The education sector has long treated every student the same. However, every student is unique and has different learning capabilities. The use of computer vision in education can help to maximize students’ academic output by providing a customized learning experience based on their individual strengths and weaknesses. The main advantage of computer vision in education is the ease and non-obstructiveness of the assessment process compared to traditional classroom education. Teachers can observe whether a pupil is motivated or disinterested in the class without interrupting their activities. Affective computing techniques, availability of low-cost cameras, and their widespread use in electronic devices like cell phones, computers, and tablets, allow educators to measure learners’ engagement levels using computer vision.