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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM25783
Volume:
7 |
9 |
Sep 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This paper aims to represent a mini version of self-driving automotive victimization IOT with Raspberry Pi and Arduino UNO working as the main processor chip, the 08 mp high-resolution Pi camera can offer the specified data and thus the Raspberry Pi can analyze the data (samples) and it will get trained in pi with neural network and machine learning algorithm which could finish in the detection of road lanes, and traffic lights, and thus the automotive can alternate consequently. To boot these options the automotive can overtake with correct LED indications if it comes across an associate obstacle.
KEYWORDS
Publication Date
9/22/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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