Raspberry Pi Zero V1.3 was selected due to its decent amount of utility and small form factor. To capture image content the P-eye uses the Raspberry Pi HD Camera v2 board. Learn more
As it was desired for the device to be worn on the user’s head to allow for image selection to directly correlate to the where the user is looking, the P-eye frame had to be lightweight and comfortable. Learn more
The cloud service handles image processing including cropping images, finding contours, and image recognition using OpenCV and Google Cloud Vision API. A lightweight Python web framework, Flask, is used to build RESTful APIs and it is deployed on Amazon Web Services. Learn more
P-eye with Bluetooth features -dubbed “BlueP-eye”- makes use of the Android mobile environment to enhance the capabilities of the P-eye. Learn more
Designed hardware and 3D printed objects.
Developed software written in Python and Java.