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Veya - Smart Glasses

Hardware

By @Ulagat

  • 2 Devlogs
  • 2 Total hours

Veya - AI-powered smart glasses that detect eye diseases A wearable device using Raspberry Pi and computer vision to screen for cataracts, conjunctivitis, and pterygium. Captures eye images, runs a TensorFlow Lite CNN model locally, and sends diagnosis + confidence score to a mobile app via WiFi. Built for underserved communities in Central Asia where ophthalmologists are scarce. Under $350 vs $10k+ professional screening devices. All processing happens on-device (no cloud, privacy-first).

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@Ulagat on Veya - Smart Glasses

35m logged

Today I did some work ,forget to start timelapase after 3 hours of work:(

Finalized component selection for Veya smart glasses:

  • Raspberry Pi 4 (4GB) - $211
  • Pi Camera Module v2 (8MP) - $51
  • Power bank + SD card + frame materials
  • Total BOM: $324 (Kazakhstan regional pricing)

Completed system architecture:
[Glasses + Camera] → [Pi + AI Model] → [WiFi] → [Mobile App]

Diseases targeting: Cataract, Conjunctivitis, Pterygium
Model: MobileNetV2 on TensorFlow Lite (edge processing)

Next steps:

  • Order components from Kaspi.kz
  • Download training datasets (Kaggle ODIR, IDRiD)
  • Start model training in Google Colab

Goal: Affordable eye disease screening for Central Asia (<$350 vs $10k devices)

Currently on family trip. Will lock in on development once I’m back home.

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@Ulagat on Veya - Smart Glasses

1h 21m 55s logged

Currently I am summarizing all project needs and outline all functionality and requirements. Also, on creating a project development plan and obtain funding for the purchase of project components. Sooo that is all I am doing rn

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