Visual Parameters Testing System: Acuity, Contrast Sensitivity, and Color Vision
Software as a Service
NoCategory
Thesis DesignClients
Techstack
Purpose
Mapua University students needed a single automated station that screens three visual parameters — visual acuity, contrast sensitivity, and color vision — with speech recognition so patients can answer acuity and contrast tests hands-free.
Description
A Raspberry Pi testing station with a PyQt interface that walks patients through three examinations in sequence. Visual acuity and contrast sensitivity tests display randomized optotypes and capture spoken responses through a speech recognition module, while the color vision module presents an FD-15 style arrangement test. Patient records and results are stored in a local SQLite database, and the system generates printable result templates for each examination.
