veyepar: Bringing Ideas to Life with DIY IoT: Visualizing Noise Pollution with a Raspberry Pi and Python

Author(s):	Ryan Carroll
Location	Ballroom C
Date	jul Sun 27	Days Raw Files
Start	13:15	First Raw Start	12:46
Duration	00:30:00	Offset	0:28:44
End	13:45	Last Raw End	14:16
Chapters	00:00 0:00:22 0:01:41 0:06:27
Total cuts_time	30 min.

https://www.pyohio.org/2025/program/talks/bringing-ideas-to-life-with-diy-iot
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assets release.pdf Bringing_Ideas_to_Life_with_DIY_IoT_Visualizing_Noise_Pollution_with_a_Raspberry_Pi_and_Python.json
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Description:	Discover how to harness the power of IoT to tackle real-world problems using affordable and accessible technology. In this talk, you'll learn how to build an IoT system from off-the-shelf components, collect data from sensors, and visualize the data to tell compelling stories. In this talk I'll showcase a project where I used a Raspberry Pi, environmental sensor, and Python to measure and monitor noise levels. This project demonstrates how to design and implement an IoT solution from concept to deployment, including using InfluxDB and Grafana for real-time data visualization, all running in Docker. By the end of this talk, you'll have the skills to bring various pieces of technology together to solve real-world problems. Whether you're an enthusiast, developer, or researcher, this session will inspire you to apply open-source tools and inexpensive hardware in innovative ways to address the challenges in your every day life. markdown
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