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IANPR RUS PRO

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IANPR RUS PRO Is a set of development tools for recognizing car numbers.

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IANPR RUS PRO Is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited. The interface with the library can be changed at the request of the customer. For IANPR RUS PRO A demo version is available, which is artificially slowed down and is not intended for commercial use.

IANPR RUS PRO FULL 1.5

IANPR SDK - a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited. OS: Windows, Linux
Delivery method: Electronic delivery
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Electronic version
Price per copy (from 1 and more) 62 500.00 rub.
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IANPR RUS PRO FULL 1.5
Description:
Electronic version
Price:
62 500 rub.
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Supply: To email. Delivery in electronic form is from 10 minutes with online payment. At other methods of payment - 1-2 working days after transfer of money resources.

IANPR RUS PRO Limited EXTENDED 1.5

IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited. OS: Windows
Delivery method: Electronic delivery
Product added to cart
Now you can checkout
Electronic version
Price per copy (from 1 and more) 18 750.00 rub.
Item added to cart
IANPR RUS PRO Limited EXTENDED 1.5
Description:
Electronic version
Price:
18,750 rub.
Continue shopping
Go to shopping cart
Supply: To email. Delivery in electronic form is from 10 minutes with online payment. At other methods of payment - 1-2 working days after transfer of money resources.

IANPR RUS PRO Limited 1.5

IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited. IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited. IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited.
IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited. IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited.
IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited. IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited.
IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited.
IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited. IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited.
IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited.
IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited. IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited. IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited.
IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited.
IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited.
IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited.
IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited.
IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited.
IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited. IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited.
IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited.
IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited.
IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited. IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited.
IANPR SDK is a set of development tools for recognizing car numbers. The main goal is to provide automated recognition of car numbers based on the OpenCV computer vision library. Features of the library include image processing in the OpenCV format and the output of the recognition result: car numbers that are in the frame and their coordinates. The number of rooms is unlimited.