In view of the low real-time performance of the existing video surveillance technology for the monitoring of key facilities and the poor effect of monitoring during the night

a key facility monitoring technology based on depth sensor is proposed

and its feasibility is verified by SVM algorithm. Taking characteristics of the difference in skeleton length of different human bodies

the depth sensor is used as data collection terminal

and the eight skeleton lengths of the human body are instantaneously collected as the eigenvalues

and the values are used as the human skeleton information

the depth sensor takes the infrared structure light detection as core

so data can also be collected lossless at night. The best human recognition algorithm can be obtained based on design of SVM classifier. Experimental results show that the recognition success rate of the proposed model and algorithm can reach above 80 %

and has good recognition effect. Therefore

the monitoring technology based on depth sensor can provide a new idea for monitoring of key facilities.