Development of Drone Detecting Free Parking Space for Car Parking Guidance

This paper outlines the drone detecting free parking space for car parking guidance in order to reduce the work load of parking guardman. For this guidance system be effective we focused first on the white line edge of the car parking free space using CMOS cameras mounted in front and under Parrot airdrome 2.0 to capture the image. The input image taken from the camera was processed in the OpenCV software environment. The white line edge of the free parking space was detected first in RBG color, then converted to HSV. And finaly a mask processing was performed based on the outline information of the white line. Next the range in which the presence or absence of the car in the parking space was performed using template matching based on the data set taken from the School parking lot. Algthouh the experimental result shows a good result in which the drone was able to detect the free space in the parking lot the software still need improvement.