“ But what can we know about a particular vehicle ’ s move- ments ?"
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" For example , where does the vehicle drive the most ? What are the routes the vehicle uses the most ? These types of in- sights go beyond the original understanding of the vehicle ."
" It requires massive compu- tation about the vehicle ' s time and location data -- not an easy job given the terabytes of data involved , let alone provid- ing such information within seconds ."
" But this is exactly the direc- tion PlateSmart is taking : le- veraging AI and deep learning as well as modern technology to offer our customers these insights in order to make good decisions .”
" This kind of analysis is de- manded by many markets , such as law enforcement , parking management , and college campuses , to name a few .
Furthermore , each market finds its unique benefit from vehi- cle information via a tailored analytics to provide specific in- sights to meet specific market needs ."
“ For example , a transportation customer might only need a fraction of the data provided in a law enforcement application while also seeking additional information ,” Wang said .
“ Transportation companies like to be able to compare tractor and trailer plates to ensure that drivers are leaving lots with the right loads . They want to
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