Developing assistive technology for the visually impaired
Project Description
This project aims to develop tools leveraging the sensors available on a smartphone (camera, IMU, GPS, etc.) to facilitate the daily life of visually impaired people. Potential applications include (but not limited to): indoor/outdoor navigation, visual question answering, finding objects, etc.
Supervisor
BRAUD, Tristan Camille
Quota
2
Course type
UROP1100
UROP2100
UROP3100
UROP4100
Applicant's Roles
Develop solutions combining the data coming from the smartphone's sensors and camera to identify the surroundings of visually impaired people. Technologies leveraged will include machine learning, computer vision, sensor fusion.
Applicant's Learning Objectives
- assess the needs of visually impaired people
- learn the primary computer vision techniques used in identifying the users' surroundings
- identify which extra sensor data may be used to refine the environment understanding
- learn the primary computer vision techniques used in identifying the users' surroundings
- identify which extra sensor data may be used to refine the environment understanding
Complexity of the project
Moderate