Today's rapidly increasing traffic brings more challenges to Parking operators: more data is needed to be processed, more clients need to be serviced, and more infractions need to be detected, and it has to be done faster than ever before.
License Plate Inventory and Parking Enforcement are two key methods in Parking management that have been gaining attention since they represent a lot of potential regarding these challenges.
License Plate Inventory (LPI) consists of a digital inventory of license plate numbers, enabling operators to efficiently monitor, retrieve, group search and filter the LPN data or integrate it with other vehicle control systems. LPI is designed to handle a wide range of tasks, from identifying stolen vehicles and managing parking lots to enhancing security and improving traffic management.
Parking enforcement refers to the set of activities and measures implemented by authorities or designated personnel to regulate and ensure compliance with (in/off-street) parking regulations.
These two methods require that on-foot officers supervise the area, checking vehicle by vehicle; in most of the cases, these operations are performed manually and in all cases, offline; officers have to deliver a report or download their data at the central office. Just by looking at them is enough to understand that these methods need a serious optimization to make them useful tools facing modern challenges.
As usual, it sounds easier than it is: "Providing a moving vehicle with LPR capabilities". Street parking conditions are dynamic and somehow chaotic, that is why LPR accuracy and confidence ratios are key issues when talking about mobile LPR.
To be a real game-changer, a mobile LPR solution has to overcome these challenges:
Back in 2015, Survision partnered with Segway for a public parking enforcement project at Saint Laurent du Var, France, where Picopak (the world’s smallest LPR camera) was mounted on a Segway and paired with an EXYZT mobile parking enforcement app, creating the first mobile LPR solution which managed to get fascinating results:
In 2022, at Las Vegas, Harry Reid International Airport, each evening, a comprehensive license plate inventory was conducted for security purposes and to monitor the overnight locations of vehicles. A team of 15 officers utilized handheld devices to manually record the license plate information.
Upon the integration of our fixed License Plate Recognition (LPR) cameras, they sought the need of a new inventory solution. Thanks to our previous experience and counting with our favorite small camera, we at Survision presented a simplified approach that only required the camera, cloud application, power infrastructure, and data connectivity.
This efficient and cost-effective solution enabled the reassignment of staff to more crucial responsibilities, thereby enhancing their operational efficiency and providing a more comfortable experience for inventory officers.
After several difficulties, the previous LPR system was diagnosed as unreliable, so they disabled it. The airport had to return to traditional access systems and manual LPI procedures. Still, the need for a faster and more reliable method was an urgent matter due to the increasing traffic and the related costs.
Designa chose Survision for the conditioning of two mobile LPR vehicles with 4 Picopak LPR Cameras, used in conjunction with fixed cameras and LPI Monitor cloud-based solution to perform License Plate Inventory procedures. Nowadays, the new LPI system keeps an up-to-date inventory of all vehicles in the airport, recording and calculating the time of entry, exit and status (in or out).
As you can see, many of these challenges and the following success resides on the LPR Camera; it is not luck but a great deal of effort and research that gave us Picopak, a fast, serverless and triggerless LPR camera, versatile enough to successfully read plates on the go, at high accuracy, which makes it perfect for LPI and parking enforcement operations.
We are now taking our deep experience-based knowledge of the LPR field to the next level: from LPR hardware providers to LPR solutions developers, with our two new products, specific for every field:
These new solutions are hardware/software bundles that rely on Picopak, combined with a specific, ad-hoc, self-developed app for each case, working on a tablet (also provided).
The set is lightweight and standalone, so it can be mounted in any vehicle (from bikes to golf carts) and moved anytime to another vehicle.
One of the main features of these solutions is 4G connectivity, which makes it capable of transmitting its already LPR-processed digital data to the cloud in real-time, making any other piece of hardware unnecessary, redefining the words “versatile” and “adaptable.”
Survision LPI to GO and Platenforce are what we think “the state of the art of Mobile LPR should be”: Light, adaptable, precise, fast ... and connected!
High performance LPR camera for the most challenging sites such as very short distances and open angles
More affordable, smaller yet very fast and precise LPR camera, ideal for barrier or totem embedding
The world's smallest LPR camera for security and on-street parking control
Ideal for ITS and Tolling, this powerful camera works at large distances and very high speeds
Compact and affordable LPR camera with 4G connection, designed for Smart city
Despite the country or region, even Vanity Plates!
Lights, protection and connection are integrated into the LPR Cameras
LPR is performed in the LPR cameras firmware
LPR can be triggered by external device or by the license plate itself
Neural networks are used to learn from every plate read and increase performance over time
Up to 155 mph (250 km/h)
The shortest distance (from 5ft!) at the highest accurate reading speed (20ms)
You do not need more than 1 Survision LPR camera to get LPR working
Software tools for system integration or app building
Satisfied or refunded!
We ensure a certain range of LPR reading rates that will satisfy your needs, burn it in a contract and then make it true; otherwise we will refund 100% of your payment.