one European ANPR provider claims their system can differentiate all EU plate jurisdictions. Accuracy and measurement of ANPR system performance A few ANPR software vendors publish accuracy results based on image benchmarks. These results may vary depending on which images the vendor has chosen to include in their test. In 2017, Sighthound reported a 93.6% accuracy on a private image benchmark. In 2017, OpenALPR reported accuracy rates for their commercial software in the range of 95-98% on a public image benchmark. April 2018 research from Brazil's Federal University of Paraná and Federal University of Minas Gerais obtained a recognition rate of 93.0% for OpenALPR and 89.8% for Sighthound, running both on the SSIG dataset; and a rate of 93.5% for a system of their own design based on the YOLO object detector, also using the SSIG dataset. Testing a "more realistic scenario" involving both plate and reader moving, the researchers obtained rates of less than 70% for the two commercial systems and 78.3% for their own. See also AI effect Applications of artificial intelligence Facial recognition system Road policing unit Vehicle location data Lists List of emerging technologies Outline of artificial intelligence References Surveillance Applications of computer vision Applications of artificial intelligence Authentication methods Electronic toll collection Traffic enforcement systems Road traffic management Optical character recognition Automatic identification and data capture Articles containing video clips Government by algorithm