- Published on July 24, 2020
- In Deep Tech
My first CNN project – Emotion Detection Using Convolutional Neural Network With TPU
- By Rohit Dwivedi
Computer vision (CV) is the field of study that helps computers to study using different techniques and methods so that it can capture what exists in an image or a video. There are a large number of applications of computer vision that are present today like facial recognition, driverless cars, medical diagnostics, etc. We will discuss one of the interesting applications of CV that is Emotion Detection through facial expressions. CV can recognize and tell you what your emotion is by just looking at your facial expressions. It can detect whether you are angry, happy, sad, etc.
The article demonstrates a computer vision model that we will build using Keras and VGG16 - a variant of Convolutional Neural Network. We will use this model to check the emotions in real-time using OpenCV and webcam.
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Rohit Dwivedi
I am currently enrolled in a Post Graduate Program In Artificial Intelligence and Machine learning. Data Science Enthusiast who likes to draw insights from the data. Always amazed with the intelligence of AI. It's really fascinating teaching a machine to see and understand images. Also, the interest gets doubled when the machine can tell you what it just saw. This is where I say I am highly interested in Computer Vision and Natural Language Processing. I love exploring different use cases that can be build with the power of AI. I am the person who first develops something and then explains it to the whole community with my writings.
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