RideOnTime

RideOnTime provides a mobile application that uses computer vision to read and vocalize transit information from digital signs. Visually impaired commuters can photograph signs to receive spoken updates on arrival times and destinations, ensuring accessible real-time transit data.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Visually impaired commuters face challenges accessing real-time transit information displayed on digital screens, which are often difficult to read or interpret. This lack of accessible data leads to uncertainty and potential missed connections during daily travel.

Solution

RideOnTime offers a mobile application that utilizes computer vision to extract and vocalize information from transit signs. Users can simply photograph a sign, and the application processes the image to provide clear, spoken updates on arrival times and destinations. This approach aims to eliminate the guesswork associated with public transportation for individuals with low vision. The platform is designed with an accessibility-first philosophy to ensure ease of use for its target demographic.

Target Audience

The primary users are visually impaired or low-vision commuters who rely on public transportation and require accessible methods for obtaining real-time transit updates.

Features

Mobile application leveraging computer vision for optical character recognition (OCR) on transit signage.
Real-time voice feedback of extracted transit data, including arrival times and destination information.
Image processing pipeline designed to enhance readability of digital displays.
User interface optimized for accessibility, requiring minimal user interaction beyond capturing an image.
Direct audio output of transit schedules and route details.