Abstract: With rapid urbanization and the rising number of vehicles, air pollution has become a significant environmental concern. The proposed Vehicle Emission Monitoring System provides an efficient IoT-based solution for real-time detection and analysis of vehicular emissions. Sensor modules continuously monitor the concentration of harmful gases such as CO, CO₂, and NOx, while data is transmitted to a centralized server for evaluation. There is an increasing need for automatic pollution detection systems integrated with automatic number plate recognition (ANPR) to identify and alert vehicle owners, thereby assisting government agencies in enforcing environmental regulations. The developed system automatically triggers alerts when emission levels exceed permissible limits, displaying information on an LCD and generating notifications through connected networks. This intelligent framework contributes to sustainable urban management by enabling proactive pollution control, improving environmental awareness, and supporting regulatory compliance.

Keywords: Embedded System, Gas Sensor, Number Plate Recognition


Downloads: PDF | DOI: 10.17148/IJARCCE.2025.141008

How to Cite:

[1] Ambili A.R, Ashlin Johny, Arjun Ayyappan M, Deo Dominic, Elroy C J, "IoT-Based Vehicle Emission Monitoring System with Real-Time Pollution Detection and Automatic Number Plate Recognition," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.141008

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