  Detection and recognition of a licence plate is important when automating
weighbridge services. While many large databases are available for Latin and
Chinese alphanumeric license plates, data for Indian License Plates is
inadequate. In particular, databases of Indian commercial truck license plates
are inadequate, despite the fact that commercial vehicle license plate
recognition plays a profound role in terms of logistics management and
weighbridge automation. Moreover, models to recognise license plates are not
effectively able to generalise to such data due to its challenging nature, and
due to the abundant frequency of handwritten license plates, leading to the
usage of diverse font styles. Thus, a database and effective models to
recognise and detect such license plates are crucial. This paper provides a
database on commercial truck license plates, and using state-of-the-art models
in real-time object Detection: You Only Look Once Version 7, and SceneText
Recognition: Permuted Autoregressive Sequence Models, our method outperforms
the other cited references where the maximum accuracy obtained was less than
90%, while we have achieved 95.82% accuracy in our algorithm implementation on
the presented challenging license plate dataset. Index Terms- Automatic License
Plate Recognition, character recognition, license plate detection, vision
transformer.
