
We'll start with another dirty application-log dataset, clean it with Pandas, and then send the cleaned records to an AI model for an evaluation of what is happening in the application.
Cleaning Dirty Application Log Data with Python and Pandas on Raspberry Pi
For this example, instead of starting with CSV, we'll start with application-log data stored as JSON.
