AGRAWAL KUNJAL - Academia.edu (original) (raw)
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Papers by AGRAWAL KUNJAL
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022
Traffic signs displayed on the roads play an important role in our lives while driving. They supp... more Traffic signs displayed on the roads play an important role in our lives while driving. They supply critical information, for the road users. This successively requires them to regulate their driving behaviour and ensure that they strictly follow the road regulations currently enforced without causing any trouble to other drivers and pedestrians. Traffic Sign Classification is employed to detect and classify traffic signs to inform and warn a driver beforehand to avoid violation of rules. There are certain disadvantages of the existing systems, used for classification, like incorrect predictions, hardware cost and maintenance, which are to a great extent resolved by the proposed system. The proposed approach implements a traffic signs classification algorithm employing a convolutional neural network. Also, it consists of the feature of web cam detection of the traffic sign. This will help the driver to observe the sign close to his / her eyes on the display screen and thus save his/her time in manually checking the traffic sign each time.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022
Traffic signs displayed on the roads play an important role in our lives while driving. They supp... more Traffic signs displayed on the roads play an important role in our lives while driving. They supply critical information, for the road users. This successively requires them to regulate their driving behaviour and ensure that they strictly follow the road regulations currently enforced without causing any trouble to other drivers and pedestrians. Traffic Sign Classification is employed to detect and classify traffic signs to inform and warn a driver beforehand to avoid violation of rules. There are certain disadvantages of the existing systems, used for classification, like incorrect predictions, hardware cost and maintenance, which are to a great extent resolved by the proposed system. The proposed approach implements a traffic signs classification algorithm employing a convolutional neural network. Also, it consists of the feature of web cam detection of the traffic sign. This will help the driver to observe the sign close to his / her eyes on the display screen and thus save his/her time in manually checking the traffic sign each time.