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@article{170095,
        author = {Hemanth Alakanti and Ankith},
        title = {IMAGE EMOTION RECOGNITION},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {3387-3390},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170095},
        abstract = {This project aims to recognize emotions by understanding different facial expressions by collecting live video through a default web camera. The video stream is captured through a local camera attached to the machine or computer system and fed to various image extraction techniques. Identification of facial features is done using OpenCV operations, and a contour surrounding the face is utilized as a source of input for the Convolutional Neural Network (CNN). The CNN model consists of six activation layers, four of which are convolution layers and two are fully controlled layers. Each layer undergoes several training techniques. The main objective is to demonstrate the information is accurate in CNN model, discuss the outcomes, and improve the efficiency of the model. The scope of this project is also analyzed to enhance technologies developed in the near future.},
        keywords = {},
        month = {November},
        }