• Used to monitor eye activity(shows: blink-rate, on-screen time, interactive graphs).
• It can count the blinking of eye and can alter user to blink to avoid further irritation and redness of eye.
• It stores the time for which user has been looking into screen.
• Shows interactive graphs to for user to track his/her activity in last few days.

• python opencv libraries(specially dlib for face detection)
• pyQt5 for user interface

• can be used to monitor students in online class or examination.
• facial gesture can be used to control things.

python3 track-i_main.py