Despite technological advancements, ANPR systems may still face challenges in accurately detecting certain license plates due to factors like damage or shadows. Enhancements in hardware, software, and configurations can improve precision, but operators must discern between high-confidence and uncertain recognitions for optimal ANPR viability.
How can a license plate recognition system achieve autonomous accuracy?
TagMaster’s confidence factor, provided with each event/read, empowers operators to make informed decisions. A high confidence factor triggers automatic processing, while a low confidence factor suggests manual intervention may be preferable. The algorithm considers various factors to enhance accuracy in determining the confidence level of an event.
Is a high confidence synonymous with a correct read? Not necessarily. High confidence signifies a strong likelihood of accurate identification, but proper use of parameters from an event/reading reduces false positives.
TagMaster’s intelligent ANPR system employs the confidence factor as a valuable tool for operators, aiding in more informed decisions when approving or discarding events and potentially leading to significant operational cost reductions.
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TagMaster UK Sales & Marketing
TagMaster UK Sales & Marketing