Why it was needed
01The product had to improve what users saw in real time while also recognizing targets and guiding the user through them.
Low-vision assistive camera app
An Android accessibility product that combines real-time camera assistance and recognition support for low-vision users.

Accessibility / Camera
Assistive Android camera app for low-vision users with real-time enhancement and recognition support.
Project overview
Flowy is an accessibility product designed to help low-vision users see more clearly through the camera while also recognizing useful targets in the scene. The challenge was to make enhancement, recognition, and guidance feel like one assistive experience rather than separate features.
In the implemented scope, CameraX capture, OpenGL and GLSL filter processing, bus-number recognition, finger tracking, and voice guidance were connected inside one Android flow. It is a productized example of assistive camera work.
Why it was needed
01The product had to improve what users saw in real time while also recognizing targets and guiding the user through them.
What I built first
02I combined CameraX capture, OpenGL/GLSL filtering, bus-number recognition, finger tracking, and voice guidance into one app experience.
Where this approach works well
03This fits accessibility cameras and assistive recognition apps that need real-time visual processing and guidance together.
Technical details
Camera pipeline
Visual processing
Assistive experience
Working demos
These clips are captured from the actual prototype and show the interaction flow directly.
Camera assist flow
Recognition flow
Finger tracking test
Product surfaces
The screens below are the actual interfaces that defined the product experience.


Contact
A short brief, a reference link, or the current problem definition is enough. I can help structure the right first version from there.