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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

Java OpenCV Developers: A Closer Look on 2 Technologies

OpenCV

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);
        break;
    case 3:
        cv::normalize(input_image, normalized_img, 0, 255, NORM_MINMAX, CV_8UC3);
        break;
    default:
        input_mat.copyTo(normalized_img);
        break;
    }
    return normalized_img;
}

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

Java

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.

How to Hire an Open CV Java Engineer, Programmer, or Coder

Whether you’re looking for an Open CV Java engineer, programmer, or coder there’re always a few options you can choose to get the most qualified worker or a dedicated team for your project. Which one to choose depends on your final goals, availability and financial capacity.

Key methods to hire Java OpenCV engineer or coder:

hire Open CV Java engineer, programmer, or coder for hire in Ukraine

direct hiring of Java OpenCV engineer or coderLocal hiring is hiring is time-consuming and expensive, actually, the most expensive among three hiring methods listed above.

For example, if you hire an OpenCV developer locally, let’s assume in Germany with an annual salary of $55,900, be prepared to pay medical benefits, add office rent and some other expenditures, and eventually your Open CV Java engineer, programmer, or coder might cost you $5,000 plus. Moreover, the hiring process might take you quite a long time, even if your HR manager posts job openings quickly. Analyzing CVs, interviewing candidates will take at least 7 days, and there will be no guarantees that you will find an Open CV Java engineer, programmer, or coder with a required skillset.

outsourcing OpenCV Java face recognition programmer Outsourcing is a business-model that is used to improve company’s efficiency or reduce expenditures. It is about shifting projects and tasks to an external company for a certain or undefined period of time. For example, a US-based firm is seeking for an expert to work on creation of an app with face recognition features and can outsource this task to an Open CV projects engineer, programmer, or coder for 6 months choosing the suitable outsourcing company located in Ukraine.

dedicated remote Java face detection coder Hiring a dedicated development team or developer(s) is a popular practice in the sphere of information technology. Companies hire remote development teams to work on specific tasks or projects either long- or short-term. Whether you have a small office or launch a new project that has a limited budget, you can easily consider hiring a remote team of Open CV Java engineers, programmers, or coders in the countries where such experts get lower rates.

For example, you can hire external team of devs to work on a new face recognition app for a security software project. It will be cheaper, since you don’t have to pay taxes, provide facilities, and you get access to a wider developer talent pool than if you hire them locally. Additionally, you can save money if you extend your development team with a Java OpenCV engineer or coder from Ukraine, where salary rates are lower, but the quality is proven to be one of the best in the world. No matter what project you’re about to launch, you always have a choice how to hire skilled workforce for it.

3 easy steps to hire remote OpenCV Java face recognition developers

What Do Java Open CV Projects Developers Do?

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 Open CV projects, programmers have 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.

Demand for OpenCV Java Face Recognition Programmers

Facial recognition is what we can find on new iPhone X as Face ID, Facebook uses it to tag people on photos, Google Cloud Vision API detects faces in an image, and this function is very crucial for security issues. First appeared in 1960s, facial recognition technology was further improved in 1990s in the NIST (National Institute of Standards and Technology).

Java is the most popular programming language for facial detection. Yet, there are many other coding languages used for building facial recognition apps and features:

Python, Matlab, C/C#/C++. What is more, OpenCV platform is widely used for implementation of facial recognition feature into apps.

Today, the demand for Java facial recognition developers is getting higher, however, not every country can boast a wide developer pool. We’ve analyzed demand for Java face detection engineer or coder for Java projects in various countries of the world and have found out the following stats:

PortalVacancies
Indeed.com76
LinkedIn11
Glassdoor392

The USA. Demand for OpenCV motion detection Java developers

PortalVacancies
Glassdoor9
Indeed11
LinkedIn3

Germany. Demand for an OpenCV Java face recognition programmer

PortalVacancies
Djinni6
Dou13

Ukraine. Demand for a facial recognition Java developer (OpenCV)

The chart clearly demonstrates the demand and supply for developers who have necessary skills for work on face recognition projects. In the USA, the demand for OpenCV motion detection Java developers is the highest of all the countries included into the research. The demand for Ukrainian developers with OpenCV skills is the lowest as the companies do not tend to implement the up-to-date features to their apps and websites. Still, there are a lot of Java, Python, Matlab developers who work on foreign projects as the supply is much bigger for such developers than demand in Ukraine.

hire developers who use face recognition biometric technology

Salary Comparison of Open CV Java Developers

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

Machine Learning (OpenCV) Developer Salary in the USA and Europe

As it was already stated above, before hiring OpenCV developers, conduct a short research on an average monthly, annual, or even hourly rate of an OpenCV developer worldwide to understand what it will cost you to develop an app, a website, or a project with face or motion recognition features. Still, except an OpenCV developer salary in the US, Germany, UK and Ukraine we have also researched rates of software engineers skilled in machine learning (as OpenCV is very often applied in this industry) in order to let you compare them with the rates of Java experts.

OpenCV developer salary in Ukraine, the USA, the UK, Germany, Israel, Switzerland, Belgium

Salaries of developers skilled in machine learning (Source: PayScale)

Thus, according to PayScale an OpenCV programmer salary in the USA is approximately $103,000. Average annual salary of OpenCV experts in UK is $49,300, while German developers get $70,400 annually. Swiss experts skilled in machine learning get $90,000 yearly and the salary of Open CV programmers in Israel is almost the same $88,000/year. Belgium is a bit cheaper than Switzerland and Israel as here software developers skilled in machine learning get $83,000/year. Ukraine is one of the countries where developers have much lower rates than in most of European countries. OpenCV developers is not an exception. According to a Ukrainian job portal for IT experts DOU.ua, average OpenCV developer salary in Ukraine is $1,500-1,700/month and only senior developers can get $3,000-5,000/month.

Based on the information provided above, we assume that the highest salary rates for OpenCV developers are in the United States, and the lowest OpenCV developer rate is in Ukraine. So we advise you to search for the OpenCV experts in the country with a skilled talent pool, low demand and compatible salaries.

Why you should hire OpenCV Java face recognition engineer in Ukraine

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, due to them, is chosen by any Java Open CV projects engineer or coder. We’ve looked at the cost of hiring a Java OpenCV coder 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.

resume sample of opencv java face recognition programmer

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