Nowadays we live in a globalized world where parking operators demand license plate recognition technologies (ALPR) with several requirements, such as a high-reliability rate, easy installation, and maintenance, but also the flexibility to support different countries and quickly adapt to any type of integration.
Innova Systems Group's technology for license plate recognition (SIRAM OCR5) allows us to respond quickly to all kind of requirements from parking automation system manufacturers (PARCS or PMS), and the reason relies on a deep learning OCR5 technology.
Our ALPR solution (SIRAM OCR5) allows a fast learning process when adding new unrecognized countries. This means that the license plate recognition engine software is responsible for license plate identification, help to learn and support new license plate types from unrecognized countries in record time. Currently, thanks to deep learning, our Siram OCR5 ALPR solution enables recognition in more than 100 countries with a high success rate.
There is no doubt that deep learning technology has demonstrated a great stability and hardiness in the ALPR field in comparison with other, older machine learning technologies. Especially when talking about adding new types of license plates with no need for software changes, OCR5 is versatile and a great deep learning ALPR apprentice. The ability of this license plate recognition software to learn in real-time, just like a human being does, allows us to recognize patterns and generate knowledge optimizing processes, reducing errors and incorporating new data rules.
For large parking operators and manufacturers of automation systems (PARCS or PMS) with international management, one of the main demands is to find a versatile and effective license plate recognition solution when facing the incorporation of new number plate-based functionalities (#Ticketless, #PaybyPlate, #DynamicExit, #PaybyPlate). This ALPR solution must guarantee a high precision rate when dealing with complicated situations and accesses, as well as a high response speed in the incorporation of new languages, countries, formats, and types of vehicle license plates.
Regarding SIRAM OCR5, the speed of adaptation is assured by being a technology based on deep learning. With our ALPR solution it is possible to minimize learning periods due to the high automation. The first OCR5 versions offered the chance to incorporate the identification of license plates from 25 countries. This process was achieved within 1.5 months, which is a much faster process than using older machine learning or computer vision technologies, in which the training of a new country took between one and two months.
But the most remarkable point has been SIRAM OCR5's learning speed that allows the incorporation and recognition of a second budge of 50 new countries since this process has been carried out in less than two weeks.
Nowadays, thanks to Deep learning, our ALPR OCR5 technological solution allows us to recognize vehicle license plates from more than 100 countries with a high accuracy rate, which in many of them is higher than 99%.
AMERICA: 22 | EUROPE: 49 | AFRICA: 15 | ASIA: 18 | OCEANIA: 3
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About Innova Systems Group
Innova's mission is to provide solutions for access control and for the management of traffic based on innovative technologies such as the recognition of license plates. It is renowned due to its customer service quality, facilitating the personal and professional growth of its employees, encouraging reconciliation measures, a good work environment, equal opportunities, and generating solid and sustainable benefits. All of this, searching the common good of society through a policy of corporate social responsibility which helps and generates opportunities for the most disadvantaged, and taking care of the environment.