EvernightBoard vs EyeSearch

Gathering the brocaded words of the long night, transforming ten thousand thoughts into this space. EvernightBoard is a display-assistive tool that prolongs your communication through preset images and text when both touchscreen access and verbal communication are limited. * Use Cases: - When verbal communication is limited and touchscreen precision is extremely low (e.g., wearing gloves) or the touchscreen is unusable, use preset large text or images to quickly convey information to others. - Presenting prompts to the stage from offstage. - Scenarios where you simply need to display text messages or images in large sizes on the screen and be able to turn pages. * Supported Page-Turning Methods: - Switch screens using icon buttons in the navigation bar: The most standard method for page navigation. - In portrait mode, the navigation bar automatically shifts to the slightly tilted side of the phone, ensuring the thumb of either hand can easily reach it. - In landscape mode, the navigation bar always remains at the bottom. - Touch half of the screen to switch screens: Enables accurate page turning even with low touch precision. - Portrait mode: Top and bottom halves. - Landscape mode: Left and right halves. - Use volume buttons to turn pages: Physical buttons serve as your most reliable backup. This feature must be enabled separately in the software settings.

EyeSearch uses your iPhone camera to detect a specific stickered items in real time, helping you quickly locate the object it's attached to. Designed for people with low vision, EyeSearch gives you a visual guide without requiring you to rely on small text or fine details. Simply open the app, point the camera, and let it do the searching. Key features: • Real-time sticker detection using camera. • Works entirely offline, no data is sent to any server • Privacy-first: your camera feed is never stored or shared EyeSearch is built with accessibility in mind, providing a simple and fast experience for everyone. A project developed at Apple Developer Academy | UCB by Victória Martins, Raquel Souza, Daniela Carvalho, Paulo Henrique, and Manoel Pedro, under the mentorship of Felipe Carvalho and Júlio Santos.