Top Skills OpenCV Developers Should Have

How to Hire OpenCV Developers

One way to make your product stand out is to incorporate the latest technology in developing it. More and more companies are using computer vision to get ahead of the game. However, it’s not easy to integrate it unless you have the right people for the job. OpenCV developers are not easy to find and hiring them is just as challenging when you’re not familiar with the required skillset. Read on to learn about the top skills OpenCV developers should have and find out how you can hire one for your company!

OpenCV is a great tool for developing image processing and computer vision applications. It is open source and has a huge support community for learning and tutorials. It is fast, mature, and has C++, Python, Java and MATLAB interfaces and supports Windows, Linux, Android, and macOS. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform. It takes skilled OpenCV developers to create powerful OpenCV projects.

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OpenCV developers should possess enough required skills to be productive and deliver solid results. OpenCV may be difficult to use and may have memory leaks as its downside. Nevertheless, it is a good computer vision library to start with. Learning and mastering this toolkit will make you competent in the fast-paced image processing arena. And take note, we use this technology on a daily basis. Mobile applications and social media sites use this technology extensively to improve the user experience. Companies like Amazon, Google, and Apple, among others, are using computer vision technology in many of their products and services. Banking and financial institutions are beginning to use these technologies to boost their security features. Computer vision leverages the products and services of companies.

OpenCV Capabilities and Technologies:

  • Facial recognition and object identification
  • Iris recognition
  • Motion tracking
  • Human action classification
  • Building three-dimensional models of various objects
  • Stitching images together to create large, high-resolution images
  • Finding images similar to an input image
  • Removal of red-eye caused by the camera flash
  • Eye motion tracking
  • Scenery recognition
  • Overlaying surroundings with augmented reality using visual markers

As mentioned, OpenCV is not an easy field. One should have the right skills in order to perform OpenCV development properly.

These are the Following Skills OpenCV Developers should have:

Knowledge in Data Structures

A data structure is a collection of data values, relationships, and functions or operations that can be applied to the data. Many high-level programming languages have built-in support for most common data structures (arrays, linked lists, stacks, queues, trees, graphs, sets, hash tables). A solid understanding of data structures will allow one to make informed decisions in mission-critical fields and to properly process, handle, manipulate, and display large result sets.

Basic Knowledge in Image Processing

Learn the basics of digital processing of images. It may include importing images using tools, analyzing and manipulating them, and producing the results of the altered images. Knowledge in basic image processing is a good foundation for digital image processing as it covers edge detection, color conversion, applying filters, and other relevant aspects.

Digital image processing allows the use of much more complex algorithms, and hence, can offer both more sophisticated performance of simple tasks, and the implementation of methods which would be impossible by analog means.

In particular, digital image processing is the only practical technology for:

  • Classification
  • Feature extraction
  • Multi-scale signal analysis
  • Pattern recognition
  • Projection

Some techniques which are used in digital image processing include:

  • Anisotropic diffusion
  • Hidden Markov models
  • Image editing
  • Image restoration
  • Independent component analysis
  • Linear filtering
  • Neural networks
  • Partial differential equations
  • Pixelation
  • Principal components analysis
  • Self-organizing maps
  • Wavelets

Resourcefulness and Continued Learning

Stay up to date with any new technology and coming changes. This also means being aware of new development tools, theory, and algorithms. Online tutorials and courses are also helpful when continuing to learn about computer vision and image processing. Online courses and tutorials are very cheap (or even free) nowadays. One can enroll in a computer vision tutorial and then start building applications right away. The online community can be of great help when starting out. There are tons of people who can answer your questions on online question and answer platforms like Stack Overflow.

Learn other Programming Languages

Business requirements may change along with their systems and technology. Learning to implement the business requirements using another technology stack helps a lot. It also helps the developer to implement solutions on any platform that the business requires such as web and mobile applications that are used in different business areas and systems. It’s worthwhile for a developer to build software on multiple languages for multiple devices. Programming languages have their own pros and cons, and knowing which language to use is a must for a robust application.

Top 5 best programming language to learn:

  • Java
    • General purpose programming language that is intended to let developers write once and run anywhere.
  • Python
    • Interpreted, high level and general purpose programming language that emphasizes code readability.
  • JavaScript
    • Characterized as dynamic, weakly typed, prototype-based and multi-paradigm. One of the core technologies of the World Wide Web.
  • C/C++
    • Simple and straightforward programming language. More equipped to develop sophisticated applications and systems.
  • C#
    • Designed by Microsoft to run on their .NET platform.

Electronics

Listen to Episode 108 of the Startup Hustle Podcast – Computer Vision

Since OpenCV is typically used with hardware devices such as cameras and microcontroller units, the developer must have at least some knowledge on how to operate and connect hardware components. It includes knowledge in circuitry and design and electrical terms. Products such as the Arduino or Raspberry Pi have evolved and become very accessible to anyone who is interested in electronics, IoT, or creating new devices to solve day-to-day problems. Having the skill and knowledge in integrating systems is an impressive quality for a developer to have under his or her belt.

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Hiring OpenCV Developers

If you’re looking for software developers who are experienced in OpenCV, but are having difficulty in finding people with competitive skills, we can help you with that. Full Scale – one of the leading offshore service providers in Cebu City, Philippines, has a pool of talented individuals dedicated to producing quality output through our range of development services. Hiring the right team may seem like a daunting task, but at Full Scale, it’s easy!

Our Guided Development process allows you to have an overview and control over the development process of your OpenCV project. At Full Scale, we will take care of recruiting, assessing, then employing the top developers that the Philippines can offer. After that, our team becomes a part of your team. Our extensive hiring process involves skills assessments, multiple screenings, and certification processes. In addition to finding those with top, unique or hard-to-find skills, we also seek professionals who are interested in working with us long term.

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