Jalan Impact Persiaran APEC Persiaran Tasik
Figure 2 : IP camera locations
system has the potential to be a game-changer for urban mobility by providing accurate and comprehensive data on traffic conditions . This data empowers authorities to make informed decisions and implement effective measures to alleviate congestion , improve road safety , and enhance overall city planning .
Pilot Project in Cyberjaya
Cyberjaya is a rapidly developing city that is home to many technology companies , universities , and residential areas . As the city grows , traffic congestion has become a significant problem that needs to be addressed . Currently , the traffic layout in Cyberjaya consists of several major roads that connect the city to other areas in the region . The main roads , such as Persiaran APEC is often congested during peak hours , especially during the morning and evening rush hours when commuters travel to and from work . This congestion significantly impacts travel time and efficiency , causing delays and frustration for motorists . Addressing this issue is crucial to improving residents ' overall quality of life and promoting sustainable development .
For this project , we collaborated with Cyberview Sdn Bhd , a technology hub in Cyberjaya , to validate our intelligent traffic monitoring system before launching it into the real world . Under the " Cyberview Living Lab Pilot " programme , we were granted access to city roadside IP cameras , allowing us to test and refine our system practically while collecting valuable data . We selected the busiest areas in Cyberjaya , Jalan Impact , Persiaran APEC , and Persiaran Tasik for proof-ofconcept evaluation . Notably , all IP cameras were mounted on single or isolated poles far from traffic intersections to reduce vibrations or movement caused by passing vehicles , thereby producing stable visual data of good quality . Figure 2 shows the locations of the IP cameras .
Figure 3 provides a detailed view of the IP camera network , highlighting the connection between the Cyberjaya roadside IP cameras and the premise where the AI machine was installed . Real-Time Streaming Protocol ( RTSP ) was used to capture real-time video feed from IP cameras , enabling the VBITMS system to receive high-quality visual data for analysis . The VBITMS system runs on a powerful AI machine with a 4.5GHz CPU , dual RTX 3090 GPUs , 32GB RAM and running on the Ubuntu 20.04 operating system . This advanced hardware configuration allows the VBITMS system to process large amounts of visual data while accurately detecting , classifying various types of vehicles and monitoring their behaviour in realtime .
The VBITMS system in this project comprises four modules , as shown in Figure 4 . The first module is responsible for capturing video inputs
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