Emotion Recognition and Drowsiness Detection using Digital Image Processing and Python

Authors

  • Pramoda R  Assistant Professor, Department of Computer Science and Engineering Nagarjuna College of Engineering and technology Bengaluru, India
  • Arun P S  B.E. Scholar, Department of Computer Science and Engineering Nagarjuna College of Engineering and technology Bengaluru, India
  • B S Athul  B.E. Scholar, Department of Computer Science and Engineering Nagarjuna College of Engineering and technology Bengaluru, India
  • Bharath B  B.E. Scholar, Department of Computer Science and Engineering Nagarjuna College of Engineering and technology Bengaluru, India
  • B Naveen Reddy  B.E. Scholar, Department of Computer Science and Engineering Nagarjuna College of Engineering and technology Bengaluru, India

DOI:

https://doi.org/10.32628/IJSRST2183209

Keywords:

Digital Image Processing, Artificial Intelligence, OpenCV, Haar Cascade

Abstract

We suggest a system that can detect a person's emotions as well as their level of sleepiness. The majority of our work is devoted to extracting information from the frontal face. The article goal is to create a product that is both reasonable and efficient in its operation. The system was created in Python using artificial intelligence and digital image processing technologies. Identifying eye blinking is essential in some situations, such as in the prevention of automobile accidents or the monitoring of safety vigilance.

References

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International Journal of Scientific Research in Science and Technology

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Published

2021-06-30

Issue

Volume 8, Issue 3, May-June-2021

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Pramoda R, Arun P S, B S Athul, Bharath B, B Naveen Reddy "Emotion Recognition and Drowsiness Detection using Digital Image Processing and Python" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 3, pp.1037-1043, May-June-2021. Available at doi : https://doi.org/10.32628/IJSRST2183209