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Gatekeeper Systems Inc V.GSI

Alternate Symbol(s):  GKPRF

Gatekeeper Systems Inc. is a Canada-based provider of intelligent video and data solutions designed to provide a safer transportation environment for children, passengers, and public safety personnel on multiple transportation modes. It uses artificial intelligence, video analytics, and mobile data collectors to inter-connect public transportation assets within a smart city ecosystem. Its platform-as-a-service business model is centered around wirelessly enabled mobile data collectors which forms the foundation of its data company evolution. It engineers, manufactures and distributes high-definition mobile video and data solutions for a range of markets including school districts, law enforcement, public transit authorities, as well as the United States military. Its video management and video analytics software may be used in mobile or desktop applications for managing video evidence of incidents. Its solutions include Purchek, Business Intelligence, CartControl and CartManager Ultra.


TSXV:GSI - Post by User

Post by ranmanon Mar 22, 2024 8:48am
174 Views
Post# 35946675

Toronto will use AI software to reduce congestion

Toronto will use AI software to reduce congestionToronto city council has approved an updated traffic congestion management plan, which includes calls for hiking certain traffic fines and a pilot project for using new AI technology. Nick Westoll reports.

https://toronto.citynews.ca/2024/03/21/toronto-traffic-congestion-management-plan/?

As part of that direction, officials with Rogers Communications—the parent company of CityNews—said the company, in partnership with NoTraffic, is installing a 5G-driven artificial intelligence system at five intersections. The cameras will be on University Avenue and York Street at Adelaide Street West, King Street West, Wellington Street West, Front Street West, and Bremner Boulevard.

The system will capture real-time data about traffic volumes, speeds and congestion levels at the intersections.

The pilot project will begin with a months-long phase focusing on data collection. The City of Toronto will then use the AI software to determine what improvements could be made to help ease congestion at the intersections. Rogers staff said the technology would eventually be able to analyze and manage traffic in real-time, including through AI-powered traffic signal adjustments.

During a visit to University Avenue and Adelaide Street West on Thursday, Dayal explained the cameras anonymize faces and capture vehicles, cyclists and pedestrians. He said the only data captured is how people are travelling.

“Having that bird’s eye view of the intersection, you can have a real appreciation of the conditions in real-time,” Dayal told CityNews.

“What happens is these (traffic signals) are on a fixed timeline and now what you have the ability to do is to control the intersections more dynamically.

“The idea here is being able to monitor what’s happening in the intersection … to adjust to where the queueing is happening, or where the traffic is flowing from, will obviously then give you an opportunity to improve the idle time which obviously is contributing to loss of productivity, but also greenhouse gases.”



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