Successful Case

SUCCESSFUL CASE

Introduction

The North District City Hall Police Department is located in northwestern Taiwan, covering an area of about 104,1526 square kilometers, with a population of 44 thousand. The department has jurisdiction over well-known science and industrial parks, air force airports, famous fishing ports, and five universities. The area has developed industry and commerce and is an important transportation hub on the island, located in important transportation convergent areas. High-speed railways, main railway lines, longitudinal highways, two highways, north-south express roads, and east-west express roads run through the entire territory, whereas urban roads extend in all directions. The organization has 1111 staff members, including 996 police officers. It comprises 18 departments, offices, centers, 5 field teams, 3 sub-bureaus, 15 police stations, and 304 police districts.

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Cooperation plan

To meet security and traffic needs, we are strengthening early warning systems and auxiliary crime evidence collection at key security points, important road sections (entrances), and crowded places. We have also implemented 24-hour continuous video surveillance of suspicious people, moving vehicles, license plates, or specific events.

After providing the EZ Pro video management platform to NCPD for traffic management, we developed a custom CMS video management platform. This platform had a management system that better meets the police department's needs. In addition to effectively managing surveillance camera images, the system allows for customizable access to officer logs and the actual location of cameras in the Geographic Information System (GIS). Officers can also view current traffic conditions and track target vehicles

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Results

  • Reduce Manpower by 40%
  • Reduce time to patrol and search video archives for evidence by 60%
  • Reduce hardware construction costs by 30%
  • Through image integration, fisheye de-warping, equipment management, traffic flow analytics, license plate recognition integrated with dynamic images and big data, and other functions, users can monitor city safety in real time.
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