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Student Notable

Commercial Equipment Award

Core77 Design Awards 2022

Results Announced for Community Choice Prize See All Winners

IVT-Intelligent Vision Test

Intelligent Vision Test (IVT) is a wall mount medical device that achieves the precision and convenience of vision testing with automation and sensing systems, which simplifies the cumbersome mode switching and calculation process. Through the fitting suggestions and voice interaction of the trial lenses, the glasses wearers have the best choice of lenses; the screen is designed to be lifted and stretched, which can meet the measurement of adults and children at one time.

Issue

Increased number of vision tests

Nowadays, people's lives are flooded with the use of 3C products, and the number of people with myopia is gradually increasing. The research estimates that by 2050, half the world population will have myopia. Therefore, the demand for vision-testing has greatly increased.

Problem finding

1.The existing vision instrument cannot move the height

The detector body is a fixed height and cannot match different heights, such as the detection of children and adults.

2.The tedious process of vision detection and glasses mode switching

The process of switching from vision testing to spectacles is cumbersome, reducing the fluency and efficiency of the testing process.

3.Complex lens and contact lens calculations

The complex process of calculating lens thickness and base curvature of contact lenses takes a lot of time and creates a burden on the optometrist.

4.The accuracy of optometry and lens data

There is a discrepancy between the data measured by the automatic refractometer and the actual degree, and the accuracy of manual detection needs to be considered, which affects the quality and comfort of the testee.

Design feature

1.AI automatic sensing and responding

Automatically sense the testee's position and action. Suggest suitable lens choices based on test data and the voice interacts with the testee. Detect trial lens angle and degree. Calculate lens thickness and optimal configuration of lenses and frames.

2.Lifting screen

Can stretch the screen up and down to testees of different heights, such as children and adult height.

3.Mode selection

Each mode has been set up for the connection process, and the screen will automatically switch to the next step, improving the fluency of detection and reducing tedious switching procedures.

a.Vision

Using logarithmic Landolt "C" eye chart. Detect the best degree value of naked vision.

b.Glasses

Automatically switch to detect the spherical degree of the eyeball, and use the red-green duochrome test to test astigmatism.

Lens thickness

Calculate the different refractive index, diameter and power of the lens, and give the best lens.

c.Presbyopia

The vision chart on the screen is downsizing, and the testee needs to stand forward to 0.4m and wear the vision correction to

test Fcc, Nra Pra.

d.Else

Contact lens

Measure the curvature of the cornea and the curvature of the eyeball, convert the degree and automatically insert the formula to calculate the best wearing curvature.

e.Output

Output selection of test results: cloud transmission or paper printing.

Expect result

1. Automated vision detection

Reduce the workload of medical staff. Make the vision testing process smoother and more convenient.

2. Meet the needs of the testee

Equipped with text height for people with different heights. AI assists in measuring vision acuity and recommending the best choices of lens.

3. In line with SDGs

In line with the third goal of SDGs,ensure healthy lives and promote well-being for all at all ages, and the third goal of SDGs, promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all.




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Results Announced for Community Choice Prize See All Winners
  • Honoree

    Chang Yen, Chen Yu-Ting, Sun Yu-Chieh, Hsueh Kai-Chieh, Chang Hsun-Yu, Lin Zhong-Wei, Prof. Li Kai-Chu

  • School

    National Taipei University of Education

  • Project Team

    Chang Yen, Chen Yu-Ting, Sun Yu-Chieh, Hueh Kai-Chieh, Chang Hun-Yu, Lin Zhong-Wei, Prof. Kai-Chu Li

  • Category

    Commercial Equipment

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