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Detecting People With a Raspberry Pi, a Thermal Camera and Machine Learning

This article will show you how to:- Install a thermal camera, monitor it remotely and capture frames at regular intervals- Train a simple machine learning model to detect the presence of people in the thermal camera frames- Automate the execution of custom tasks depending on whether people are detected or not
Pattern on top of sugar packets

Harnessing DIY IoT to Manage Type 1 Diabetes

While there have been major advancements in medical IoT and wearables, achieving truly realtime data and alerts for monitoring health conditions has its shortfalls. With the goal of better managing Type 1 Diabetes for his child, this developer dad harnessed existing IoT technology plus a supportive, forward-thinking DIY community to build a custom solution that worked wonders for his family's peace of mind.
Image of a atmospheric thermometer over an office scene

Prototyping a Smart Office IoT System with a BME 280 Sensor

Rapid prototyping is a critical aspect of product development—especially in technology where end-to-end solutions may cost hundreds of hours of work by highly skilled experts in multiple fields. For applications in...

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