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THE IMPACT OF ARTIFICIAL INTELLIGENCE ON INVISION FIT AI

Introduction

In today’s world, artificial intelligence (AI) has become a fundamental pillar for improving products and processes across a wide range of industries. In the field of optics, INVISION FIT AI is an innovative solution that incorporates advanced AI to facilitate the work of opticians.

What is INVISION FIT AI, and what improvements does AI bring?

INVISION FIT is an application developed with 3D technology that allows opticians to obtain precise data about the centering and worn position of frames. This information is crucial for ordering high-value lenses that fit the end user’s needs perfectly. One of the key steps in the process involves the automatic detection of frame boxes in photographs captured by the system. However, this detection previously required manual adjustment in a significant percentage of cases, affecting the overall efficiency of the process.

With the incorporation of artificial intelligence, this step has been optimized, bringing significant improvements:

  • Improved automatic detection: The detection of boxes at the pixel level has improved by 75%.
  • Fewer manual adjustments: Previously, the optician had to make readjustments in 60% of cases. Now, only 25% of detections require human intervention.
  • Time savings: The necessary adjustments are now made 70% faster due to usability improvements made to the interface. The design of the new adjustment screen reduces the number of clicks and time.

How was this optimization achieved?

To achieve these advancements, we employ predictive AI, which is used to classify and distinguish between different types of data. In INVISION FIT AI the improvement in the detection of frame boxes was based on the use of computer vision algorithms and convolutional neural networks (CNN), an advanced deep learning technique.

The model was trained with an extensive dataset consisting of thousands of images of boxes previously adjusted by opticians, allowing the system to learn specific and relevant patterns for the task. Specifically, a bounding box detection model was used to accurately identify relevant areas in the images and automatically label them.

Conclusion

The integration of artificial intelligence into tools like INVISION FIT AI is a tangible example of how technology helps solve problems and transform traditional industries such as optics. In the future, it will become increasingly common to find applications with AI layers that enhance functionalities and optimize processes. However, it is essential to understand how AI works to avoid falling into the hands of those who misuse the term. In INVISION FIT AI, the advancements achieved with AI are not only real but also mark a before and after in the efficiency of optical work, demonstrating the true potential of these technologies.