North Yorkshire County Council (NYCC) oversees the public services for North Yorkshire, covering an area of 3,103 square miles and a population of approx 618,000 people. NYCC develops policies and initiatives aimed at improving residents' quality of life and promoting economic growth.
NYCC noticed that smart city technology had a lot of potential, and they looked to us to help them exploit that potential. As an R&D hub, systems integrator, and installer for NYCC's smart city devices, Parallax provided the technical expertise needed to achieve their vision for a smarter, more connected North Yorkshire.
Over the years, we have fostered a collaborative partnership with the council and maintained regular contact during and between projects. This means we can work closely with them to identify potential IoT use cases and develop customised solutions that meet their requirements.
We're also equipped to handle the integration and installation of devices that the council already owns, so they can work together seamlessly, and more efficiently.
With our team of dedicated IoT specialists, back-end software engineers, DevOps, and front-end developers, our approach centred around identifying the right technology and utilising a breadth of disciplines to provide maximum value.
LoRaWAN was a perfect fit for NYCC's needs, thanks to their familiarity with the technology and their nynet function, which provides LoRa coverage for use in public services and the private sector across North Yorkshire. NYCC gateways connect to our LoRa server, which processes data from sensors and sends it to our back-end platform for storage and manipulation.
Our IoT platform currently monitors outdoor air quality, refuse levels in on-street bins, and parking spot occupancy, providing NYCC with valuable insights that enable them to make informed decisions. Our senior developer took the low level cryptic data and crystallised it into something that was understandable and usable.
NYCC now has data in areas that were previously non-existent, which empowers them to make more informed decisions. It’s still very early days on this long-term journey but there is a clear path to operational improvements and efficiency, making tax payers money go further and improving the environment.
We are always looking at more use cases, with indoor CO2 monitoring, road traffic counting, and the use of sensors with built-in AI to detect kinetic faults in heavy machinery currently in development too.
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