Saudi Arabia and Odisha Police are harnessing the power of artificial intelligence (AI) to streamline traffic and manage crowds during religious festivals. In Saudi Arabia, the Ministry of Interior and the Ministry of Transport and Logistics are implementing AI-powered solutions to enhance traffic management during the annual Hajj season in Makkah. These solutions include real-time traffic monitoring, adaptive signal control systems, and the use of drones for road network inspection and evaluation. The Ministry of Health will also utilize drones to transport blood and laboratory samples between hospitals around the holy sites. Additionally, the Public Transport Authority has launched an initiative that uses drones connected to an AI program to measure the real-time movement of pilgrims to the holy sites by bus. Electric scooters will also be available at the holy sites to facilitate movement and reduce congestion [f31ca36f].
In Odisha, India, the police will employ AI technology for traffic and crowd management during the Lord Jagannath Rath Yatra. The AI system will monitor and manage the movement of vehicles and people during the festival. It will analyze real-time data from CCTV cameras and drones to identify traffic congestion and crowd density. The AI system will provide recommendations for efficient traffic flow and crowd control, ensuring the smooth conduct of the Rath Yatra and enhancing public safety [6ff07926] [4dd6f09c].
In Melbourne, Australia, artificial intelligence-powered cameras are being installed on the fleet of a major electric scooter rental company, Neuron Mobility. The AI technology, called ScootSafe Vision, can detect illegal behavior, such as riding on footpaths, in less than a second and issue a warning in real time. The cameras will be installed on 1250 additional e-scooters by the end of this year, in addition to the ones already equipped with front-facing cameras. The City of Melbourne supported a trial of the technology in August 2023. Neuron Mobility Australia and New Zealand general manager Jayden Bryant expects the AI technology to significantly reduce footpath riding in the city [e87a37ea].
The Bengaluru Traffic Police (BTP) in Bengaluru, India, plans to upgrade its AI cameras to detect close to 10 traffic violations, an increase from the current seven. The AI cameras, installed under the Intelligent Traffic Management System (ITMS), have been successful in detecting most traffic violations but are not equipped to identify certain violations. The BTP will use advanced technology to upgrade the cameras and address this issue. The most violated rules include riders and pillions not wearing helmets, jumping traffic signals, and driving without safety belts. A team of 18 officials has been assigned to manually re-check all violations recorded by the cameras in response to complaints of wrongful penalties. The upgrade aims to improve the accuracy and effectiveness of traffic violation detection in Bengaluru [3e27b047].
Meanwhile, in Abu Dhabi, the Abu Dhabi Police have deployed an AI-powered robot to educate and engage the public on traffic safety. The robot, designed with a human-like appearance, is programmed to raise awareness and interact with the public at various events and exhibitions. It displays digital traffic awareness videos, responds to inquiries, offers traffic tips, and provides safety guidelines for pedestrians, students, and school buses. The robot can also participate in traffic safety contests. The deployment of AI reflects the leadership's vision for a sustainable future and aims to streamline efforts, save time, and enhance police work. AI can analyze data, compare historical trends to current conditions, and create real-time insights to aid traffic managers in making decisions to decrease congestion. The robot is part of the latest global trends in digital traffic education [026b9f0e].
In Argentina, President Javier Milei plans to use AI to predict future crimes. The 'Artificial Intelligence Applied to Security Unit' will use machine-learning algorithms on past data to make predictions. However, human rights advocates in Argentina are concerned about the potential for profiling and self-censorship. Security minister Patricia Bullrich claims the technology will improve the efficiency of police and security forces. AI integration into policing has been seen in the UK, but there have been concerns about accuracy and civil liberties. Milei's administration has taken a tough stance on crime and protests. The success of predictive algorithms depends on the quality of the data input [c03afe0c].