The 4th Grants4Apps Tokyo Winner/Representative
Grand Prize: OTON GLASS Co., Ltd. | Mr. Keisuke Shimakage | OTON GLASS—IoT smart glasses that extend perception—Blindness A pair of glasses that reads out letters for someone else. It has a built-in camera, and if you operate it while wearing it, the characters in front of you will be recorded as image data. Text data is extracted from recorded data, converted into voice data, and provided to the user by voice. It becomes possible to read characters easily without the help of others and to act autonomously. |
Excellence Award: QD Laser Inc. | Mr. Mitsuru Sugawara | New low vision care laser using retinal projection technology A head-mounted display that uses retinal scanning technology. An ultra-compact projector is installed inside the eyewear, and an extremely weak laser beam is used to project images directly onto the retina of the wearer. The wearer can see images without relying on their own eyesight or focusing ability. Improving the QOL of people with low vision that was difficult to improve with existing visual aids. |
Excellence Award: Photobiology Laboratory, Department of Ophthalmology, Keio University School of Medicine | Mr. Yusaku Katata | Multiplexing by artificial intelligence Development of a medical device program for estimating retinal circulatory dynamics AI is used to detect abnormal findings pixel by pixel from fundus photographs, and to predict retinal circulatory dynamics by learning the results of fluorescent fundus angiography, which have been accumulated in Japan, as training data. develop a program; Since it is possible to grasp the ocular circulatory dynamics from fundus photographs non-invasively, inexpensively, and easily, examinations for children and the elderly, which were difficult to examine in the past, can be performed, and examinations can be easily and repeatedly performed at family clinics or in remote locations. Since it can be done, it will lead to early detection and treatment. |
Special Award: CMIC Healthcare Co., Ltd. | Mr. Shinichi Keino | Eye disease check that can be done at random glaucoma and diabetic macular degeneration "Eye disease check (provisional)" application for the purpose of early detection and disease awareness for patients. Enter basic information into the app, check for possible eye disease using the noise field check method, and add our own data to provide a step-by-step grading result. Propose countermeasures for each result. |
Special Award: Locomoco Inc. | Mr. Tomoshin Endo | Information care with monoca project glass-type wearable device and smartphone app solution. Parties and guides introduced the app. When a problem occurs on the side of the person concerned, the video input from the device is sent to the guide by live streaming, and the person concerned can request remote movement support by the guide without making a reservation or meeting. Help improve the quality of life of visually impaired people by reducing the danger of walking while commuting to school or work. |
Overview
■Selection Theme: "Innovative Solutions to Support Eye Disease Patients" ■Examination Criteria
■ Examination Awards
Category
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