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An Overview of Speed Recognition and Drowsiness Detection

EasyChair Preprint no. 2178

8 pagesDate: December 16, 2019


Minimum Speed helps to control the car from accidents. The accidents are said to be the big cause which tends to death. More over 1.2 millions of public are facing death. Therefore, Speed is an important role to pay attention to accidents. Formulating the over speed in the super highways had denied the fault for drivers/riders. The people in large numbers are traveling in super highways in anytime. The drivers may have lacking sleep and they can be diverted by any kind of interference, or using the mobiles and all these can lead to accidents. To overcome these types of road accidents, we came forward to propose a effective system to alert the drivers using such techniques. Detecting the face is based on image processing technique. This is done by using camera. If the driver feels drowsy, the alert pings him with sound. The sensor is introduced to stop the alert sound. The system here proposed with large techniques with facial and eyes detection.

Keyphrases: Accident, car, detection, driver, recognition, Techniques

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {G Aswini and J Srinivetha},
  title = {An Overview of Speed Recognition and Drowsiness Detection},
  howpublished = {EasyChair Preprint no. 2178},

  year = {EasyChair, 2019}}
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