Due to the advancement of technology and medicine, people begin to pay more attention to the quality improvement of health care. Many researches show that the fall accident occupies 60% of all accidents in a home. The fall accident may cause the condition of an elder deteriorated or producing complications. As a result, it increases the burden of a family and seriously wastes medical resources from the society. Thus, preventing the fall accident and detect it immediately is one of the important topics regarding the quality improvement of health care. A unique feature of the proposed system is that we use a Infrared Camera to capture images simultaneously and eliminate any blind spot. We can adjust the detection sensitivity on a case-by-case basis to reduce unnecessary alarms, and put more attention on the elderly with special diseases or conditions. The experimental results show that using a simple fall detection algorithm and combining it with simple personal information can raise fall detection accuracy and reliability effectively in a particular environment.