How Computer Vision Is Changing Education & Home For The Better
As part of the realm of Artificial Intelligence, the idea of Computer vision was initiated in the late 1970s, and ever since then this technology advanced enough to make all these applications accessible to almost everyone around the world. Nevertheless, in the past few years, this technological advancement has completely taken over many industries and has become crucial for future technologies more than ever before.
This article provides a guide to a few of the applications of Computer Vision (CV), especially in education and its use in our homes. Although there is a broad list of applications, here is a list of just few in details.
Impact On Education
One of the critical factors in providing a good education is to make sure that whatever conveyed by teachers is being appropriately absorbed by students. It is imperative to understand that every student is different in his/her ability to learn. Traditional education systems, where an instructor keeps monitoring a class of students, cannot ensure and maintain every students' attention focused. It is essential to understand such behaviors of students within the classroom to improve traditional teaching methods.
With Computer vision, the hassle of continually monitoring each student becomes a walk in the park. Using low-cost cameras, mobile devices, and modern computing techniques, Computer vision can monitor student engagement levels in classrooms, which is highly beneficial to better the quality of teaching methods and improving academic performances of students.
In Classrooms
Cooperation between students in classrooms is essential for engagement and growth among students. It is the responsibility of teachers to study student behaviors and create an environment for healthy relationships among students. For example, when placing students in groups for any activity it is important consider their personality types. If grouped according to their personality, students can be more participative, share ideas and clear their doubts.
Computer vision can analyze such patterns in student behaviors like student interaction in groups, eye movements, facial expressions, and postures. This is key to understanding how and why some students find a lecture interesting while others get bored by the same lecture. Teachers can use this data to understand their students better and optimize relationships among them. With Computer vision, educators can modify and revamp their current teaching methods and curriculum. Above all, this provides the opportunity for educators, like teachers, to maximize learning in students. Hence, better student engagements will lead to better academic results.
Tests and Exams
With the advancement of college degrees and online courses being offered, the number of tests and examinations have significantly increased. Typically, a teacher or exam invigilator is responsible for conducting an exam safely, i.e., keep students from cheating an exam. It has been and will be more difficult in coming times to monitor every student activity during exams, and even more complicated when it comes to online exams. Modern Artificial Intelligence techniques in Computer vision, however, have a way around to solving this problem.
False identities and suspicious eye movements are common methods of students trying to cheat an exam. Computer vision uses low-cost webcams and mobile devices to track student behaviors like eye contact, facial recognition, etc. Researchers have estimated that exam assessment systems using Computer vision have almost up to 86% accuracy in detecting cheating. Many companies have and are building apps, like Respondus and ProctorU, that provide services for monitoring online examinations.
Medical Training
Imaging has been paramount for medical diagnosis and surgery, and Computer vision has not hesitated in pushing further boundaries of innovation in Medical sciences. Augmented Reality (AR), which is used for enhancing the perception of the real world, has enabled companies to create gadgets that can place Computer-generated 3D models in real-world environments.
Augmented reality with the help of Computer Vision brings great value to medical sciences by enabling students and trainee physicians to understand diagnosis and surgery scenarios better. For example, students can use an AR headset and learn about the anatomy of the human body by just looking at different parts of the body. Thus, students of medicine can use AR guided headsets to learn in a more engaging and immersive manner enabling them to perform a precise and accurate diagnosis.
Impact At Home
Baby Health
The health of babies has always been the greatest concern for any parent. Other than nutrition and physical fitness, sleep is an essential factor affecting a baby’s health. Computer vision revolutionizes the science of sleep and takes it one step further. From recent breakthroughs in technology, a New York and Israel based company introduced Nannit, a Computer Vision based solution to monitor your baby’s health.
Nannit, using advanced machine learning and Computer vision technology, gives a live video feed of your baby’s sleep on your mobile phone. Day or Night, this app can analyze your baby’s sleep patterns. And the best part? As it uses AI techniques, this app learns more and gets smarter every time it analyzes your baby’s sleep. Hence, parents will be able to see how well their baby is sleeping and developing.
