December 3, 2018
The major challenge of safe cities today is to establish a collaborative effort between security officials, law enforcement and concerned citizens to create a centralized safe city that is able to prevent, respond and quickly recover from various crises and events.
With the increase of closed-circuit televisions (CCTVs) and webcams around cities, technologies such as artificial intelligence (AI) and data analytics can significantly improve the capabilities of LEA (law enforcement agencies) to fight urban crime and terror. However, the race to grasp safe city technologies also creates vulnerabilities if investments in digital technologies are not followed in accordance with investments in cybersecurity.
Safe City Technology Integration
Governments have taken the lead to harness data and new technologies, to develop innovative solutions to solve some of the safe city challenges.
The official entities understand that city management must be data-driven, and by using the innovations that monitor and analyze real-time data, combined with the ubiquity of mobile devices, citizens can now increase their individual safety and play a key role in contributing to community safety and crime detection.
Apps and websites can provide a real-time understanding of a situation, which in turn enables a better, faster response and resolution. When that online data is quickly mined and integrated into existing response and response platforms, incidents can be resolved quicker.
Finally, unique tools that analyze criminals’ networks activity, showing connection types, their relevance to targets, and the nature of their relationship are also critical insights that help agencies locate targets.
Safe City Technology & Open Source Intelligence
Open Source Intelligence (OSINT) technology enables safe cities to increase efficiency and improve the detection, prevention and response to crime. Law enforcement agencies can integrate smart city technology together with an intelligence analysis platform for pre-event planning, post-event analysis, pattern recognition and planned response for future criminal. Law enforcement must use these types of platforms and technology together in order to reveal criminal patterns and potential threats to deploy resources to crime scenes and threats.
AI-powered analytical engines that searches, analyzes and monitors large volumes of web data streams will enable you to gain situational awareness with real-time intelligent insights to control crime, creating safer cities.