Kuala Lumpur City Hall (DBKL) will be installing 5,000 closed-circuit television (CCTV) cameras with artificial intelligence features in the capital to expand and improve its integrated transportation management.
According to Bernama, the Federal Territories Minister, Datuk Seri Shahidan Kassim said that they had currently installed 3,000 cameras and these will be used mainly for smart traffic system management, crime monitoring, community monitoring, and monitoring DBKL assets.
As for the remaining 2,000 CCTV cameras, he expects them to be put up by the end of the year.
“The AI system being used can detect real-time incidents and situations such as potholes, cement spilled from lorries, and illegal traders by the roadside. Notifications of such incidents will help DBKL implement monitoring, prevention, enforcement, and maintenance work.” he said.
He added that with these cameras, DBKL has managed to reduce the use of its preventive maintenance budget.
He said this during the press conference while launching the rebranding of the Transportation Management Centre at the Kuala Lumpur Command and Control Centre yesterday (15 October).
Meanwhile, Shahidan said the latest system is equipped with the ability to collect, process, and provide feedback on the data collected in the city, and these information will help DBKL more effectively and efficiently manage the city.
In addition, he said that various single systems that is currently being used by DBKL such as licensing, enforcement, and transportation systems (traffic lights and Go KL City Bus system) will be integrated into the smart city system.
He said these new CCTV cameras and integrated systems will help monitor and prevent vandalism, as well as improve the maintenance and protection of assets.
“The effort also involves the installation of 140 full-colour VMS (vehicle monitoring system) units, 42 panic button units in public parks, and 78 speakers, to be fully completed at the end of this year.” he said.
He also said the system can monitor road damage and identify faded road markings, broken street lights, traffic lights, and fallen trees, as well as detect traffic offences that cause congestion.
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