Open AccessCloud based Single Shot Multi Box Detection (SSD) Architecture Models for Jakarta Traffic Jam Monitoring
Author(s) -
Alfan Presekal,
Muflih Fathan,
I Gde Dharma Nugraha,
Kalamullah Ramli
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b7896.129219
Subject(s) - cloud computing , computer science , real time computing , analytics , work (physics) , architecture , transport engineering , artificial intelligence , engineering , data mining , geography , operating system , mechanical engineering , archaeology
Traffic jam is still one of the main problems in Jakarta Indonesia. To encounter this problem, we proposed system to monitor the road and perform calculation on vehicles speed and road density. To achieve this, we used SSD to detect vehicle traffic on Jakarta’s road which obtained from public IP Camera. The main contribution of this work are utilization of public IP Camera and remote traffic analytics via cloud based artificial intelligence system. As a result, the program can perform monitoring on roads condition in real time. The accuracy of the system in average is 80% with highest accuracy achieved 92% to detect vehicle speed and road density.