Last week, researchers from NLS joined a team from the NEC Corporation to present a DoC for the Ministry of Transport and Communications in Peru.
It was a great opportunity for us to present our solutions at an international forum, and show how we can help governments utilize AI technology for the purpose of developing smarter cities.
Let’s take a look at the solution NLS showcased!
A Solution To Reduce Traffic Congestion: NeoCenter For Traffic Management
The demo platform that NLS presented was the NeoCenter For Traffic Management, which integrates multiple cutting-edge AI technologies into a single platform for improved functionality and ease-of-use. (This solution is still in development and not available commercially.)
From the main situational view, operators in a command center can easily understand citywide traffic conditions with a single glance. CCTVs placed around the city relay video footage to the NeoCenter, which processes the information through multiple AI solutions. Traffic anomalies detected are flagged out and displayed as alerts in the NeoCenter, which officers may view and respond to.
For instances where operators are alerted to potential incidents in areas without CCTV cameras, officers on the ground equipped with body-worn cameras can be deployed to the scene through the NeoCenter. With no fuss, operators in the command center can see the point-of-view of officers on the street, and attain a detailed understanding of the situation.
The problem with many command center applications is that they stop right here— at the detection phase. NLS’ NeoCenter for Traffic Management goes a step further to allow operators to assess possible solutions. For example, in the scenario we presented at Peru, a visualization of a possible solution to smoothen traffic flow can be viewed within the NeoCenter. Through the traffic light synchronization simulation, operators can get a detailed understanding of how effective a solution may be, including information on the increase in traffic flow, average vehicle velocity change, reduction/increase in carbon dioxide emissions, and economic gain/loss.
The NeoCenter for Traffic Management is also an effective tool for detecting traffic offenses, and makes it easier for law enforcement to identify those committing offenses.
The system is especially good at detecting traffic offenses that cause traffic congestion, such as driving in the opposite direction, speeding, jaywalking, and illegal parking.
The build of NeoCenter we demonstrated at Peru also includes the function to detect Vehicles-Of-Interest (VOIs). After registering the license plate numbers belonging to VOIs, all CCTVs running License Plate Recognition on the network connected to the NeoCenter keep an active lookout for the license plate number on the watchlist. Once detected, an alert is raised, facilitating a rapid response for officers.
Results of the DoC
We felt that the DoC went smoothly and was well-received. Information on the event was publicized, which you may read here if you understand Spanish!
Overall, it is heartening to know that Neocenter’s deployment and commercialization is on the horizon. We hope to continue honing this solution to perfection, and see it used in the real world someday soon!
Stay tuned for more news on our solutions in the coming weeks!