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@article{200011,
        author = {Dhanashree Sudhir Jadhav and Rohini Nandu Salunke and Vaishnavi Chandrao Gudal and Vaishanavi Bhaktraj Deokar and S.P.Kharde},
        title = {Hybrid Smart Parking System Using Espcam and sensors},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {132-135},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=200011},
        abstract = {Parking space management has become increasingly difficult due to the rapid growth in the number of vehicles and inefficient utilization of available areas. This paper presents a smart parking solution that combines image-based monitoring with basic sensor-driven automation. The system utilizes an ESP32-CAM module to capture real-time visuals of the parking area, while OpenCV is employed to analyze these images and determine the status of each parking slot. An infrared sensor is positioned at the entrance to detect incoming vehicles, and a servo motor is used to regulate the gate based on slot availability. A display module indicates the total number of occupied and vacant slots, and a laptop interface provides detailed slot-level information. Compared to conventional systems that depend on multiple sensors, this approach reduces hardware complexity and improves system flexibility.},
        keywords = {Computer Vision, ESP32-CAM, Infrared Sensor, Servo Control, Slot Monitoring, Smart Parking},
        month = {May},
        }