Police alarm address recognition and classification based on convolutional neural networks Online publication date: Tue, 03-May-2022
by Mingyue Qiu; Zhijie Bi
International Journal of Security and Networks (IJSN), Vol. 17, No. 1, 2022
Abstract: The assignment of addresses of police alarms is the most significant aspect when receiving such alarms. However, currently, most areas still adopt modes such as the layer-by-layer forwarding of police alarm addresses, dispatching alarms level by level, manual judgement of addresses, and manual allocation of the alarms. Under such modes, the identification of alarm addresses is likely to be inefficient and inaccurate, and there will also be issues such as long dispatch times. As the reception of police alarms continues to rise, this paper builds an intelligent police alarm address recognition and classification model based on natural language processing and convolutional neural networks. This will achieve the rapid identification and classification of alarm addresses, thereby meeting the goal of improving the efficiency of the reception of police alarms. At present, the system has been deployed and used, which has greatly improved the efficiency of police work.
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