SATPA license plate recognition SDK is designed to control vehicles traffic and provide security that uses advanced image processing and artificial intelligence techniques to recognize license plates of moving cars with high accuracy in real time.
Recognition Accuracy
Recognition Time
Plate Format Supported
Programming Language
What can be done to control and monitor the traffic of moving cars? Is the only possible solution to manually record the license plate number and the time of entry and exit? If there is a lot of traffic, is it still possible to record the vehicle information manually? What is the solution to reduce human error?
Traffic control is very important in today's world. With the increasing use of cars and other vehicles, today's world needs more than ever a solution to monitor the traffic of cars and people. In addition to reliable accuracy, this solution needs constant stability in order to be able to monitor the traffic of cars 24/7.
SATPA license plate recognition SDK is designed to identify and recognize moving vehicle license plates, and by using image processing and artificial intelligence techniques, it can monitor vehicle traffic at high speed with minimal errors.
Updated frequently, SATPA is one of the most optimal SDKs for license plate recognition and can record license plates with high accuracy in various weather conditions. SATPA license plate recognition SDK can be used in various operating systems and programming languages and provides the best performance in programming using an experienced development and support team.
شرکت شهاب با تمرکز بر ارائه راهکارهای نوین در زمینه پردازش تصویر و کنترل تردد، به عنوان یکی از پیشگامان این صنعت شناخته می شود. این شرکت با تولید محصولات پیشرفته ای مانند نرم افزار پلاک خوان و دوربین های پلاک خوان ، سامانه های تشخیص چهره، و سیستم های مدیریت تردد هوشمند، توانسته است استانداردهای جدیدی در امنیت و مدیریت ارائه کند. شهاب با اتکا بر تخصص و فناوری های بومی، به سازمان ها و مراکز مختلف کمک می کند تا کنترل دقیق تری بر امنیت و نظارت خود داشته باشند.