Design and Implementation of a Vision‑Assisted Lift‑Based Automated Parking System with License Plate OCR and Real‑Time Slot Management
Keywords:
APRS, LPR, OCR, STM32F446ZET6, ESP32-CAM, multi-sensor fusion, stepper motor control, RFID authentication, MySQL loggingAbstract
This work presents a vision-assisted, lift-based smart parking and retrieval system that integrates real-time embedded control, multi-sensor validation, and centralized event logging for improved occupancy reliability and accountability. The proposed architecture employs an STM32F446ZET6 (NUCLEO-144) as the deterministic controller for slot allocation, safety supervision, and multi-axis motion sequencing, while an ESP32-CAM performs entry-side image capture and communicates with a local OCR server to extract the vehicle license plate. Vehicle entry is verified using a dual-sensor strategy (IR sensing + metal detection) to reduce false triggers and unauthorized access, and the recognized plate text is transmitted to the STM32 via UART to enable identity-linked slot assignment and traceable retrieval. Access control is implemented using a servo-actuated barrier, and automated storage/retrieval is executed using a lift mechanism driven by NEMA17 stepper motors with DRV8825/A4988 drivers, supported by limit-switch homing and emergency stop handling. User interaction is provided through I2C LCD displays, an exit-side keypad interface, and audio prompts, while operational data (vehicle identifier, timestamps, and occupancy status) is stored in a MySQL database for real-time monitoring through a web dashboard.
DOI: https://doi.org/10.24321/2395.3802.202613
How to cite this article:
Pawar S B, Pandhare S H, Shingane A S, Rajankar S O. Design and Implementation of a Vision‑Assisted Lift‑Based Automated Parking System with License Plate OCR and Real‑Time Slot Management. J Adv Res Embed Sys 2026; 13(3&4): 10-‑14.
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