Here, our team conducted research and experiments on wildfires. As a country, it was considered appropriate to conduct experiments in the dense forests of the West African countries of Liberia and Gabon. This experiment used nitro-lasers, light detectors and areas similar to "chess" cells. Unlike conventional(ordinary) lasers, these lasers cannot pass through smoke when in contact with smoke, and as a result, the light detector (laser-detector) cannot receive the laser beam and in this case sends the coordinates of the obstacle to the nearest network station.Afterward, these coordinates send to drone's dataBase and automaticlly fly there. It should be noted that these lasers can transmit the beam to a maximum distance. 8 km. and each area can be 64 sq km. and a 360-degree camera is installed at the highest point of the area. The purpose of this camera is not to detect smoke with artificial intelligence. Because in order to create high security, we need to protect it (our security equipment) with security equipment. In this case, we can talk about a high level of security. As we know, many solutions have been proposed for wildfires. These include heat detectors, smoke detectors with artificial intelligence, etc. Each of heat detectors can measure the temperature within a radius of 20-30 m, according to the average temperature. Smoke detection with artificial intelligence does not always give the correct result, and in addition, there is a problem with determining the coordinates. It can also be confused with foggy weather or birds. These experiments are also not so small in financial costs. hashtag#wildfires hashtag#ForestFireSolutions hashtag#ProtectOurForest hashtag#wildfiresexperiments hashtag#security hashtag#highlevelsecurity hashtag#safenature hashtag#protectnature hashtag#protectanimals hashtag#protectforest hashtag#defendforest