SMART STREET LIGHTING: AI-DRIVEN PREDICTIVE MAINTENANCE FOR SAFER AND SUSTAINABLE CITIES
Keywords:
Street lighting, Urban infrastructure, Safety and security, Traditional maintenance approaches, Predictive analysis, Data analyticsAbstract
Street lighting is essential for urban safety and security, but traditional maintenance methods often fall short due to their reactive nature, relying on periodic inspections and manual interventions. These outdated approaches lead to inefficiencies, higher costs, and delays in addressing outages, ultimately compromising public safety.
References
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