Expanding Fybr’s Parking Solution in Columbus
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Fybr was selected to move forward with an expansion of a parking pilot with the City of Columbus, Ohio. The City is testing Parking Space Availability Technology to provide accurate, real-time parking data via its ParkColumbus mobile app.
After a rigorous evaluation and a three-month trial, Fybr’s Smart Parking Solution was selected to provide real-time occupancy data of on-street parking information in the vibrant Short North Arts District. Due to the success of the pilot, Columbus now plans to expand the program with the deployment of additional parking sensors. “While we have the utmost confidence in our technology, it is nice to have the City of Columbus come to the same conclusion when our platform was tested against other technologies,” said Bob Glatz, CEO of Fybr.
Fybr was chosen as the technology provider to move forward with a pilot expansion that will run for the next 3 to 6 months. If successful, the City may continue to expand the program.
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.
About Fybr
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.
Innovating Parking in Columbus: An interview with Robert Ferrin
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 Promotes Linnell Gorden to Executive Vice President, Software Engineering.
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Recognizing The Truth: Where Camera-Based Recognition Falls Short
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.