Skip to content
‹ Back to IndustriesIndustrial IoT

From Streetlights to Buildings: Using Smart City Technologies in Decarbonizing Urban Spaces

In the heart of Dallas, a neighborhood previously facing challenges has blossomed into a shining example of the potential of smart city technologies transforming a community. By integrating AI-enabled cameras on streetlights, widespread Wi-Fi, and many other technological advancements, the city has witnessed a dramatic reduction in crime and a surge in the quality…

This story was produced through MarketScale. See how Industrial IoT teams put it to work with AI Visibility (GEO).

By Amritanshu Pandey · · Amritanshu PandeyDallas Red Cloud ProjectRed Cloud ProjectSmart Cities
Share

Key takeaways

01

In the heart of Dallas, a neighborhood previously facing challenges has blossomed into a shining example of the potential of smart city technologies transforming a community.

02

By integrating AI-enabled cameras on streetlights, widespread Wi-Fi, and many other technological advancements, the city has witnessed a dramatic reduction in crime and a surge in the quality…

Free workspace

Turn your Industrial IoT expertise into content.

Record interviews, organize footage, and write with AI on a free trial of the MarketScale platform for qualifying companies. No demo required, no credit card.

Try it Free

In the heart of Dallas, a neighborhood previously facing challenges has blossomed into a shining example of the potential of smart city technologies transforming a community. By integrating AI-enabled cameras on streetlights, widespread Wi-Fi, and many other technological advancements, the city has witnessed a dramatic reduction in crime and a surge in the quality of life. This initiative, known as the Red Cloud project, rejuvenated the infrastructure and instilled a newfound sense of safety and morale among its residents. With an investment of $3.8 million, Dallas has set a precedent, showing that with the right approach, urban areas can harness smart city technologies to create safer, more vibrant communities. As cities worldwide grapple with modern challenges, Dallas’s success story offers a promising blueprint for the future of urban living.

How can other cities take successful elements of the Red Cloud project and implement these solutions to benefit the community while simultaneously improving climate and sustainability goals?

Amritanshu Pandey, an Assistant Professor at the University of Vermont, sees many positive takeaways from the Red Cloud project.

Amritanshu’s Thoughts

“I want to comment on a story about using smarts to improve the lives of a community. This particular project was the Dallas Red Cloud Smart City project. And they found that the project itself had wide-ranging benefits for the community.

In general, when I think of a smart city or smart solutions, I think about using information to make decisions to improve people’s lives. And in this case, they collected information through cameras or other internet-operated devices to improve the lives of those in that community.

My research focus is on power systems and energy systems. And really, my goal is to develop technologies that help electrify the electric grid, that help decarbonize the electric grid, and really to bring flexibility into the resource mix. And that’s where I feel having smart solutions or having solutions that fit under the umbrella term of smart cities is very beneficial. And I want to give a few examples here.

For instance, if we could have streetlights that could observe whether there are people on the road or not people on the road and turn on the density of the light, it could help save some money. The same goes for buildings. We could actually have buildings that can look at the occupancy of those buildings and regulate the temperature. In doing so, it can significantly reduce its carbon footprint.

These are very simple examples wherein I’m using sensors, where I’m using data, and really the internet, the power of collecting data in one place and making decisions to really reduce the carbon footprint of the technologies that we use in our day-to-day life.”

Article by James Kent

Your experts belong here

Every story in MarketScale Industrial IoT starts with a company putting its controls engineers, plant-floor specialists, and integration partners on the record. Buyers are already reading this topic. The only question is whose experts they find.

Plant and controls buyers research deep before contact, and your engineers get to shape that research.

Book DemoSee how it works15 minutes, straight to a calendar.

About the author

Amritanshu Pandey
Amritanshu PandeyAssistant Professor

Amritanshu develop computational methods and models for electrical energy systems with a real-world impact. His focus areas are sustainable smart cities, renewable integration, electric mobility, grid reliability and resilience, cybersecurity, and energy equity. In the past, Amritanshu (with his colleagues) developed a novel circuit-theoretic simulation and optimization framework for power grids. The project culminated in a new grid analytics tool: Simulation of Unified Grid Analysis and Renewables (SUGAR), which has since been commercialized at Pearl Street Technologies, Inc.

