The main objective of this project is to use a sensor system which allows real-time parking occupancy monitoring along with parking payment. A smart parking feature which enables a user to find a parking location and a free slot in that parking space through mobile app.
Effective and real-time eyeblink detection is of wide-range applications, such as deception detection, drive fatigue detection, face anti-spoofing. Despite previous efforts, most of existing focus on addressing the eyeblink detection problem under constrained indoor conditions with relative consistent subject and environment setup. Nevertheless, towards practical applications, eyeblink detection in the wild is highly preferred, and of greater challenges.
Keywords: Eyeblink detection, eyeblink in the wild, spatial-temporal pattern recognition, LSTM, appearance and motionNOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Hardware requirements:
Software requirements