The Indonesian National Police or Polri has recently unveiled a new technology known as the Electronic Traffic Law Enforcement (ETLE) camera system. This advanced technology has been implemented by the Traffic Directorate of the Indonesian National Police and is being used across 34 regional police offices in Indonesia. The ETLE system is designed to help enforce traffic laws and keep the roads safe.
There are three types of ETLE cameras currently in use, including static, mobile, and portable cameras. The static ETLEs are stationary and are installed in specific locations.
The mobile ETLEs, on the other hand, are equipped with smartphones and can be moved around to different locations. The portable ETLEs are designed to be easily moved around and can be set up quickly in any location where they are needed.
The CEO of Nodeflux, Meidy Fitranto, has explained that the artificial intelligence software used in Indonesia for the ETLE system must meet global standards and be trained for unique problems specific to Indonesia.
This software is used to power the facial recognition technology that is integrated with the ETLE system. In addition to license plate recognition, the ETLE system is capable of identifying the faces of car and motorcycle drivers.
According to I Made Agus Prasatya, the Head of IT Division of the Indonesian National Police Traffic Corps, the ETLE system is being used to map and identify traffic-related issues based on information technology.
This includes identifying drivers who use fake license plates, which is a growing trend in Indonesia. This is a criminal offense that can now be more effectively identified and prosecuted with the help of the ETLE system.
The ETLE system is an important tool in helping the Indonesian National Police enforce traffic laws and keep the roads safe. With the help of advanced facial recognition technology and artificial intelligence software, the ETLE system is able to quickly and accurately identify traffic violators and help bring them to justice.
This system is integrated with the IT division of the Indonesian National Police Traffic Corps and has already been implemented in 295 static camera units, 905 mobile units with smartphones, and 63 mobile units installed on patrol cars.
This system has undergone testing in various locations across Indonesia, including Bandung, where the police integrated the ETLE system with face recognition technology.
This technology has been designed to help the police map and identify traffic-related issues based on information technology, thereby improving traffic safety in Indonesia.