Intelligent Vision Test Automation and Sensing by Yen Chang and Kai-Chu Li |
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| DESIGN NAME: Intelligent Vision Test PRIMARY FUNCTION: Automation and Sensing INSPIRATION: 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. We interviewed senior optometrists and found some problems during the vision test. We compared other vision test devices to learn pros and cons, and made sure of the advantages of IVT. UNIQUE PROPERTIES / PROJECT DESCRIPTION: Intelligent Vision Test 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. OPERATION / FLOW / INTERACTION: 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. PROJECT DURATION AND LOCATION: IVT designed since on January, 2022 and it will be tested with experts during 2023, and on market in 2024. FITS BEST INTO CATEGORY: Idea and Conceptual Design |
PRODUCTION / REALIZATION TECHNOLOGY: The lens on IVT can sense the direction of the subject's gesture, as well as the degree and rotation angle of the test lens. IVT lifting device moves the screen up and down to meet the testing needs of people of different heights. SPECIFICATIONS / TECHNICAL PROPERTIES: 800*180*200 (mm) plastic, electronic paper, lens, lens, electromechanical TAGS: medical device , vision test , automation , sensing systems , AI RESEARCH ABSTRACT: At first, we interviewed senior optometrists and found some problems during the vision test. We compared other vision test devices to learn pros and cons, and made sure of the advantages of IVT. According to necessary and product nature to build up the original outlook of IVT. We tried many times to make sure the rationality of product operation. We learned and discussed many times with senior optometrists to improve IVT with their advice and suggestions. CHALLENGE: In terms of improving IVT, we continue to evolve the interface process to better meet the needs of the testees and the smoothness of the optometrist's assistance. Through the graphical presentation and information expression of the interface, users can more quickly understand the instructions under test, especially in the process of opticians. A variety of design modes have been made to ensure that each process can provide the best lens test, in order to achieve convenience and display the image of the IVT and the subject's voice interaction. ADDED DATE: 2022-09-10 23:02:47 TEAM MEMBERS (1) : Main Designer: Yen Chang /Assistant Designer:Yu-Chieh Sun /Assistant Designer:Yueh-Ju Chou /Assistant Designer:Yu-Chieh Chien/Professor:Kai-Chu Li IMAGE CREDITS: Image #1:Designer Yen Chang/IVT-Intelligent Vision Test/2022 Image #2:Designer Yen Chang/IVT-Intelligent Vision Test/2022 Image #3:Designer Yen Chang/IVT-Intelligent Vision Test/2022 Image #4:Designer Yen Chang/IVT-Intelligent Vision Test/2022 Image #5:Designer Yen Chang/IVT-Intelligent Vision Test/2022 |
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| CLIENT/STUDIO/BRAND DETAILS | |
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NAME: Yen Chang PROFILE: 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. The screen is designed to be lifted and stretched to meet heights. |
| AWARD DETAILS | |
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Intelligent Vision Test Automation and Sensing by Yen Chang and Kai-Chu Li is Winner in Interface, Interaction and User Experience Design Category, 2022 - 2023.· Press Members: Login or Register to request an exclusive interview with Yen Chang and Kai-Chu Li. · Click here to register inorder to view the profile and other works by Yen Chang and Kai-Chu Li. |
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