Making Communities Smarter
Cities are growing by the day with more than two thirds of the world’s population expected to live in urban areas by 2050. As cities grow, the evolution of urban infrastructure has never been more critical to community development and overall quality of life. The Fybr Smart City Platform helps communities operate more efficiently while reducing operating costs and improving the lives of everyone.
Smart City Platform
Our highly secure, end-to-end IoT solution delivers real-time data on things like lighting, transportation, weather, air quality, and water level monitoring—turning collected information into actionable insights that allow communities to make proactive and informed decisions.
How We Do It
An Ecosystem Built For Communities
Fybr’s comprehensive, modern framework spans from edge devices to cloud servers to deliver real-time sensing data via intelligent machine-learning algorithms. This enables communities to proactively detect issues and address them before they become a problem. Designed from the ground up, our highly accurate and durable solution is affordable, easy to install, and flexible enough to meet the needs of any community large or small. It can also be easily integrated with existing operations. Our portfolio of services—strategy, design, device and system prototyping, and program management—provides communities with the best and fastest opportunity to create a return on investment.
Trusted by Top System Integrators
Fybr has been selected as a leading Smart City partner by a number of the top system integrators for our experience, track record, and capabilities.
The Columbus Division of Parking Services embraces the spirit of innovation and the use of technology to create an optimal on-street parking experience in its urban neighborhoods.
Fybr proudly announces Linnell Gordon will be assuming the position of Senior Vice President, Software Engineering. Beginning with Fybr as a consultant in 2014, Gordon was initially brought on board to support the Java-based infrastructure in place at the time.
Camera-based image recognition systems are built on a simple premise- they are electronic “eyes” capable of recognizing unique items and capturing data. The unique item can be everything from a license plate number to a human face. Once recognized and captured, the resultant data can be applied to a wide variety of use cases, such as parking, traffic, or law enforcement. This simple premise is easy to grasp, and its outcome is a highly-desirable one. But as with many technologies, what works in theory under controlled conditions and what works in practice in real-world situations aren’t always the same.