Each week, cities are growing by 1.5 million inhabitants. By 2050, more than two thirds of the global population will be city dwellers, up from just one third in 1950. As cities grow, the way we build and manage urban infrastructure has never been more critical to global economic and social development. By adding AI powered video intelligence to urban transport systems, smart cities can deliver sustainable and equitable economic growth.
Police forces around the world must meet unprecedented challenges and increasing citizen expectations while improving efficiency and response times with reduced resources. Faced with these challenges, how are policing organizations to protect citizens, increase public confidence and make people feel safer? In order to craft an effective, coordinated response to emergencies, governments are investing in ubiquitous video camera surveillance. To achieve effective response, security agencies are turning to AI powered video analytics to ensure an effective co-ordinated response.
Crowd analysis shows what is happening to an entire walking population, in real time in a variety of environments. This enables infrastructure operators like rail, airports, shopping centres and football stadiums to take positive actions to increase efficiency and public safety.
Queensland Police Use Vision Semantics Software
The Australian police in the state of Queensland used a system based on the Vision Semantics software, in order to solve a high-profile murder case. Detectives from Queensland completed a review of 21,000 hours of CCTV material they had collected, relating to the murder of a 12-year-old child, and analysed all the priority footage within four days. Review of the CCTV material was considered a necessity by the investigating officers with a view to corroborating information generated by witnesses, but had proved impossible with conventional methods. Acting Detective Inspector C. P. Knight of the Homicide Investigation Unit said: “The need for innovative strategies led us to this new approach, as the task of reviewing the footage using conventional policing methods proved unachievable”. “The SeeQuestor platform based on Vision Semantics software, allowed two detectives to review all of the priority footage within four days with the highest degree of accuracy. Its contribution to this homicide investigation has been invaluable.”
Phoenix Police use VSL Software
Vision Semantics licensed its Re-ID software to SeeQuestor to supply a fully integrated system designed for the Phoenix Police department to radically improve the speed and capacity of handling video footage.
Since 2016, the solution has been used by the US police where surveillance videos collected over 5 months were analysed in 4 days to solve a $32m fraud crime. Detective Chad Brink of the Phoenix Police said: “SeeQuestor had delivered a result that was an unthinkable achievement with technology currently used by law enforcement.” Brink explained: “A case which had gathered footage from more than 30 cameras running 24/7, over five months, would have taken me 15 years to review on my own. A small team would have taken around two years to do an initial viewing of all the footage. By utilising SeeQuestor, I was able to review the footage in just four days. The software and workflow management platform also meant that I could view the same scene from more than one angle simultaneously, enabling me to gather vital evidence.”