Fybr Installs Smart Parking System in Westerville, OH
St. Louis, MO (May 19, 2019) – Fybr has been selected by the City of Westerville, Ohio as their technology partner for a Smart Parking Pilot. The City is testing Smart Parking Space Availability Technology in the popular Uptown District to reduce traffic congestion and provide citizens with accurate, real-time information for finding open spaces in parking lots. City Manager David Collinsworth said, “If this is successful, we will extend it out to the bounds of parking lots in Uptown and then also our on-street parking.”
“We are excited to be a part of Westerville’s move to becoming a Smart City,” said Bob Glatz, CEO of Fybr. “Given our history with large-scale parking sensor deployments and recent expansion in Columbus, we are confident in our ability to meet or exceed the city’s expectations.”
Fybr’s smart parking sensors and applications allow drivers to find parking in real time and provide turn-by-turn directions to open spaces. The City will be testing the program over the next 14 months in four Uptown off-street parking lots. Fybr has completed the installation and testing will begin in late May.
Fybr’s parking sensor offers a highly accurate, low-cost solution for detecting vehicles in spaces on-street, in surface lots, or garages.
With ultra-low latency and a 7-10 year battery life, the Parking Sensor III delivers real-time space occupancy – allowing both consumers and cities to make better, informed parking decisions.
Fybr’s Smart City Platform helps communities operate more efficiently, reduce operating costs, and improve the quality of life. With a turnkey solution that collects more information—more efficiently—Fybr provides communities with the best and fastest opportunity to create a return on Smart City investments. Located in Saint Louis, MO, with a 20-year history, Fybr’s patented IoT solutions have over two billion data events logged from real-world applications globally.
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.
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