Build a parking lot system that automatically reads vehicle license plates from camera feeds.
Add license plate recognition to a security or surveillance application using Python or Node.js bindings.
Process a batch of vehicle images and extract plate numbers as JSON for storage in a database.
Integrate plate reading into a mobile app via the community Android or iOS ports.
| openalpr/openalpr | hillya51/lunatranslator | alexays/waybar | |
|---|---|---|---|
| Stars | 11,400 | 11,480 | 11,272 |
| Language | C++ | C++ | C++ |
| Setup difficulty | moderate | moderate | moderate |
| Complexity | 3/5 | 3/5 | 3/5 |
| Audience | developer | general | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires Tesseract OCR and OpenCV when building from source, pre-compiled binaries available on Windows.
OpenALPR is an open source library that reads license plate numbers from images and video. You point it at a photo of a car, and it returns the text on the plate along with a confidence score. It can process a single image, a video file, or a live video stream. The tool is available as a command-line program called alpr. Running it on an image takes a single command, and it outputs a ranked list of the most likely plate readings. For example, given an image of a plate that reads PE3R2X, it might return ten candidates in order of confidence, with the correct reading at the top. There is also a JSON output mode for integrating results into other software, and a clock mode that reports how long processing took. The library is written in C++ and has bindings for Python, Node.js, Java, C#, and Go, so developers can call it from many programming languages. It supports plate formats for both the US and Europe, and optionally lets you specify a regional pattern (such as a US state) to improve accuracy by filtering results against known plate formats. Community-maintained ports also exist for Android and iOS. On Linux, installation is a single apt-get command. On Windows, pre-compiled binaries are available. Building from source requires two additional libraries: Tesseract OCR (for character recognition) and OpenCV (for image processing). Docker is also supported with a one-liner build-and-run workflow. The license is Affero GPLv3, which requires that derivative works also be open source. A commercial license is available for businesses that need different terms.
An open source library and command-line tool that reads license plate numbers from photos or video, returning the plate text and a confidence score, with bindings for six programming languages.
Mainly C++. The stack also includes C++, Python, Node.js.
AGPL-3.0, open source, but any derivative software must also be released as open source. A commercial license is available separately for businesses needing different terms.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.