Signify and Upciti Announce Intent to Partner

News Source: 
 
September 27, 2022

Signify and Upciti to partner to help cities and utilities across North America leverage their street lighting infrastructure to improve transportation, public safety and sustainability
 
New connected sensor technology to support smart parking, crowd detection and traffic management applications
City of Albany, New York to pilot sensor solution and extend the value of Signify’s connected LED luminaires and Interact IoT system, deployed as part of NYPA’s Smart Street Lighting program

Bridgewater, NJ – Street lighting provides a strong foundation to make cities smart, livable and sustainable. Signify (Euronext: LIGHT), the world leader in lighting, and Upciti, an expert in artificial intelligence and edge computing, today announced their intent to partner. The companies aim to help cities and utilities across the United States and Canada get added value, well beyond illumination, from their lighting infrastructure.

By leveraging Signify’s road and street LED luminaires and Interact IoT connected lighting system and Upciti’s “privacy by design” edge computing image analysis sensors, cities can:  
 
  • Improve services like parking. Sensors can detect open spaces, communicate availability to drivers and assist them with navigation, reducing traffic congestion, supporting economic activity and even generating direct parking revenue.
  • Support public safety. Sensors can help identify potential situations and alert emergency services in the event they are needed.
  • Identify vehicle queue sizing on streets and understand public transportation and bike lane usage. With this data, the traffic flow can be adjusted and optimized in real time to reduce congestion and its contribution to carbon emissions.
 
“With the US government’s historic, $1.2 trillion Infrastructure Investment and Jobs Act, it has never been a more opportune time for cities to leverage their street lighting infrastructure, to tackle some of their greatest challenges such as transportation, public safety and sustainability,” said Martin Stephenson, Head of North American Systems & Services and President, Canada, Signify. “Cities can reap immediate value from adding IoT and sensor technology, while laying the foundation for a larger transformation journey.”
 
A smarter street lighting infrastructure for New York’s state capital
 
As part of the New York Power Authority’s (NYPA) Smart Street Lighting program, NYPA engaged Signify through a competitive procurement process that enabled Albany to upgrade its nearly 11,000 streetlights to energy-efficient, connected LED luminaires. The city also uses Signify’s Interact IoT system to monitor and manage the lights, helping it to be an energy-smart city.  
 
“Connected LED street lighting plays an important role in building smart city infrastructure. An early adopter, the City of Albany has realized tremendous energy and operational savings,” said Jesse Scott, Director of Projects, NYPA. “We are thrilled with the prospect of piloting the sensor solution in Albany, so it can bring even more value for the city and residents. It will enable departments, from the parking authority to city planning, to make data-driven decisions to improve public safety, support future planning and improve communication infrastructure in disadvantaged communities.”
 
Street lighting is not just for illuminating roads – the latest technology can help us create a more safe and equitable community. We have already reduced energy and carbon emissions and have saved millions in operating costs. We intend to continue utilizing city-wide infrastructure, so we can ensure a bright future for generations to come.”
 
Meet Signify and Upciti at the Smart Cities Connect Conference & Expo, taking place September 26-29, 2022 in Washington, D.C. Email Scott McCarley at scott.mccarley@signify.com or stop by booth #307 for a demo of the Interact IoT system and the Computer Vision multi-use sensor.
 
Release Date: August 8, 2022
File Format: PDF / Excel
Language: Traditional Chinese / English
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