Abstract: The burial image features of a large amount of black coal rock thrown out during rock burst and coal and gas outburst are analyzed. The features include changes in the area of the monitoring area's color and corresponding graphics, changes in the number of colors and corresponding graphics, changes in the shape of colors and corresponding graphics, and anomalies in burial positions. When a disaster occurs, it will result in a reduction in the area of non-black areas within the monitoring area, with a significant reduction in speed and acceleration. Based on the above feature, a perception alarm method for rock burst and coal and gas outburst is proposed based on the features of color and its corresponding graphic area changes. When a disaster occurs, it will result in a reduction in the number of non-black areas within the monitoring area, with a significant reduction in speed and acceleration. Based on the above feature, a perception alarm method for rock burst and coal and gas outburst is proposed based on the features of colour and its correspoding graphic number changes. When a disaster occurs, it will cause a decrease in the circularity, rectangularity, and area-to-perimeter ratio of non-black graphics within the monitoring area, with a significant reduction in speed and acceleration. Based on the above feature, a perception alarm method for rock burst and coal and gas outburst is proposed based on the features of color and its corresponding graphic shape changes. When a disaster occurs, it can lead to underground coal mine personnel, hydraulic support at the top and near the top being buried by coal and rock. Based on the above feature, a perception alarm method for rock burst and coal and gas outburst is proposed based on the features of abnormal burial position. The above perception alarm method for rock burst and coal and gas outburst based on burial image features has the advantages of fast response speed, non-contact, wide monitoring range, low cost, and convenient use and maintenance.