AI BASED INTELLIGENT CONTROL SYSTEM CNN
YOGESH KUMAR .B
, MADHAVAN.P , AYAPPAN.J , HEMANTHKUMAR.S , M.PADMARASAN
The safety of automobiles and pedestrians has long been ensured by road traffic control. However, rescue vehicles and ambulances are backed up in traffic, making it difficult to save people who are inside the car.amidst the busy traffic. There is no mechanism that can instantly identify and categorise emergency vehicles in the flow of traffic. The following paper suggests using road photos to train a machine learning model for detecting and categorising emergency vehicles on the road in order to address this problem. The Convolutional Neural
Network (CNN)
Volume 11
Issue 2,
February-2024
Pages : 971-973
Paper Reg. ID: TIJER_151099
Published Paper Id: TIJERB001156
Downloads: 000282
Research Area: Science and Technology
Country: Thiruvallur,Chennai, Tamil Nadu, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave