{{short description|Automatic number-plate recognition library}} {{Infobox software | name = OpenALPR | logo = OpenALPR logo.png | logo alt = | logo caption = | screenshot = | screenshot alt = | caption = | collapsible = | author =Matthew Hill<ref name=ars /> | developer = OpenALPR Technology, Inc.<ref name=opengit>{{cite web|url=https://github.com/openalpr/openalpr/blob/master/src/statedetection/state_detector.cpp|first=Matthew|last=Hill|publisher=[[GitHub]]|title=state_detector.cpp|access-date=June 21, 2018}}</ref> | released = {{Start date and age|2014|05|02|df=yes}}<ref name=opengit /> | ver layout = simple | latest release version = 2.5.103 | latest release date = {{Start date and age|2018|03|05}} | repo = {{URL|https://github.com/openalpr/openalpr}} | programming language = [[C (programming language)|C]], [[C++]], [[Python (programming language)|Python]], [[Java (programming language)|Java]], and [[C Sharp (programming language)|C#]] | operating system = Linux, Windows<ref name=extreme /> | platform = [[IA-32]] (i386), [[x86-64]] or [[ARM architecture|ARM]] | size = 276 MB | language = English | language count = 1 | genre = [[Automatic number-plate recognition]] | license = Proprietary and [[Affero General Public License|AGPL]] | website = {{URL|http://www.openalpr.com}} }}
'''OpenALPR''' is an [[automatic number-plate recognition]] [[Library (computing)|library]] written in [[C++]]. The software is distributed in both a commercial and [[Open-source software|open source]] version.
== History== OpenALPR was originally developed by a two-man team led by Matt Hill.<ref name=ars>{{cite web|url=https://arstechnica.com/information-technology/2015/12/new-open-source-license-plate-reader-software-lets-you-make-your-own-hot-list/|title=New software watches for license plates, turning you into Little Brother|first=Cyrus|last=Farivar|date=December 5, 2015|website=[[Ars Technica]]|access-date=June 11, 2018}}</ref> The open source software became available as a free download at the end of 2015.<ref>{{cite web|url=https://www.autoevolution.com/news/new-software-allows-you-to-scan-license-plates-just-like-a-cop-102736.html|title=New Software Allows You to Scan License Plates Just like a Cop|date=December 9, 2015|website=autoevolution.com|access-date=June 11, 2018}}</ref> In March 2016, OpenALPR launched a paid Cloud API service<ref>{{cite web|url=https://security.world/topic/openalpr-technology-releases-cloud-service-for-automatic-license-plate-recognition-and-vehicle-classification/|title=OpenALPR Technology Releases Cloud Service for Automatic License Plate Recognition and Vehicle Classification|date=March 7, 2016|website=security.world|access-date=June 23, 2018}}</ref> and in February 2017 introduced the OpenALPR agent for [[Axis Communications]] cameras.<ref>{{cite web|url=https://americansecuritytoday.com/openalpr-axis-offer-affordable-alpr-service-plans-see-video/|title=OpenALPR & Axis Offer Affordable ALPR Service Plans (See Video)|first=Tammy|last=Waitt|date=February 13, 2017|website=americansecuritytoday.com|access-date=June 23, 2018}}</ref>
In August 2017 an [[Australia]]n web developer Tait Brown became known by creating an alternative to an 86 million [[Australian dollar|AUD]] project of [[Victoria Police]] by using OpenALPR.<ref>{{cite web|url=https://medium.freecodecamp.org/how-i-replicated-an-86-million-project-in-57-lines-of-code-277031330ee9|title=How I replicated an $86 million project in 57 lines of code|first=Tait|last=Brown|date=August 28, 2017|publisher=[[freeCodeCamp]]|access-date=June 11, 2018}}</ref> In March 2018 [[ProgrammableWeb]] added OpenALPR to its list of Recognition APIs.<ref>{{cite web|url=https://www.programmableweb.com/news/daily-api-roundup-flexawards-amazon-gameon-blockbridge/brief/2018/03/31|title=Daily API RoundUp: FlexAwards, Amazon GameOn, Blockbridge|date=March 31, 2018|first=Joy|last=Culbertson|website=[[ProgrammableWeb]]|access-date=June 23, 2018|archive-date=June 23, 2018|archive-url=https://web.archive.org/web/20180623141535/https://www.programmableweb.com/news/daily-api-roundup-flexawards-amazon-gameon-blockbridge/brief/2018/03/31|url-status=dead}}</ref>
== Software==
OpenALPR is an [[automatic number-plate recognition]] [[Library (computing)|library]] written in [[C++]].<ref>{{cite book|chapter=Erase Parking Headaches with OpenCV and Raspberry Pi|title=Raspberry Pi 3 Home Automation Projects: Bringing your home to life using Raspberry Pi 3, Arduino, and ESP8266|last1=Bhadoria|first1=Shantanu|last2=Oliva Ramos|first2=Ruben|year=2017|publisher=Packt Publishing Ltd.|page=82|isbn=978-1-78328-387-3|chapter-url=https://books.google.com/books?id=KkBPDwAAQBAJ&pg=PA82|via=Google Books}}</ref> The software is distributed in both a commercial cloud based version<ref name=ars /> and [[Open-source software|open source]] version.<ref name=extreme>{{cite web|url=https://www.extremetech.com/electronics/232428-home-video-monitoring-for-the-do-it-yourselfer-an-overview|title=How to get started with DIY home surveillance systems|first=David|last=Cardinal|date=August 4, 2016|publisher=[[ExtremeTech]]|access-date=June 11, 2018}}</ref><ref name=iprogrammer>{{cite web|url=http://www.i-programmer.info/news/105-artificial-intelligence/9246-openalpr-an-open-source-licence-plate-reader.html|title=Openalpr - An Open Source Licence Plate Reader|last=James|first=Mike|website=i-programmer.info|date=December 18, 2015|access-date=June 23, 2018}}</ref> OpenALPR makes use of [[OpenCV]] and [[Tesseract (software)|Tesseract OCR]] libraries. It could be run as a command-line utility, standalone library, or background process. The software also integrates with [[video management system]]s (VMS) such as Milestone XProtect.<ref name=ipvm>{{cite web|url=https://ipvm.com/reports/company-profile-openalpr|title=SaaS LPR Startup OpenALPR Examined|last=Karas|first=Brian|date=March 22, 2016|website=ipvm.com|access-date=June 21, 2018}}{{subscription required}}</ref>
== References== {{reflist|2}}
==External links== * {{Official|http://www.openalpr.com}} * [https://github.com/openalpr/openalpr OpenALPR at GitHub]
[[Category:Automatic number plate recognition]] [[Category:Automatic identification and data capture]] [[Category:2014 software]]