Traffic Sign Board Recognition and Classification using Machine Learning
G.Aravind
, L.Dinesh , D.Uday Reddy , G.Sivasai , R.Nivetha
Traffic Signs ,Keras ,Matplotlib ,Pandas, CNN, Machine Learning.
One of the main causes of the problems in society is road traffic. Because of the daily increase in traffic on the roads, it is essential to obey traffic laws with due discipline. All members of the public are expected to abide by traffic regulations, which include traffic sign boards and traffic signals. The purpose of the Traffic Sign Board Detection system is to give drivers complete help in following traffic signs. A camera mounted on the car is used to take pictures of the billboards. CNN will use the collected image to evaluate it and determine the signboard. This provides the motorist with a semblance of assistance, alerting them and lessening their workload.
"Traffic Sign Board Recognition and Classification using Machine Learning", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 3, page no.1043 - 1048, March-2024, Available :https://ijsdr.org/papers/IJSDR2403146.pdf
Volume 9
Issue 3,
March-2024
Pages : 1043 - 1048
Paper Reg. ID: IJSDR_210620
Published Paper Id: IJSDR2403146
Downloads: 000347114
Research Area: Computer Engineering
Country: Kanchipuram, Tamilnadu, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
