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Cities face challenges with inefficient parking space utilization leading to increased traffic congestion and CO2 emissions. Current systems lack real-time data accuracy and integration capabilities with urban mobility platforms. Sensor selection between light/distance measurement technologies presented technical complexity due to varying environmental conditions and data consistency requirements.
IoT technology provider specializing in Smart City infrastructure solutions
Expected 30% reduction in urban traffic congestion from parking searches, 25% increase in parking revenue through optimized space utilization, and 15% reduction in CO2 emissions from decreased vehicle idling. System scalability enables deployment across 10,000+ parking spaces with centralized management via Django admin interface.