Transform ordinary street lighting into an intelligent urban infrastructure. With real-time sensing and adaptive control, our system ensures energy savings, enhanced safety, and seamless smart city integration. Built on the principle of Perceive → Analyze → Execute, the system integrates sensors, edge computing, and adaptive dimming. A future-ready solution to make street lighting responsive, sustainable, and efficient.
Automatic Scene Control is an advanced lighting management method that enables streetlights to respond intelligently to real-world conditions. Instead of relying on fixed schedules or manual operations, the system continuously perceives the environment through sensors, analyzes data with edge computing and cloud platforms, and executes precise actions via LED drivers. This closed-loop process ensures that every streetlight delivers the right illumination at the right moment—improving efficiency, safety, and sustainability for modern urban infrastructure.
A complete Automatic Scene Control system is built on a three-layer architecture that links sensing, analysis, and execution into a unified process. By continuously collecting environmental data and applying intelligent decisions, the system ensures precise lighting adjustments in real time—delivering energy efficiency, safety, and reliability for modern street lighting.
Equipped with light sensors, radar/microwave detectors, and cameras to capture environmental brightness, vehicle flow, and pedestrian activity.
Edge gateways process local data in real time, while the cloud platform collects and optimizes strategies based on historical trends.
Intelligent LED drivers adjust brightness precisely, ensuring energy savings and enhanced road safety.
By integrating these layers, streetlights evolve from simple on/off devices into dynamic, responsive nodes of the smart city network.
With Automatic Scene Control, streetlights adapt to vehicles, pedestrians, traffic flow, and weather, ensuring the right brightness at the right time and place.
| Scene | Perceive | Automatic Control | Benefit |
|---|---|---|---|
| Dusk / Dawn | Photocell measures ambient light level | Auto switch on at dusk, off at dawn | Basic automation, replaces timers & manual work |
| Vehicle-Triggered Lighting | Radar detects approaching vehicles & speed | Ahead lights ramp to 100%; trailing lights fade to ~30% | Major energy saving, better driver visibility |
| Pedestrian Boost | Camera/IR identifies pedestrians in the zone | Target lamp and neighbors increase brightness | Safety & comfort for walkers and cyclists |
| Traffic Congestion | Video analytics detect long queues & low speed | Maintain high-level lighting; push data to traffic platform | Accident risk reduction & smart-traffic data |
| Event / Incident Alert | Acoustic sensor (brake/impact) or fall detection | Warning flash pattern; auto alarm to control center | Public safety, faster response time |
| Weather Adaptation | Weather API / sensors detect rain, fog, or snow | Global dimming profile raised one level | Visibility in adverse weather, fewer incidents |
Automatic Scene Control turns lighting from a fixed-cost asset into a responsive, data-driven system. It delivers measurable outcomes across safety, energy, and operations—helping you win tenders and run networks at lower total cost.
Adaptive dimming by traffic/pedestrians and weather-based profiles cut kWh without compromising visibility.
Higher luminance when vehicles or pedestrians are present; incident signals improve driver awareness and response.
Remote monitoring, automated fault alarms, runtime/cycle counters, and predictive maintenance reduce site visits.
Per-pole energy metering, traffic and pedestrian heatmaps, API export to traffic and city platforms for integrated decision-making.
Supports DALI-2/0–10 V drivers, NEMA/ Zhaga sockets, and common comms (LoRa, NB-IoT, BLE, PLC) for phased upgrades.
Easier alignment with tender specs and lighting standards; transparent CO₂ reduction reporting for sustainability goals.
Replace fixed timers and manual switches with real-time, data-driven decisions—delivering the right light only when and where it’s needed.
| Traditional Control | Automatic Scene Control |
|---|---|
| Energy Waste | Demand-responsive dimming based on vehicles, pedestrians, and weather 30–60% kWh ↓ |
| Safety Blind Spots | Context-aware lighting: ramp up for approaching cars and walkers; hold higher levels in congestion/incidents |
| High O&M Costs | Remote monitoring, fault alarms, runtime counters, and predictive maintenance Truck rolls ↓20–40% |
| No Operational Data | Per-pole energy metering, traffic & pedestrian heatmaps, API export to city/traffic platforms |
| Rigid & Closed | Open & scalable: DALI-2 / 0–10 V, NEMA/Zhaga, LoRa / NB-IoT / BLE / PLC for phased retrofits |
| Tender Compliance Risk | Proven alignment with municipal specs & lighting standards; easier acceptance and reporting ESG & CO₂ reports |
Automatic Scene Control is engineered for seamless integration with street-lighting hardware and city platforms—reducing retrofit risk and accelerating deployment.
Automatic Scene Control works best with clear, measurable policies. Define rule sets by road class, time window, and sensor triggers. Examples include dusk ramp up, vehicle triggered boost, pedestrian corridor uplift, congestion hold, and adverse weather override. For each policy, specify target luminance/illuminance, fade times, minimum and maximum dimming limits, and fallback behavior such as an astronomical clock or a last good profile. This keeps lighting responsive, consistent, and easier to commission and optimize across varied road types.
These questions explain how automatic lighting scenes are triggered, adjusted and maintained in outdoor, industrial and public-area lighting projects.
Automatic scene control applies predefined lighting settings when a selected condition is met. A scene may change switching status, brightness levels or lighting groups according to time, daylight, movement or another approved project input.
Common triggers include preset schedules, astronomical time, photocells, PIR or microwave sensors and commands from a compatible management system. Available triggers depend on the installed controllers, sensors and software configuration.
Yes, when manual override is included in the system design. Authorized operators can temporarily change a scene for maintenance, emergencies or special events, with the return-to-automatic rule defined during commissioning.
Scenes stored in a local controller or gateway can continue operating during a temporary internet interruption. Cloud-based changes and remote monitoring may be unavailable until the connection returns, so essential strategies should have local execution where required.
It may be possible if the existing drivers and fixtures support the required dimming or switching method. The wiring, available installation space, controller interface and sensor positions should be checked before confirming a retrofit solution.
Each scene should be tested under real operating conditions. The project team should confirm trigger thresholds, dimming levels, delay times, zone assignments, manual override rules and the default response when sensor or communication data is unavailable.