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October 6, 2017 - Olena

How to Hire Developers Skilled at OpenCV for Java Project

As technology continues to progress, the world of possibilities also keeps on expanding. Whereas the tasks of computers used to be confined to simple calculations and instructions, they are now becoming more and more complex and human-like. Machines can now perform tasks that formerly required human cognition, and sometimes they’re even more effective at doing so. Computers can now see and perceive their surroundings, and they also have the ability to learn from external information. The fields of computer vision and machine learning are taking off, and computers have never been more powerful.

One tool that makes artificial intelligence more accessible to many software developers is OpenCV. You may read more about the technology and its developers from our blog. In this article, we explore the OpenCV library further and take a look at why it works well with another technology: Java.

hire developers who use face recognition biometric technology

OpenCV: A Closer Look

OpenCV is a library that aids in performing computer vision and machine learning tasks. It contains over 2,500 algorithms for computer vision and machine learning. Written natively in C and C++, the library works well in these languages but also supports many other programming languages. For instance, it provides bindings for Java, Python, and MATLAB, and it has wrappers for C#, Ruby, Haskell, and Perl. Moreover, it supports various operating systems such as Windows, MacOS, Linux, Android, and iOS.

OpenCV is now in its third version, OpenCV 3, the latest release as of writing being OpenCV 3.3.0. Let’s take a look at how an OpenCV face detection C++ code would start. Below is a sample OpenCV C++ code with function normalize_image to process and normalize an input image, the first step in any facial recognition application:


static Mat normalize_image(InputArray input_image) {
    Mat input_mat = input_image.getMat();
    Mat normalized_img;
    switch(input_mat.channels()) {
    case 1:
        cv::normalize(input_image, normalized_img, 0, 255, NORM_MINMAX, CV_8UC1);
    case 3:
        cv::normalize(input_image, normalized_img, 0, 255, NORM_MINMAX, CV_8UC3);
    return normalized_img;


You may see the complete sample code from the official OpenCV documentation.

Java: A Closer Look

Java is arguably one of the most popular programming languages in the world. It was first released in 1991 by a group of developers from Sun Microsystems, now under Oracle Corporation. Mainly an object-oriented programming language, it showcased a “Write Once, Run Anywhere” philosophy, a goal that was considerably ahead of its time and is still being pursued by many programming languages and technologies today.

opencv java

Java’s syntax is largely influenced by C++. However, the former introduces several improvements over the latter and solves many of the serious flaws that plagued the latter. For instance, Java features an automatic memory management system that automatically performs object allocation/deallocation and garbage collection, so that the developer doesn’t need to worry about these tasks. This eliminates what had been common sources of error for many C++ programs.

Moreover, Java is much simpler and more consistent than C++. Whereas the structure of C++ is a combination of different paradigms that can easily confuse developers, Java’s architecture is consistently object-oriented. Furthermore, Java eliminated confusing low-level functionalities present in C++ such as pointers that were prone to misuse and errors in usage. These things make Java far easier to learn than C++, so unless you’re hard set with C++, implementing OpenCV 3.0 computer vision with Java is a good option.

With all these advantages, developers should therefore not be confined to C++ when using the OpenCV library, and luckily, OpenCV has bindings for Java. Here are some examples of actual OpenCV projects written in Java:

opencv 3.0 computer vision with java

  • Face Detection – An application that utilizes face recognition biometric technology from web camera video footage.
  • OpenCV Stitching – An application that stitches multiple images into one high-resolution panoramic image
  • Tennis Ball Recognizer – An application that recognizes tennis balls from a video and tracks their motion
  • OpenCV for Android – A project to help jumpstart the use of OpenCV in Android applications
  • Image Segmentation – An application to perform image segmentation, including edge detection, of different objects in images.

Salary Comparison

When hiring developers, one of the first points to consider is the cost. Different countries offer vastly different costs for developers, so picking the right country to hire from can lead to huge savings. Let’s compare the estimated cost of hiring developers from different countries. In this comparison, we use PayScale to give us the self-reported average gross annual salaries of Java developers in different countries.

According to PayScale, the average gross annual salaries of Java developers are as follows:

opencv java developers salaryComparison of Average Gross Annual Salary of Java Developers in Different Countries (Source: PayScale)

Clearly, Ukraine emerges as having the lowest cost of hiring developers among the five countries we examined. Compared to hiring from the United States, for instance, hiring from Ukraine can lead to over 68% more savings! Needless to say, hiring OpenCV Java developers from Ukraine would be your most practical option.

Hire OpenCV for Java Developers Now

Although natively written in C++, OpenCV also works well with Java because Java offers many advantages over C++ and thus carries these advantages with it to any Java OpenCV project. We’ve looked at the cost of hiring Java developers in different countries and seen that Ukraine is the most economical choice. If you’re looking to hire an OpenCV for Java developer, you’ve come to the right place! We are Mobilunity, a Ukrainian provider of dedicated developers, and we offer Europe’s brightest developers for incredibly affordable rates.

Get in touch with us and let’s begin your OpenCV Java project now!

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