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@article{195105,
        author = {sivaranjani.T and Premalatha.J and Sanjaiprasad.S and Srilakshaman.N and Soniya.S.E},
        title = {An Intelligent Crowd Monitoring and Air Quality Surveillance System Using AI and IoT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {7277-7286},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195105},
        abstract = {The high rate of increase in the size of public assemblies in railway stations, temples, trading malls, auditoriums, and at industrial settings has provided a serious safety consideration, as the assemblies have posed a risk of overcrowding and poor air quality. Conventional ways of manual follow up are not efficient and in responding to cases of emergency at the right time. The present research project suggests a Smart Crowd Guardian System that would help improve the level of safety within the population by combining the monitoring of the level of the crowd and the environment. The system integrates real-time people counting of the camera- based vision analysis system with the continual air quality checking module provided by the IoT-connected sensors. Hazardous conditions are monitored through environmental conditions, which include levels of gas concentration, smoke, temperature and humidity. In case of the abnormal crowding density or unsafe air quality is observed, the system creates immediate alerts and notifications to provide quick preventive measures. The presented solution facilitates a scalable implementation and helps to make smart public infrastructure safer.},
        keywords = {Crowd Safety, Public Space Monitoring, Air Quality Surveillance, Smart City Infrastructure, Real-Time Safety Monitoring, Environmental Awareness, Intelligent Safety Systems.},
        month = {March},
        }