Smart City — Urban Automation
City-scale automation across traffic signals, street lighting, and waste management. Sensor-driven control optimizes flow, energy, and operations with real-time alerts and orchestration.
Orchestrating the Connected Metropolis
SGT Systems redefines urban living by weaving intelligence into the very fabric of the city. Our comprehensive Smart City Platform integrates Traffic, Lighting, Waste, and Environmental monitoring into a unified "City Brain." By leveraging IoT sensors, Edge AI, and Big Data analytics, we help municipalities reduce operational costs, lower carbon footprints, and dramatically improve the quality of life for citizens.
Intelligent Mobility
Say goodbye to static timers. Our Adaptive Traffic Control System (ATCS) uses computer vision and induction loops to adjust signal timing in real-time based on actual congestion, creating "Green Waves" for smoother commutes.
Smart Illumination
Slash energy bills by up to 40%. Our smart controllers enable remote dimming, scheduling, and Motion-Activated Lighting. Streetlights automatically brighten when pedestrians approach and dim when streets are empty.
Waste Optimization
Move from fixed schedules to demand-based collection. Ultrasonic Bin Fill Sensors alert the fleet when bins are full, optimizing truck routes, saving fuel, and preventing overflow.
Environmental Sensing
Deploy a network of Air Quality Index (AQI) sensors. Monitor CO2, PM2.5, and noise levels in real-time to identify pollution hotspots and inform public health policies.
City Operations Center (COC)
The nerve center of the smart city. Our Digital Twin dashboard provides a geospatial view of all assets. Administrators can visualize data layers, dispatch maintenance crews, and broadcast emergency alerts to citizen apps from a single pane of glass.
Infrastructure Architecture
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01
Sensor Layer (IoT)
Deployment of ruggedized sensors (LoRaWAN/NB-IoT) for bins, lights, and intersections.
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02
Connectivity & Edge
Secure gateways aggregate data and perform edge processing for immediate local actions (e.g., turning lights on).
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03
Cloud Analytics & Action
Big Data processing triggers automated workflows, maintenance tickets, and public notifications.
Quantifiable Impact
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Sustainability First Reduce municipal energy consumption by 30-40% and lower fleet fuel usage through optimized routing.
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Citizen Satisfaction Reduce traffic congestion times by ~20% and ensure cleaner streets with overflow prevention.
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Operational Efficiency Predictive maintenance alerts mean crews fix infrastructure before citizens even report a complaint.