Abstract Paper
| Title | : Driver distraction and drowsiness detection system using CNN Techniques |
|---|---|
| Author(s) | : Poovizhi M, Pooja E |
| Article Information | : Volume 4 - Issue 1 (May - 2020) , 128 - 131 |
| Affiliation(s) | : Asst. Professor in Computer Science, PG Department of Computer Science, Sacred Heart College (Autonomous),Tiurpattur TamilNadu,605601, India |
| : Master of Computer Science, PG Department of Computer Science, Sacred Heart College (Autonomous),Tiurpattur TamilNadu,605601, India |
Abstract :
The Driver's status is urgent because that one of the fundamental explanations behind vehicle mishaps is identified with driver's laziness. Languor locator on a vehicle or some other four-wheelers can decrease various mishaps. Mishaps happen on account of a solitary snapshot of carelessness, along these lines driver observing framework that works continuously is vital. Tiredness recognition is a wellbeing innovation that can forestall mishaps that are brought about for drivers who nodded off while driving. The target of this moderate Python adventure to develop a tiredness distinguishing proof structure that will perceive that a person's eye is shut for two or three minutes. This framework will alarm the driver when tiredness is recognized.
| Keywords | : Driver Monitoring System, Drowsiness Detection, Deep Learning, Conventional Neural Network, TensorFlow |
|---|---|
| Document Type | : Research Paper |
| DOI | : Volume 4 - Issue 1 (May - 2020) |
| Publication date | : July 09, 2020 |