And, unlike optical cameras, they detect bodies by measuring the heat that they emit in the form of infrared radiation, and are therefore much more robust - their sensitivity doesn’t depend on lighting conditions, on the position of the target, or the colour. Unlike motion sensors, they will detect the presence of people even when they aren’t moving. Thermal cameras coupled with deep neural networks are a much more robust strategy to actually detect the presence of people. Detecting the presence of people in your room while you’re not at home is another interesting application. The ability to turn off music and/or tv when you exit the room and head to your bedroom, without the hassle of switching all the buttons off, is also an interesting corollary. Most of the solutions out there to solve these kinds of problems, even more high-end solutions like the Philips Hue sensors, detect motion, not actual people presence - which means that the lights will switch off once you lay on your couch like a sloth. ![]() Having your house to turn the lights on or off when you enter or exit your living room is an interesting application, for instance. ![]() ![]() ![]() Triggering events based on the presence of people has been the dream of many geeks and DIY automators for a while. Detecting people with a RaspberryPi, a thermal camera and machine learningĪn updated version of this story is available for free on the Platypush blog.
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