• Athish R Amin
• Dr. Sandeep Bhat
• Dheeraj
• Mahammad Najeeb
• Mueenuddeen Murshid

With the growing quantity of cars at the roads, the driver safety has emerged as a chief problem, especially due to adjustments in accidents associated with lanes and blind area during merger. Blind spots are areas around an automobile that don't seem to the driver the use of conventional mirrors, ensuing in common conflicts. The "Zone Safe" project addresses this task by way of launching a wise blind spot detection gadget designed to boom street protection. The device integrates an excessive- resolution camera, ultrasonic sensor and an Arduino microcontroller to provide real-time monitoring and alert. Live videos are processed the usage of python and OpenCV, and item detection is finished the use of YOLOv8 algorithm, which is thought for its precise and pace. A Region of Interest (ROI) is defined to optimize the efficiency of detection, even as ultrasonic sensors provide accurate distance measurements to help visible popularity. When detecting an automobile within the blind region, the gadget triggers a caution through LED or buzzers through Arduino communication. Zone Safe is designed to be flexible, value effective and easy to install, providing a sensible answer for secure and clever shipping systems.

Blind Spot Detection, Driver Assistance Systems, YOLOv8, Object Detection, Arduino, Ultrasonic Sensors, Computer Vision, OpenCV, Real-Time Monitoring, Road Safety.

"ZONESAFE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.492-497, July-2025, Available :http://www.jetir.org/papers/JETIRGX06093.pdf

"ZONESAFE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp492-497, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06093.pdf