“With the increasing number of systems and sensors installed in the smart city, there emerged a need for a data analytics system to process the information gathered from these systems in order to monitor the performance of these systems and the city’s traffic. The data analytics and exploration system utilizes artificial intelligence, algorithms, and well-established data processing platforms to continuously monitor the city’s traffic parameters and the performance of existing systems 24/7. It swiftly analyzes the traffic data parameters and system performance within seconds and presents the processed traffic information on a dashboard
By providing real-time monitoring with the assistance of human resources, this system enhances the accuracy of city traffic monitoring and system performance evaluation. Its high processing power enables the execution of advanced algorithms that would be impractical to handle manually
The Sharif konect Engineering Group is composed of professors, researchers, graduates, and outstanding students of the country who have sought to attain the latest technology and knowledge, and their goal has been to approach this ideal. With determination and the support of Sharif University of Technology officials, they have been able to move forward in this important direction and fulfill their mission in bridging the gap between university research activities and industry. The Sharif Connect Engineering Group is based in the Electronics Research Center of Sharif University of Technology and takes pride in leveraging the scientific and technological capabilities of this university and its professors
