Human only Made Life Signs Detection for Disaster Survivor Rescue
Zacharie Mbaïtiga, Tanaka Shosaku · 2021
No one can tell or predict when and where a natural disaster such as an earthquake will occur and the damages it will cause. Or an overflow of a large amount of water beyond its normal limit (water flood) shallowing city as we used to watch on news TV after the passage of a strong typhoon causing heavy rain. This paper proposes a Human only Made Life Signs Detection for Disaster Survivors Rescue when a disaster occur particularly during a water flood. We use the matrix-based pairs of opposing pixels positioned directly around the observed point that belongs to the edge of the life sign target. First one dimension matrix for bitmap memorization values of the RGB components of pixel is used. Next these values of the RGB components of pixel color are copied from bitmap to matrix. The number of bytes in a row is rounded up to the nearest number divisible by four. To validate the proposed new rescue system, we have chosen items that can be found basically in any kitchen specially food and fruits such as, cabbage, orange sweet potato, banana and so on., combined them in any way we want them to look like, take picture then processing the image. The result seems promising but more improvement needs to be done before it integration into the drone.