Intruder Detection System based on Arduino Solution
This describes how to identify when intruders are trying to force an entrance door by analyzing surroundings sounds using a Nicla Voice, Machine Learning Tools, and the Arduino IoT Cloud. Security has always been a very important factor for our well-being. From the personal to the material, keeping our assets safe is something we struggle with every day, in our cars, lockers, computers, and our houses, we insure everything is locked up, but there are times when that is not enough. In such a connected world, where we have a lot of information in the palm of our hand, it would also be very useful to have the status of those things that we have insured in a more analogous way, such as the front door of our home. Leveraging the integrated microphone of the Nicla Voice provides the possibility to build this kind of protection system.
CATEGORY
Hardware,Software,Artificial Intelligence,Embedded,Cloud,Sensors,Machine learning,Security,Internet of Things
PARTS IN DESIGN / BOM BY STORE
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| MFGR | PART# | BLK NM |
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