In recent years, scientists and engineers have been working to give computers and machines the ability to think and act like humans. Yesterday’s fiction has become today’s reality thanks to CV engineers. As they are training computers on how to interpret and understand the visual world. In this article, we will take a closer look at a computer vision engineer’s work and learn about this profession’s challenges.
Computer Vision Engineering
Let’s start by explaining what Computer Vision Engineering is. So, Computer Vision is one of the fields of AI focused on recognizing the content of images. This process enables a machine to generate an understanding of visual information. If AI enables computers to think, computer vision enables them to see, observe and understand. Depending on the algorithms, a CV may more or less effectively distinguish those features of the content to which it is targeted. So Computer Vision is not only about the ability to see images but also about perception – the ability of people to understand what they see.
What does the computer vision engineer do?
Generally, Computer Vision engineers develop complex machine algorithms for understanding, analyzing, and extracting information from large visual datasets. They are primarily responsible for:
- Development and automation of computer vision models
- Innovating new products and functions
- Building prototypes and testing new technologies
- Creating libraries and vision frameworks
- Learning about new developments in computer vision through reading research papers
Computer vision engineer skills
As in any other profession, also in the case of a computer vision engineer, there is a set of skills that are needed to get a job in this position. Here is a list of major computer vision engineer skills:
- Have education in the field of engineering, computer vision, or mathematics
- Have the ability to develop ML Models and Deep Learning architectures
- Be able to develop image analysis algorithms
- Be well versed in languages and libraries (OpenCV, PyTorch, TensorFlow, Python, C ++, etc.)
- Be able to design and create platforms for image processing and visualization
- Understand dataflow programming
Being a computer vision Engineer – challenges
NEED FOR CONTINUOUS EDUCATION
Computer vision engineers often need to attain a high level of education to do their job. The minimum is a bachelor’s degree in software, computer science, and electronics. However, a Master’s degree, which provides a specialized skill set, allows you to broaden your career options in this field. This also increases your chances of getting a job. While a master’s degree is a lot, you have to remember that technology is evolving. New trends appear from year to year. For this reason, the Computer Vision Engineer should obtain certificates and attend courses to keep up with the news. Again, having certificates increases the chances of employment.
SPENDING LONG HOURS WORKING AT A COMPUTER
The job of an engineer can be challenging as, most of the time, it is done in front of a computer. These people use the computer not only for research and design but also for testing software and hardware. It is also a typical desk job. Occasional breaks and short walks to refresh your mind can help restore concentration.
PERFORMING THE SAME DAILY TASKS
It is true that computer engineers, as a rule, work on different projects in different industries. However, daily tasks can become repetitive, making this job tedious and monotonous. For a person who likes a repetitive type of work, this will not be a problem, but it will be a challenge for a person who prefers to diversify. So, it is worth taking on demanding tasks and projects because by discovering new topics, you can overcome monotony.
WORKING ALONE
Another challenge that engineers have to deal with is working in isolation. Quite often, these people spend most of their day working alone. Of course, there are situations when engineers work or interact with clients. However, usually, it is a job in isolation, where the engineer sits in front of the computer all day long, creating new algorithms. And as with the previous point, some may like to work alone; for others, it will be somewhat of a challenge.
CHALLENGING PROJECTS
Some designs may be fun and easy to do, while others may be more difficult. To meet a challenging project’s expectations, you may need to work longer hours than usual or need to learn new skills quickly. Moreover, if computer engineers face strict deadlines, finishing projects on time can also be a challenge. That is why it is worth assessing your options well. It’s also important to view challenges as opportunities to learn and grow your professional skills.
Conclusion
With the development of AI and CV, the demand for engineering experts also grows. In this article, we tried to present the secrets and challenges of the CV engineer profession. To sum up, on the one hand, it is a fascinating job, but on the other, very demanding. If you are interested in CV, find out more about computer vision services.
