OpenCV is basically a library of programming functions that you can use in real-time for common image processing. It’s an open source platform that’s equipped with hundreds of powerful features that make it perfect for versatile projects. From simple image processing to complex machine learning, OpenCV is optimized for performance. And if you’re looking to hit your next project out of the proverbial ballpark, we’re here to help.
OpenCV is basically a library of programming functions that you can use in real-time for common image processing. It’s an open source platform that’s equipped with hundreds of powerful features that make it perfect for versatile projects. From simple image processing to complex machine learning, OpenCV is optimized for performance. And if you’re looking to hit your next project out of the proverbial ballpark, we’re here to help.
OpenCV Development & Consulting
Are you looking for OpenCV development services? We have a team of skilled developers on standby, ready to assist you with your next project. Simply looking for some assistance or guidance on an existing project? Our OpenCV consultants can walk you through the process.
Why Choose OpenCV?
Speed
OpenCV is written in optimized C/C++. Sounds great, but what does that mean in practical terms? Well, one key benefit is speed. Machine language code is provided directly to the computer and is immediately executed. This results in faster image processing (as opposed to a platform like Matlab, which requires lots of interpretation prior to processing).
Efficiency
OpenCV is incredibly lean. In fact, it’s so efficient that it’s possible to get away with as little as 10mb RAM for a real-time application. RAM isn’t really a factor these days, but the fact that you can run it in such a restrictive environment says a lot.
Open source
The open source nature of OpenCV means there’s far more versatility than most image processing platforms. The result is a more robust and updated option that’s continually evolving over time.
Supportive community
As is the case with most open source solutions, OpenCV is backed by a very supportive community that’s always standing by to answer questions, offer solutions, and help.
The result is better quality solutions that are built to last.
The DEV.co OpenCV Development Process
Discover
Every OpenCV development process begins with a discovery phase where we dive in and get to know your business. These insights allow us to develop solutions that satisfy all core objectives and goals.
Plan
Once we unearth your goals, we begin developing a strategic plan that allows us to take you from where you are to where you want to be.
Develop
The development phase is where we get to work. Our team of OpenCV developers work together to create solutions that are both functional and aesthetically pleasing.
Test
No development process is complete without first testing and optimizing. We’ll iterate as many times as necessary to get the result you need
Our Development Process
01
Understanding
Background details
Vision & values
Target personas
Stakeholder insights
02
Research & Discovery
Customer research
Competitive analysis
Expert audits & insights
Current market positioning
03
Strategy
Story & personality
Market opportunities
Positioning & messaging
Creative brief development
04
Creative
Naming
Logo development
Graphics standards
Verify function
Messaging framework
05
Deliver & integrate
Brand book & styleguide
Print integration
Online & mobile
Further brand extension
Partner With Dev.co
– and the needs of their clients – in an efficient and cost-effective manner.
For further information on our OpenCV development services, please contact us today!
Interesting Facts About OpenCV
- OpenCV stands for Open Source Computer Vision Library.
- OpenCV is a library of programming functions that’s aimed at real-time computer vision. (Which is a field of study where computers seek to understand digital images.)
- OpenCV was originally developed by Intel.
- OpenCV is a cross-platform product and free under the open source BSD license.
- OpenCV was originally released in 2000.
- OpenCV is written in C++.
- The essential features of the OpenCV library include: open source, fast speed, easy to integrate, ease of coding, and fast prototyping.
- OpenCV enjoys a market share of 26.3% in the machine learning category.
- The most popular industries for OpenCV include computer software, higher education, and information technology.
- The United States represents the largest user base for OpenCV, with India, the United Kingdom, and Canada trailing.
