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Prolintas uses AI, machine learning in highway operation management

Prolintas uses AI, machine learning in highway operation management
The highway concessionaire has been using the Smart Surveillance System (S3) and Prolintas Integrated Maintenance Escalations (Prime) which are based on smart technology system.- Photo courtesy of PROLINTAS.

KUALA LUMPUR: Highways operator Prolintas has achieved another milestone by developing and integrating artificial intelligence (AI) and machine learning as part of their highway management.

The highway concessionaire has been using the Smart Surveillance System (S3) and Prolintas Integrated Maintenance Escalations (Prime) which are based on smart technology system.

This system upgrade has put Prolintas as the first in the country to utilise such advanced technology system in highway management operations.

Prolintas group chief executive officer Datuk Mohammad Azlan Abdullah said the system upgrade was aimed to improve the level of highway efficiency.

“By using S3, we will be able to do highway surface monitoring, faulty assets detection, road accidents, foreign object, stagnant water areas and animal presence.

“Apart from that, it will also be able to do live video streaming (of the highway), real-time integrated notification and reporting.

“We are proud to be able to integrate such smart technology into our highway management operation, as it is in line with the company’s ongoing effort in increasing safety rate and satisfaction level among highway users.

“We are also prioritising efficient and modern way of working by utilizing technology, in line with the Industrial Revolution 4.0,” he said in a statement, today.

The S3 system, which was launched on August 19 this year has detected over 1,303 cases on its first month and 440 cases on its subsequent months.

“From these figures, more than 50 per cent of the surface damages and highway assets had been detected by the system through real-time S3 notification and repaired immediately”.

The system will be utilised at all the highways under the Group’s management such as Ampang-Kuala Lumpur Elevated Highway (AKLEH), Guthrie Corridor Expressway (GCE), Kemuning-Shah Alam Expressway (LKSA) and Kajang SILK highway.

Azlan said the S3 core system was based on artificial intelligence technology and machine learning, which are named ‘AISYA’ (artificial intelligence system analytics).

“A dashboard camera equipped with image pre-processor by a small-sized computer called raspberry pi will be used for detection.

“These cameras are installed in every highway patrol car.

“The image captured will then be send directly over a 4G network to cloud server for identification and classification purposes, to determine the next course of action.

“From this, Aisya will process the images, and then proceed to conduct detection, classification, data analysis and digital report in an integrated manner.

“The system will then notify the officers on duty through our mobile application or websites,” he said.

Meanwhile, another system called Prime was also launched for highway management operation was developed by using Microsoft Kaizala and Flow.

“It will be a continuation of our efforts in digitising Prolintas system management which will modernise incident reporting work, maintenance activities, increase the efficiency of highway repairing process and monitor work progress.

“Prime has assisted the system management in the process of generating automation modules for maintenance scheduling and digitisation work where the manual form will be replaced with an action card through the Microsoft Kaizala platform.

“With these technologies, we hoped that it will help our highway surveillance operations to be more competitive and systematic, while providing optimal focus in ensuring the safety and satisfaction of highway users,” Azlan said.

Source: www.nst.com.my

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