Fall warning machine with image processing via the Internet of things

Chanthun Sok, Chaphawit Saechan, Chatmongkol Sittipong, Udomsak Kaewmorakot, Lapus Poolperm · 2021

The fall detection system in the elderly is an imperative system in trend of increasing the number of the elderly population, but many of the systems that are presented are not available in all areas. Wearing a device with the person being tracked makes routine activities less difficult. This research presents another way to solve this problem by using the principles of image processing. All processing systems will run only on the processing device. And send the report only the result of falling out in order to certify that the image data Will not be published in this regard, the test was conducted to study the effects. The perspective of installing a camera or even the effect of wearing clothing is similar to the color of the background during a fall.

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