Bionic Eye

Experience looking through a bionic eye. This app turns a live camera feed into a low-resolution phosphene display that simulates how a visual implant might present vision. It rotates the image, extracts brightness and edges, compresses the scene into an electrode grid, and maps each cell to a brightness value that becomes the on-screen output. The main challenge is reducing a detailed camera image without losing important shapes, boundaries, and contrast. To solve that, the pipeline uses luminance extraction, edge detection, grid sampling, and spike-rate encoding before rendering the final phosphene map. The transformation process begins with a rotated camera frame that is converted into a uniform raster buffer, then passed through optical degradation, luminance extraction, center-surround filtering, and orientation-sensitive edge reinforcement. Each stage compresses the scene while…