Artificial intelligence and its importance in the development of optics

Image of women with sunglasses created with artificial intelligence

Contents

Artificial intelligence (AI) is becoming an increasingly significant factor in the technological development of many industries, including optics. The role of AI in this direction is expressed in improving and simplifying already existing processes, as well as shortening the time for studies. All this leads to the opening of new opportunities for businesses. Therefore, we will look in detail at how AI is changing the optical industry, what is the approximate value of investments in the technological development of the industry.

Applications of AI in optics

When we expand our horizons, we will realize that optics are all around us. She is not just a couple prescription glasses, but an opportunity to see the world even in the smallest details.

Medical optics

In terms of medicine, artificial intelligence plays an important role in the diagnosis and treatment of eye diseases. Thanks to a machine learning algorithm, MRI images (a medical diagnostic technique that uses strong magnetic fields and radio waves to obtain high-quality images of the body's internal structures) are analyzed with pinpoint accuracy. Artificial intelligence systems detect early signs of diseases such as glaucoma (irreversible blindness) and macular degeneration. And this allows eye specialists to prescribe adequate treatment in time. Thanks to AI in medical optics, the percentage of early diagnosis of multiple diseases, with approximately 35%. And 65% of specialists find conflicting information that they can easily interpret accurately thanks to an artificial intelligence system.
More than 70 pathologies are detected through innovative technologies.

Diabetic retinopathy is an eye disease that affects people with diabetes and can lead to blindness if not diagnosed and treated in time. Equipment has been developed that allows the analysis of thousands of retinal images so that the disease can be caught and treated in time.

Google's AI algorithm used for the diagnosis of diabetic retinopathy, shows accuracy over 90%. In a study published in JAMA (Journal of the American Medical Association), the AI ​​model demonstrated 88.9% sensitivity (the ability to detect disease in sick patients) and 98.5% specificity (the ability to confirm that healthy patients do not have the disease) in detecting diabetic retinopathy.

Deep learning algorithms show over 90% accuracy in the diagnosis of glaucoma, based on optical coherence tomography (OCT) images.

Visual technologies

AI is widely used in visual technologies. Pattern recognition and video analysis systems are used in various industries. For example, AI can analyze security camera footage to identify suspicious behavior or monitor the movements of players in sporting events. After that, these data will be used for statistical analysis.

Investments in the development of new products in the field of optics

Investments in the development of new products in optics are crucial to the progress of the industry and to ensuring competitiveness in the market. Research and development expenditure in this area includes funding for innovation, technology and specialist training.

  • AI reduces production costs by around 30% worldwide. It helps automate processes and build visualizations, resulting in shorter manufacturing times for optical products such as prescription glasses. Global brands like ZEISS are investing millions in artificial intelligence.
  • The visual design that AI machine learning modules use are 95% more accurate and precise.
  • Artificial intelligence also significantly reduces product testing time, thanks to the larger database at its disposal.
  • AI systems allow the creation of very specific lenses with optical properties such as refractive index, dispersion and Abbe number. These characteristics are important, not only to satisfy the requirements, in the application of the product, but also to reduce the production cost.
  • Artificial intelligence enables high quality control.

And in conclusion, it is clear that the most essential advantage of artificial intelligence is the huge database at its disposal and the speed with which it processes it.

How useful was this post?

Click on a star to rate it!

Average rating 5 / 5. Vote count: 1

No votes so far! Be the first to rate this post.

As you found this post useful...

Follow us on social media!

We are sorry that this post was not useful for you!

Let us improve this post!

Tell us how we can improve this post?