An All-Round Route Planning Model Based on Police Drones

Abstract

With the continuous improvement of people’s living standards, holiday travel and play has become the new entertainment trend. Traditional patrol and prevention mechanisms are becoming less effective in the current street patrol and cannot adapt to the complex security and control needs of the street. Although the traditional police patrol model has played an important role in effectively preventing and deterring crime, it is in urgent need of updating and improvement. Therefore, this paper aims to identify crime hotspots that exist in the city in an all-round, multi-level and three-dimensional manner through data analysis technology and the UAV-mounted camera sampling model combined with pedestrian flow monitoring algorithms to identify potential crime problems and trending issues in a timely manner. These areas are first identified as patrol points and optimized ant colony algorithms are applied to form accurate patrol routes, which are then displayed on a map in a visual manner and feedback information is transmitted to the terminal devices of the civilian police. This will help the relevant departments to reasonably allocate police forces, making police patrols more accurate and patrol routes more optimized, thus effectively improving the overall level of police patrols and their real-world capabilities.