Optical meteor monitoring networks are composed by several optical meteor monitoring systems placed in different locations, which mainly contain a detector and a data processing modular. The optical meteor monitoring system could locate meteorites, obtain number of meteors, detect and send alerts of fire meteors. Real-time detection of meteors with high efficiency is important both for scientific research and civil affairs. This paper proposes a novel optical meteor monitoring system based on artificial intelligence device. The optical meteor monitoring system includes a hardware part and a software part. The hardware part is composed by a commercial camera and an artificial intelligence device. The software part is running in the artificial intelligence device, which includes the control module, the meteor monitoring module, and the data management module. The camera would capture videos in real time and send observation data to the meteor monitoring module. The meteor monitoring module could process observation data in real time to obtain candidates of meteors and store data of these candidates. At last, the data management module would send all detection data to the data center for further process. This paper uses real observation data to test the performance of the meteor monitoring module and results show that this algorithm can achieve a false positive rate of 0.28% and a recall rate of 100% and the speed of the data processing part is 8 times faster than the Mobilenetv2. This system has been further deployed in Taiyuan University of Technology and the remote observatory of Zhangbi Castle. Results show that the optical meteor monitoring system could achieve a recall rate of 100% and a relatively low false detection rate.