License plate recognition sdk

For the command 2. Get your Token. For best performance, we recommend running the container from a Linux machine. With a recent processor gen Intel CPU with 4 cores , inference should take ms. Minimum requirements are:. You can also use a recent Nvidia GPU with a minimum compute capability of 6.

Follow the above instruction on Docker installation and Nvidia-docker. If you are behind a firewall you might also need to whitelist these IP addresses. Snapshot Stream ParkPow Blur. On this page. Main website of our company » arh. Multi-language website of our company » ARHungary.

About ARH Inc. Hardware products Software products. The function returns the character tips of the number plate, and the text of the plate in ASCII and Unicode string format. The application has to free this pointer. See later the detailed description of this structure. Supported countries Argentina Belarus Colombia Germany Kazakhstan Poland Russia Spain Ukraine Mode for simultaneous recognition of plate numbers from a 4 countries from the list; Additional mode with a universal recognizer for multi-country recognition of license plates with Latin characters.

Regions: all countries in the Europe. Number of plate numbers simultaneously in the frame unlimited Number of video streams number of video streams depends on the type of license Supported video signals individual images or live streams from an analog or digital camera Licensing system 1 license for each instance of the recognition object, USB dongle Types of licenses: Image basic license - recognition on individual frames received from 1 to 10 cameras, engine throughput of up to 10 frames per second, recognition enabled for only one country from the list of supported countries, recognition of one-line and two-line license plate numbers.

Net, Java and any other programming languages that support calling C functions. Core i5 4th generation desktop CPU or higher, 4 cores to perform recognition simultaneously on video streams. Core i7 4th generation desktop CPU or higher, 8 cores to perform recognition simultaneously on video streams. RAM: 4 Gb or greater. Examples of successfully recognized vehicle number plates. Key advantages Geography. Broad ability to recognize plate numbers from various countries.