FetchAid

The whole picture of this project

Parcel lockers have become an increasingly prevalent last-mile delivery method. Yet, a recent study revealed its accessibility challenges to people with visual impairments (PVI). Informed by the study, we designed FetchAid, a standalone intelligent mobile app assisting PVI in using a parcel locker in real-time by integrating computer vision and augmented reality (AR) technologies.

FetchAid first uses a deep network to detect the user’s fingertip and relevant buttons on the touch screen of the parcel locker to guide the user to reveal and scan the QR code to open the target compartment door, and then guides the user to reach the door safely with AR-based context-aware audio feedback. Moreover, FetchAid provides an error-recovery mechanism and real-time feedback to keep the user on track.

Check out the demo video here.

Zeyu Xiong
Zeyu Xiong
Incoming PhD Student

My research interests include Human-Computer Interaction, Human-AI Collaboration, Accessibility, Ubiquitous Computing and Computer Music.