TCS creates solution to cut payback on expensive LED lights by half

It can deliver additional 15-25% savings using machine learning and predictive analytics

Press Trust of India  |  Mumbai 

TCS creates solution to cut payback on expensive LED lights by half

Country's largest software exporter today said it has created a solution that will cut payback on expensive lights by half.

The software, which comes amid a greater thrust on Smart Cities, cuts energy consumption using self-learning algorithms and will reduce the typical four to five year payback on the lights to just two to three years, the Tata group company said in a statement.



The intelligent urban exchange (IUX) for adaptive streetlight optimisation will also enable cities to jump start projects in other domains, such as water and transportation, by leveraging smart streetlight wide area networks and a common data analytics platform, it said.

"Like the dawn of the Internet, we're just scratching the surface of what's possible when cities intelligently connect scores of new urban data sources," its group head for software and solutions group Seeta Hariharan said.

The statement said streetlights account for up to 50 per cent of a city's energy budget and claimed company's solution which is designed for both and conventional lighting, acts as a "energy advisor" for policymakers.

It can deliver an additional 15-25 per cent savings on top of the 50 per cent energy savings from lighting by optimising streetlight operation using and on real-time and historic data.

It enables individual streetlights to respond to real-time events by automatically adjusting city lighting to suit changes in crime patterns, traffic, people movement, and weather, it said.

It cited the example of a crime scene or an accident, which would require higher muninosity lighting as more people gather and added that the solutions helps deliver that.

TCS creates solution to cut payback on expensive LED lights by half

It can deliver additional 15-25% savings using machine learning and predictive analytics

It can deliver additional 15-25% savings using machine learning and predictive analytics Country's largest software exporter today said it has created a solution that will cut payback on expensive lights by half.

The software, which comes amid a greater thrust on Smart Cities, cuts energy consumption using self-learning algorithms and will reduce the typical four to five year payback on the lights to just two to three years, the Tata group company said in a statement.

The intelligent urban exchange (IUX) for adaptive streetlight optimisation will also enable cities to jump start projects in other domains, such as water and transportation, by leveraging smart streetlight wide area networks and a common data analytics platform, it said.

"Like the dawn of the Internet, we're just scratching the surface of what's possible when cities intelligently connect scores of new urban data sources," its group head for software and solutions group Seeta Hariharan said.

The statement said streetlights account for up to 50 per cent of a city's energy budget and claimed company's solution which is designed for both and conventional lighting, acts as a "energy advisor" for policymakers.

It can deliver an additional 15-25 per cent savings on top of the 50 per cent energy savings from lighting by optimising streetlight operation using and on real-time and historic data.

It enables individual streetlights to respond to real-time events by automatically adjusting city lighting to suit changes in crime patterns, traffic, people movement, and weather, it said.

It cited the example of a crime scene or an accident, which would require higher muninosity lighting as more people gather and added that the solutions helps deliver that.
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