• ARIJIT CHAKRABORTY
• SIDDHARTHA BANERJEE
• ANIKET SADUKHAN
• ARITRA BASAK
• ABHIJIT GHOSH

Detecting the real-time emotion of the person with a camera input is one of the superior features of the Machine Learning (ML) procedure. The detection of the emotion of someone by using a digital camera in real-time is beneficial for diverse research and analytics purposes. The detection of the emotion of the person is made by using the machine learning concept. The work has been implemented using Python (3.10.4), Open Source Computer Vision Library (OpenCV), Tensorflow and NumPy. We can use the trained dataset to detect or hit upon the emotion of the individual. For detecting the specific emotions, first, we need to train those different emotions, or we may use a dataset already available on the internet. In this article, we are going to discuss developing Python software to detect the real-time emotion of an individual using a digital camera. Keywords—Computer Vision, Emotion Detection, Tensorflow, OpenCV, CNN, FER 2013.

"EMOTION DETECTION USING REAL TIME VIDEO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.e664-e667, June-2022, Available :http://www.jetir.org/papers/JETIR2206478.pdf

"EMOTION DETECTION USING REAL TIME VIDEO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppe664-e667, June-2022, Available at : http://www.jetir.org/papers/JETIR2206478.pdf