Ролята на AI в това направление се изразява в подобряване и опростяване на вече съществуващите процеси, както и скъсяване на времето за проучвания.
Всичко това води до разкриването на нови възможности за бизнесите.
Затова ще разгледаме в детайли как AI променя оптичната индустрия, каква е приблизителната стойност на инвестиции в технологичното развитие на бранша.
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
По отношение на медицината, изкуствения интелект играе важна роля в диагностицирането и лечението на очни заболявания.
Благодарение на алгоритъм за машинно обучение се анализират с прецизна точност изображения от МРТ (медицинска техника за диагностика, която използва силни магнитни полета и радиовълни, за да получи висококачествени изображения на вътрешните структури на тялото).
Artificial intelligence systems detect early signs of diseases such as glaucoma (irreversible blindness) and macular degeneration. А това позволява на очните специалисти да назначат адекватно лечение навреме.
Благодарение на AI в медицинската оптика, се увеличава процента на 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.
Повече от 70 патологии биват откривани, чрез иновативните технологии.Диабетната рентинопатия е заболяване на очите, което засяга хора с диабет и може да доведе до слепота, ако не бъде диагностицирано и лекувано навреме. Съществува разработена апаратура, която позволява анализа на хиляди изображения на ретината, така че заболяването да бъде уловено и лекувано навреме.
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.