Today, many industries are leveraging Computer Vision and being benefited as it enables computers to capture, evaluate, comprehend, and process visually perceivable objects. The technology is making its way into education and becoming a mainstream subject of study in computer science and engineering.

Utilizing computer vision in education can assist in maximizing students' academic output by offering a customized learning experience based on their strengths and weaknesses. It can also be helpful to ease the assessment process and non-obstructiveness compared to traditional classroom education. Since the technology is able to interpret that captured digital images and react suitably with AI and Deep learning, availability of low-cost cameras, and their prevalent usage in electronic devices like cell phones, and computers enable educators to measure learners' engagement levels using computer vision.

While monitoring a student's behavior incessantly is not possible, computer vision systems serve myriad benefits to the education sector, such as eliminating the need for a teacher. With this technology, each and every student's engagement in the classroom can be monitored easily.

The Use of Computer Vision in Education

Computer vision systems are proven to carry out tedious, repetitive tasks at a faster rate, making the entire process simpler. In education, it is supposed that the technology will improve the ability to detect, distinguish, measure, and retort to individual student's levels of engagement in years to come.

In today's internet world, as people can easily search for their subject matter topics and find germane information at their fingertips within seconds, they can easily opt for any course or skill-oriented program from several courses available online.

Digital Teaching Influenced by Computer Vision 

When it comes to learning, people are not restricted where they are interested in. A wide range of open online course platforms are easily available and are continually rising. Even, a number of recognized institutes are providing online certification courses over and above standard college courses. These online training courses offer audio and video lectures to the students, in addition to digital materials like e-books. These online courses also allow students to learn as per their schedule and do not have a fear of missing out on any important lectures.

Improving Traditional Teaching Methods

As, on one side, computer vision enables educators to assess users' behavior while teaching online, on the other hand, it assists to track student engagement in traditional classrooms. This can help analyze the students' interest level and attentiveness, and afterward, educators can modify their teaching methods to harvest more attention from students and maximize their interest. Ultimately, this data can improve traditional teaching methods and offer customized courses and materials for students as per their understanding capabilities.

Enhancing Cooperation Between Students

Beyond advancing teaching methods, computer vision helps in improving cooperation between students. Educators can place students into their interested groups where they are most comfortable interacting and sharing their ideas and opinions. This method helps in the growth of the student as they are at their comfort level. Computer vision analysis here assists in studying students' behavior and interaction during diverse group tasks on how they teach others, and how comfortable they are with fellow students. Later, it enhances peer-to-peer interaction between students according to their comfort levels.

With all these benefits and considerations, we can expect the future of education can be benefited from the use of Computer Vision as it allows systems to see, process, and interpret visual information in real-time.