Traffic Sign Recognition and Voice Alert System Using CNN for Intelligent Assistance

Road signs are crucial for a safe and efficient traffic flow. Negligence in observing and misinterpreting traffic signboards is a key contributor to traffic accidents. The suggested technology aids in the recognition of traffic signs and provides the driver with a voice alarm via the speaker so that prompt decisions can be made. The system uses a Convolutional Neural Network (CNN) for traffic sign recognition and classification in addition to OpenCV for picture processing. To increase the accuracy of recognition, a set of traffic sign classes are established and trained. A voice alarm is produced and sent through a speaker to alert the driver when a traffic sign is detected. To help the driver keep informed of the regulations to follow along the road, the device also has a feature that notifies them of any nearby traffic signs. By reducing human error in traffic sign reading, this technology aims to improve the safety of drivers, passengers, and pedestrians.

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Publication Details

Journal
International jounal of information technology and computer engineering.
Published
2025-06-11
DOI
https://doi.org/10.62647/ijitce2025v13i2spp59-66
Primary Topic
Vehicle License Plate Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Traffic Sign Recognition and Voice Alert System Using CNN for Intelligent Assistance

M. Farooq, Moien AB Khan, Zohraan Mohammed Abdul Moqsith, Mohammed Abdul Bari
International jounal of information technology and computer engineering.
Vehicle License Plate Recognition
article

Traffic Sign Recognition and Voice Alert System Using CNN for Intelligent Assistance

M. Farooq, Moien AB Khan, Zohraan Mohammed Abdul Moqsith, Mohammed Abdul Bari
article en

Abstract

Road signs are crucial for a safe and efficient traffic flow. Negligence in observing and misinterpreting traffic signboards is a key contributor to traffic accidents. The suggested technology aids in the recognition of traffic signs and provides the driver with a voice alarm via the speaker so that prompt decisions can be made. The system uses a Convolutional Neural Network (CNN) for traffic sign recognition and classification in addition to OpenCV for picture processing. To increase the accuracy of recognition, a set of traffic sign classes are established and trained. A voice alarm is produced and sent through a speaker to alert the driver when a traffic sign is detected. To help the driver keep informed of the regulations to follow along the road, the device also has a feature that notifies them of any nearby traffic signs. By reducing human error in traffic sign reading, this technology aims to improve the safety of drivers, passengers, and pedestrians.

International jounal of information technology and computer engineering.Vol. 13(2s)
Dean College (US), English and Foreign Languages University (IN)
Openalex Percentile: Top 81%
Vehicle License Plate Recognition
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