<![CDATA[The City of Surakarta faces serious challenges in traffic safety, with 1,073 accident cases and 41 fatalities in 2024, exacerbated by an average 15-minute delay in accident detection, which can reduce victims’ survival chances by up to 30%. LALINCEK emerges as an innovative solution that utilizes the existing CCTV infrastructure at 84 strategic points across Surakarta to create an automated traffic monitoring and real-time accident detection system. This system integrates YOLOv12 technology with 84.7% vehicle detection accuracy, a homography method for speed estimation with 92% precision, and a deep learning algorithm for anomaly detection with a response time of less than 30 seconds. Unlike conventional systems that rely on manual reports, LALINCEK proactively identifies three critical anomaly types: extreme braking, sudden direction changes, and inter-vehicle distance analysis, then automatically sends notifications to the Transportation Department (Dishub), Police, and Hospitals for a coordinated response. The implementation of this system has the potential to reduce accident response time by up to 60%, increase human resource efficiency by 70%, and directly support Surakarta Zero Accident. LALINCEK can be seamlessly integrated with the Surakarta Smart Governance ecosystem through the platform https://ccroom-dishub.surakarta.go.id/, contributing to four dimensions of Smart City: Smart Governance (service digitalization), Smart Living (enhancing safety), Smart Environment (emission monitoring), and Smart Society (community empowerment), making it a technological investment that delivers real impact on the safety of Surakarta’s citizens.]]>
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