With the rise of connected devices and advanced sensors, data has become one of the most valuable resources for security management in urban areas. Various devices ranging from cameras to parking sensors offer the authorities access to more information than ever before. However, huge amount of data alone cannot help raise the level of public safety in our cities. This is where the predictive analytics comes in, as this technology can recognize various patterns from previously recorded data. Read on to find out more about advantages of predictive analytics in the field of urban security and learn of the place at which you can learn more about everything relevant to the security, the Internet of Things and many other emerging technologies!
- Predictive analytics supports the optimal utilization of limited resources. Several cities already use predictive analytics to speed up the process of collecting and analyzing large amounts of data which are used to support decision-making process in deploying first response teams such as medical workers and the police. Based on recognized data patterns, the authorities can, for example, make better informed decisions in the traffic management at locations where some issues have repeatedly occurred in the past (such as bottlenecks and traffic jam). This is particularly important the during the peak hours such as weekend nights and the identified patterns can allow for more efficient deployment of personnel, shorter response times and better results with fewer staff.
- More efficient urban crime detection. Real-time face recognition, noise source tracking, video surveillance and license plate recognition (LPR) systems can now operate under a single umbrella and are supported by the predictive analytics. Based on these analytical features, the law enforcement agencies, for example, can identify crime emergence patterns that can be used for faster detection of criminal offenses in urban areas.
- Better understanding of crime hotspots. With predictive analytics,not everything has to happen as a reaction to a particular event. Actually, this type of analytics can be used to identify locations where serious crimes repeatedly occur with more efficiency and accuracy. Since data can be collected from a wide range of sources (surveillance, LPR, sound sensors) these information can help the city authorities identify patterns and establish emerging crime hotspots more easily.
Do you work with predictive analytics? Are you in charge of urban safety or you work with the professionals working in this field? Are you simply interested in the game-changing technologies in the field of security? If yes, Security Summit 2020 is the virtual event at which this and many other topics will be elaborated by the eminent professionals from the major security companies and trade associations. As a bonus, if you register today, you will get an opportunity to get in touch with the businesses that dominate security, IoT and other markets and open doors to new partnerships and the exchange of experiences and know-how! Save the date for November 2020 and see you at the Summit!