Home Security
Adding Computer vision to your already existing security devices, like cameras and alarm systems, will allow you to enter a new phase of comfort. Security cameras in homes will be to “see” and recognize faces that will enable them to automatically open or close doors according to how they are programmed. With the power of Computer vision, cameras will be able to detect and report anomalies or unfamiliar guests. Keeping a check on the elderly and kids can be made easy with Computer vision enabled security systems. These systems will automatically send alerts notifying; for example, if kids fall off a chair or an elderly need help to move around.
Roof Insurances
Insurance companies usually send company employees to the insured’s home for inspection of roof conditions. This is just not time-consuming but rather dangerous for the employees having to climb up to rooftops. Insurance companies are now seeking help from drone manufacturing companies that use Computer vision and AI techniques.
These drones have the ability of Autonomous-flight and inspect roof time. When drones “inspect” rooftops, they take multiple photos, which can be later transformed into 2D or 3D models. These drones have the ability to precisely measure dimensions, which allows insurers to determine damage with precision and safety.
Smart Fridge
Would you like to ask your fridge, “Do I have eggs?”. That sounds amazing, doesn’t it? Many electronics manufacturers like Samsung are building AI-powered fridges. These refrigerators have in-built cameras that use motion detection and image recognition to capture and record actions inside a refrigerator. Thus, “intelligent” fridges, using Computer vision, can keep track of all addition and removals of items inside our refrigerator. Therefore, helping us know if we are low on any item or what can be made for dinner based on items in the fridge.
These are just a few of the wonders we have achieved in education and living using Computer vision. We can find numerous examples of Computer vision in other areas, too, like health. Organizations working with education and technology have long been and still are benefiting from using Computer vision to create an engaging and productive atmosphere for learning. Whereas without even knowing sometimes, we have been living with Computer vision for many years, and with the advancement of technology, Computer vision can promise great benefits to our future in terms of quality living and education.
References (APA)
- Hartmans, A. (2017, March 4). How to use Pinterest's cool new feature as a visual search engine for the world around you. Retrieved from https://www.businessinsider.com/pinterest- lens-how- to-photos-2017-3
- Telford, T. (2019, August 1). 'Emotion detection' A.I. is a $20 billion industry. New research says it can't do what it claims. Retrieved from
- https://www.washingtonpost.com/business/2019/07/31/emotion-detection-ai-is-billion- industry- new-research-says-it-cant-do-what-it-claims/
- Facial recognition: School ID checks lead to GDPR fine. (2019, August 27). Retrieved from https://www.bbc.com/news/technology-49489154
- Police department turns to license readers. (n.d.). Retrieved from https://spectrum.ieee.org/cars- that-think/transportation/sensors/privacy-concerns-grow-as-us- police-departments-turn-to- license-plate-readers
- VanderKlippe, N. (2018, June 2). In China, classroom cameras scan student faces for emotion, stoking fears of new form of state monitoring. Retrieved from https://www.theglobeandmail.com/world/article-in-china-classroom-cameras-scan-student- faces- for-emotion-stoking/
- Joshi, N. (2019, October 19). Computer Vision Can Transform Education. Retrieved from https://www.forbes.com/sites/cognitiveworld/2019/10/19/Computer-vision-can-transform- education/#693321f1c4cc
- Connor, N. (2018, May 17). Chinese school uses facial recognition to monitor student attention in class. Retrieved from https://www.telegraph.co.uk/news/2018/05/17/chinese- school-uses- facial-recognition-monitor-student-attention/
- Influencing Factors of Success and Failure in MOOC and General Analysis of Learner Behavior. International Journal of Information and Education Technology, Vol. 6, No. 4, April 2016. Retrieved from http://www.ijiet.org/vol6/697-E20018.pdf
- https://ieeexplore.ieee.org/document/8279706