B2B Weekly

The week in Industrial IoT, and sixteen other industries, every Monday.

Ten stories, one-line takes, five minutes. Free.

Industrial IoT: are you visible to AI?

Before they reach out, Industrial IoT buyers ask AI engines which vendors to trust. Explore how your experts, customers, and partners can become useful content for buyers and AI search.

Free Trial

You just read one Industrial IoT expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your controls engineers, plant-floor specialists, and integration partners into the articles, video, and social content Industrial IoT buyers are searching for. Start a free trial and see it with your own people. For qualifying companies, no credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What your free trial includes

Hands-on access to the MarketScale platform
Media requests to your crowd, remote recording, AI writing tools
No demo required. No credit card.
For qualifying companies. Company confirmation required.

More Industrial IoT Insights

A3's final mobile robot safety standard is written for the sites running the robots

A3's final mobile robot safety standard is written for the sites running the robots

ANSI/A3 R15.08-3-2026 is now available from A3. It completes the three-part R15.08 series for industrial mobile robot (IMR) safety. Part 3 is written for the sites that run the robots. It covers risk assessment, management of change, employee training and periodic reviews and inspections, so safety work continues in day-to-day operation after deployment.

  • 01The robot maker documents the environment a mobile robot was built for, and Part 3 makes the operating site responsible for managing changes to the environment the robot actually works in.
  • 02Part 1 was reaffirmed in 2026 with no technical changes, while Part 3 spells out what users must do to operate IMR applications safely.
  • 03Sites running both fixed robot cells and mobile robots can align one safety program, because R15.08 Part 3 was developed alongside R15.06 Part 3 for consistent guidance across both.

Oct 11, 2026

Schneider's $22.6 billion PTC deal is a bet on design data for industrial AI

Schneider's $22.6 billion PTC deal is a bet on design data for industrial AI

Schneider Electric is buying PTC for $22.6 billion in cash. It is betting PTC’s design and engineering data can help deploy industrial AI for manufacturers. The deal is expected to close by the third quarter of 2027, subject to approvals from PTC shareholders and regulators.

  • 01Schneider says the combined business will be open and interoperable across customers’ design, control, data and AI systems. Buyers will need that promise to hold.

Oct 10, 2026

Matt Kelly says packaging automation pays back under two years

Matt Kelly says packaging automation pays back under two years

Matt Kelly and Joe Bradley argue brownfield warehouses often speed up picking while leaving packing manual. SupplyChainBrain reported in June 2026 that Kelly said service-model packaging projects can pay back in as little as one month and capital projects in under two years. Sparck's published 3-second boxing benchmark shows why operators still need a workflow-by-workflow comparison.

  • 01SupplyChainBrain reported in June 2026 that Kelly said some service-model packaging projects can pay back in as little as one month and capital projects in under two years.
  • 02Bradley says BoxLast can work from a license plate ID, a unique order identifier, so the machine can print and apply a shipping label without preloading weights and dimensions.
  • 03Sparck benchmarks, up to 20 stations and a box every 3 seconds, illustrate why operators must compare throughput, staffing and machine scope.

Oct 2, 2026

Explore More Industrial IoT Insights

Read more expert perspectives from across Industrial IoT.

Browse Industrial IoT Hub

About the Expert

Amritanshu Pandey
Amritanshu Pandey

Assistant Professor

Amritanshu develop computational methods and models for electrical energy systems with a real-world impact. His focus areas are sustainable smart cities, renewable integration, electric mobility, grid reliability and resilience, cybersecurity, and energy equity. In the past, Amritanshu (with his colleagues) developed a novel circuit-theoretic simulation and optimization framework for power grids. The project culminated in a new grid analytics tool: Simulation of Unified Grid Analysis and Renewables (SUGAR), which has since been commercialized at Pearl Street Technologies, Inc.

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Industrial IoT and beyond.

Book a Demo

Or call us. No forms required. We pick up. 214-945-2512