The aim of the study is to adjust the temperature of the crowded environments with the body heat of the people. First, the temperature values of the environment will be read with the help of the thermal camera. The obtained data will be put into the image format and people in the environment will be detected with the help of image processing. After fixation, air conditioning temperature should be adjusted by taking the average of collected data from neck and armpit areas of people. People with body temperature below or above certain values will be detected. Critical illnesses will be prevented by identifying these persons as patients and reporting them to the nearest health institution with the help of sms.