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Smart Eye Camera Ophthalmic Exams Via Your Smartphone
Anywhere, Anytime

The Smart Eye Camera, SEC, is an ophthalmic medical device, invented by Dr. Eisuke, a practicing ophthalmologist in Japan, to solve his own diagnostic problems in Japan and developing nations. The SEC is a smartphone attachment which requires no additional tools. It allows you to observe the eyelids, cornea, conjunctiva, anterior chamber, iris, lens, and vitreous body in the same manner as a conventional slit lamp microscope. This further enables you to diagnose various diseases, such as cataracts. Additionally, using a dedicated application for image filing, remote ophthalmic diagnosis and the consequential treatment are also possible. The creation of the SEC has made it possible for anyone to perform eye examinations at any time, regardless of location.

The global blindness prevalence is 44 million, and it is projected to roughly triple to 120 million in the next 30 years. More than half of the cases are caused by cataracts, which is treatable with first a proper diagnosis. Unfortunately due to lack of access to resources, this treatable disease goes untreated very often. This is where the SEC comes in - providing accessible and affordable means of screening cataract and other diseases.

This way, OUI Inc.'s portable and convenient device, the SEC, can play a major role in reducing worldwide blindness to a huge extent.

capabilities The Smart Eye Camera Makes It Possible To

  • Diagnosis by Smartphone

    Eye Diagnosis and Treatment via Your Smartphone

    Through attaching the attachment to your smartphone, you can perform ophthalmic diagnosis. There is no need for an external light source or an external battery, fitting in your pocket! Remote medical diagnosis and treatment is possible via the internet!

  • diagnosing ophthalmologic diseases

    Diagnose Ophthalmic Diseases Easily

    The slit lamp model is suitable for observing the anterior segment of the eye, including the eyelids, cornea, conjunctiva, anterior chamber, iris, and crystalline lens.
    It is useful for many ophthalmic diseases such as cataracts, dry eyes, allergic conjunctival diseases, and evaluating the anterior chamber depth.

  • 3D Printing

    3D Printed

    All SEC models are manufactured using high-precision 3D printers.
    It doesn't require a battery and has minimally moving parts, so it's durable and portable.

slit lamp
  • Slit Light

    By setting the SEC to the slit light mode, it is possible to diagnose cataracts, estimate the depths of the anterior chamber, as well as diagnose narrow angle glaucoma attacks.

  • White Diffuse Light

    By removing the slit and the blue filter, it is possible to diagnose allergic conjunctival diseases and to fit soft contact lenses, as well.

  • Blue Diffuse Light

    By installing the blue filter, it is possible to diagnose diseases such as the dry eye disease and herpetic keratitis, and also to fit ortho-k lenses.

ophthalmoscope
  • Mydriasis

    The optic disc and posterior pole can be observed without mydriasis, making it possible to observe risk factors for glaucoma such as the enlargement of the cup-to-disc ratio (cupping)..

cases Filming scenery

  • slit_case
    slit lamp

    Slit light

  • white_case
    slit lamp

    White diffuse light

  • blue_case
    slit lamp

    Blue diffuse light

  • ophthalmo_case
    ophthalmoscope

    Mydriasis

youtube YouTube Case Studies

  • slit lamp

    Epidemic Keratoconjunctivitis

  • slit lamp

    Dry Eye Disease

  • slit lamp

    Posterior Capsular Cataract

  • ophthalmoscope

    Optic Disc in Mydriatic Eye

  • slit lamp

    Superficial Punctate Keratitis (SPK)

  • slit lamp

    Giant Papillary Conjunctivitis (GPC)

clinical research Clinical Research for Development and Evidence Creation

  • UMIN000040321 Demonstration of Image Diagnosis Support System Using Artificial Intelligence Using Existing Ophthalmology Images

    (Keio University School of Medicine, Ethics Committee)
  • UMIN000043211 Ophthalmic Image Analysis Using artificial Intelligence

    (Keio University School of Medicine, Ethics Committee)
  • Development of the Anterior Segment Image Analysis Application Using Artificial Intelligence

    (Minami Aoyama Eye Clinic, Ethics Review Committee)

evidence Clinical Evidence