Personnel Intrusion Detection in the Complex Environment of Mine

When the existing intelligent video monitoring technology is applied to the detection personnel in the mine danger area, the false alarm signal will be generated when the mining lamp irradiates the danger area, there by reducing the detection accuracy. In order to solve this problem, this paper uses the fuzzy theory combined with the shape characteristics of the miner's lamp irradiation area to eliminate the light interference problem. The experimental results show that the proposed algorithm can effectively solve the problem of miner's lamp interference and detect the personnel intrusion behavior in the actual environment of coal mine and produce alarm signal in time.