Mobile Camera Application to Monitor Residential Society Vehicle Activity

Mobile Camera Application to Monitor Residential Society Vehicle Activity

Ms. Impa1, Kaluva Srujan2, Ulli Madhu3, Prakash Singh4
1Assistant professor in computer science and engineering, presidency university, Bangalore
2Student in computer and engineering, presidency university, Bangalore
3Student in computer and engineering, presidency university, Bangalore
4Student in computer and engineering, presidency university, Bangalore

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Abstract- This project presents a machine learning-enabled surveillance system designed for real-time monitoring and tracking of vehicles in urban and residential environments. With rapid advancements in autonomous technologies, there is an increasing demand for intelligent systems that can enhance public safety, streamline traffic management, and provide secure access control within private and public spaces. The proposed system leverages deep learning algorithms for vehicle detection, classification, and speed monitoring, while utilizing IoT infrastructure to enable seamless data collection and remote access.

Key words- Machine Learning, IoT, Surveillance System, Vehicle Tracking, Autonomous Technology, Deep Learning, Real-time Monitoring, Smart City, Traffic Management, License Plate Recognition, Predictive Analysis, Access Control, Situational Aware