Smart Home Assistant Using facial recognition to facilitate independence in vulnerable populations.
Final year project
Includes:
Facial Recognition with confidence level
Weather Forecast for a city of choice when the word 'Weather' is detected
Cascade mix that detects different body parts of a person and can detect if the person is smiling or is wearing glasses
Object recognition demo - Cascade created to detect a can of Heinz beans (Not working in real time)
Fall detection first commit. Set up to send an email alert when a person has fallen and is not getting up.
Reading text from a page and outputting to the user speech - Can be used for people with poor eyesight.