DKI Jakarta, as the capital city of Indonesia, has many urban problems . One of them is flooding which is really difficult to overcome until now.
Residents of the city of Jakarta some time ago were shocked by the flooding that hit several points so that some residents had to flee to higher ground.
Seeing the impact, there is a solution that is currently being implemented by DKI Jakarta Provincial Government along with the Nodeflux startup to reduce the impact of flooding, namely with Vision AI technology.
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The initial information obtained from AI can accelerate in anticipation of flooding. AI help will help human work.
Faris Rahman, Co-Founder and CTO of Nodeflux, said that the existence of Vision AI technology that monitors the movement of water levels will make information more quickly conveyed, and handling the impact of floods will be faster.
Photo: Coils
Nodeflux provides Water Level Detection technology that is applied in several CCTVs. This technology is installed at eight points in the form of large times and Pints for Manggarai Water. The goal is to monitor water levels and help provide information on flood disaster mitigation.
Head of the Jakarta Smart City Research and Development Planning Unit, Octo Alexandro , explained the technological work system that will be developed by Nodeflux with a monitoring system located in the Jakarta Smart City office.
The data processed by Vision AI technology will be directly connected to the Jakarta Smart City monitoring system. Then, the data will be the basis for mobilizing alert officers to face flooding and being able to convey the information to residents.
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This system also makes coordination run smoothly and quickly. This technology can prevent officers from making mistakes in monitoring water levels, such as fatigue or night time which is difficult to monitor.
In addition there are several other features developed by Nodeflux with the DKI Jakarta Provincial Government, namely License Plate Recognition which can detect vehicle number plates. This feature will be developed to detect fake vehicle license plates and tax on delinquent vehicles.
Then there are also Vehicle Counting and Dwelling features that are used to monitor the number of vehicles and vehicle identity.
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