id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
azojete-1071	Okhiria, K. ; Jiya, J. D.; Sintali, I. S.	Modelling of a Real-Time Aerial Surveillance System for Quadcopter Application Using Machine Vision	2025	11	.pdf	application/pdf	5591	271	48	The use of quadcopter with CNN based detection model for real time surveillance is recently gaining ground in the engineering field, (Abdou & Aziz, 2021) leveraged on the use of AI and UAV technology for a real-time human and cars detection and tracking system using a CNN object detection algorithm YOLOv4 and a multi-tracking algorithm DeepSORT. Table 3: Detailed Results of Training Table 4: Performance Metrics Object detector Class No of training images Average precision No of test images Epoch Darknet–based YOLOv3 Bandit 800 0.81 200 192 Suspect 400 1.00 100 192 Weapon 400 1.00 100 192 Object detector Precision recall F1-score Average IoU mAP@0.50	cache/azojete-1071.pdf	txt/azojete-1071.txt