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Title: :  TRAFFIC SIGN RECOGNITION USING CNN
PaperId: :  21752
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 5 2023
DUI:    16.0415/IJARIIE-21752
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
SHARMILA SBANNARI AMMAN INSTITUTE OF TECHNOLOGY
SAMYUKTHAA L KBANNARI AMMAN INSTITUTE OF TECHNOLOGY
SAMYUKTHA RBANNARI AMMAN INSTITUTE OF TECHNOLOGY

Abstract

COMPUTER SCIENCE AND ENGINEERING
Traffic sign recognition, image classification, convolutional neural network, driver assistance systems, feature extraction, CNN models.
Traffic sign recognition is very useful in automatic driver assistance systems. A convolutional neural network is a class of deep learning networks, used to examine and check visual imagery. It is used to train the image classification and recognition model because of its high accuracy and precision. Convolutional neural networks (CNN) execute both the feature extraction and the classification. These methods could achieve impressive results but usually on the basis of an extremely huge and complex network, since the fully-connected layers in CNN form a classical neural network classifier, which is trained by gradient descent-based implementations, the generalization ability is limited and sub-optimal. The main objective is to classify, recognize, and identify the traffic signs using convolutional neural networks which are made up of neurons that has learnable weights and biases that helps in giving the high performance in identifying the traffic signs even in its tough vulnerable conditions. The goal of the traffic sign recognition project is to build a convolutional neural network (CNN) which is used to classify traffic signs and to enhance safety, as it allows drivers to concentrate on the traffic in complicated situations. The system also helps motorists to keep to the speed limit. We should train the model so it can decode traffic signs from natural images using the dataset. The existing system approach makes sure a safe and comfortable driving experience by developing and giving an accurate road sign detection and recognition system which will forewarn the driver ahead of approaching signs on the road while driving.

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IJARIIE SHARMILA S, SAMYUKTHAA L K, and SAMYUKTHA R. "TRAFFIC SIGN RECOGNITION USING CNN" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 5 2023 Page 1709-1716
MLA SHARMILA S, SAMYUKTHAA L K, and SAMYUKTHA R. "TRAFFIC SIGN RECOGNITION USING CNN." International Journal Of Advance Research And Innovative Ideas In Education 9.5(2023) : 1709-1716.
APA SHARMILA S, SAMYUKTHAA L K, & SAMYUKTHA R. (2023). TRAFFIC SIGN RECOGNITION USING CNN. International Journal Of Advance Research And Innovative Ideas In Education, 9(5), 1709-1716.
Chicago SHARMILA S, SAMYUKTHAA L K, and SAMYUKTHA R. "TRAFFIC SIGN RECOGNITION USING CNN." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 5 (2023) : 1709-1716.
Oxford SHARMILA S, SAMYUKTHAA L K, and SAMYUKTHA R. 'TRAFFIC SIGN RECOGNITION USING CNN', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, 2023, p. 1709-1716. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/TRAFFIC_SIGN_RECOGNITION_USING_CNN_ijariie21752.pdf (Accessed : 15 October 2023).
Harvard SHARMILA S, SAMYUKTHAA L K, and SAMYUKTHA R. (2023) 'TRAFFIC SIGN RECOGNITION USING CNN', International Journal Of Advance Research And Innovative Ideas In Education, 9(5), pp. 1709-1716IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/TRAFFIC_SIGN_RECOGNITION_USING_CNN_ijariie21752.pdf (Accessed : 15 October 2023)
IEEE SHARMILA S, SAMYUKTHAA L K, and SAMYUKTHA R, "TRAFFIC SIGN RECOGNITION USING CNN," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, pp. 1709-1716, Sep-Oct 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/TRAFFIC_SIGN_RECOGNITION_USING_CNN_ijariie21752.pdf [Accessed : 15 October 2023].
Turabian SHARMILA S, SAMYUKTHAA L K, and SAMYUKTHA R. "TRAFFIC SIGN RECOGNITION USING CNN." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 5 (15 October 2023).
Vancouver SHARMILA S, SAMYUKTHAA L K, and SAMYUKTHA R. TRAFFIC SIGN RECOGNITION USING CNN. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 15 October 2023]; 9(5) : 1709-1716. Available from: https://ijariie.com/AdminUploadPdf/TRAFFIC_SIGN_RECOGNITION_USING_CNN_ijariie21752.pdf
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