In the ever-evolving landscape of parking technology, ticketless solutions are gaining increasingly more ground and reshaping the way operators and drivers interact with access systems. At HUB Parking Technology, we’ve taken a significant leap forward by developing a communication protocol that integrates next-generation capabilities into our system, enhancing data processing and empowering facilities with higher reliability, smarter fraud detection, and streamlined operations.
The main pillar of this advancement is License Plate Recognition (LPR) technology. Once considered a complementary feature, LPR is now an essential component of any modern parking system seeking accuracy, fast transit times, and customer convenience. With today’s high-definition cameras and refined recognition algorithms, our ticketless systems leverage LPR to significantly reduce error rates and ensure a seamless entry and exit.
What truly sets this evolution apart is the way vehicle identification is now handled. Traditionally, matching algorithms relied exclusively on number plate data – verifying a number of matching characters. This method enhances an already reliable solution improving performance in more complex scenarios. These additional features strengthen the system’s ability to validate vehicle identity even in complex scenarios, such as partial or similar plate readings.
Enter HUB’s New Protocol
Our new protocol enables multi-dimensional vehicle recognition by incorporating not just the basic number plate capture, but also make, model, color, and vehicle class – as the most modern LPR cameras allow. This is made possible because the new protocol allows HUB JMS management system to fully process the enhanced data captured by LPR camera models that support advanced recognition features (those also known as MMCR: Make, Model, and Colour Recognition). The parking devices’ business logic interacts with overarching JMS, then using this information to validate transactions more thoroughly and intelligently.
This evolution opens valuable operational scenarios. For example, the ability to identify vehicle class (such as car, SUV, or camper) can support differentiated tariff models based on size or type. Dynamic tariff schemes are an advanced marketing tool for owners and operators who seek to maximise the occupancy and rotation of their parking assets. It also enhances resilience in case of conflicting data – such as partial plate readings or duplicate plates – by relying on a broader and more detailed vehicle profile.
Beyond operational efficiency, the ability to associate each vehicle with a detailed profile – including number plate, make, model, and colour – also strengthens overall site security. This enriched data supports more effective monitoring and traceability, helping to create a safer environment for all individuals accessing the parking facility. In accordance with laws governing the management and protection of data, and all applicable privacy regulations in the countries where our solutions are implemented, ensuring secure handling and anonymisation to safeguard individuals’ privacy.
This shift toward distributed intelligence means fewer points of failure, faster processing times, and smarter coordination between components like LPR cameras and barrier gates. In practice, this translates into shorter wait times, higher accuracy in number plate matching, and a frictionless experience for end users.
As we continue to drive innovation in parking automation, our commitment remains firm: to deliver robust, future-ready solutions that evolve with the needs of both operators and customers. The combination of advanced technology and our new protocol ensures that our systems are aligned with the latest market expectations and prepared for what’s next.
