## 5 A Case Study on Utilizing Drones for Advanced Aerial Monitoring and Tracking
The alignment between the aerial image and the virtual model signifies successful execution according to the predetermined objectives. This validation process validates the efficacy of the virtual planning and underscores the importance of leveraging BIM and drone technology for achieving project goals, as shown in Figure 5.  
The distribution of the containers is as follows:  
Dimension of the container (width = 2.35 m, Length = 5.9 m, height = 2.39 m) + 1.2 m to open the door. So, the length for each container = 5.9 m+ 1.2 m = 7.1 m  
To distribute nine containers = 2.35 m \(\times\) 9 containers = 21.15 m  
+ space between each of them (0.49 m). Total width = 21.15 m + (9 \(\times\) 0.49m) = 25.56 m  
Note: 1 cm for BIM = 1 m for the real  
Finally, the integration of BIM and drone technology presents a transformative approach to construction monitoring, enabling stakeholders to bridge the gap between virtual planning and real-world execution seamlessly. By following the three-step process outlined in Figure 4, construction professionals can ensure the accurate achievement of project objectives, enhance project efficiency, and deliver superior outcomes. As technology continues to evolve, the adoption of BIM and drone technology will become increasingly indispensable in the construction industry, revolutionizing the way projects are planned, executed, and monitored. Figure 4: Comparison between the virtual entity in the (BIM) and the physical entity on the site. Figure 5 illustrates the use of drones to capture images of the actual area where containers are distributed. BIM models were created using information extracted from the drone-captured images to obtain three-dimensional models of the actual area. Virtual entities (containers) were designed based on these models. Accurate distribution of the containers was achieved using BIM models and available virtual information, ensuring precise placement within the actual area according to specified standards. Subsequently, verification and monitoring were carried out by drones to assist in verifying the execution process and container distribution according to the prepared designs and specified specifications. Continuous monitoring was conducted to ensure compliance with rules and designs. So, utilizing aerial imagery through smart tools such as drones represents one of the latest technological advancements that has significantly improved the efficiency and accuracy of distribution operations and container design. This approach has demonstrated several benefits that have positively impacted engineering operations and decision making in the following ways:  
- Comprehensive Site Analysis:  
Aerial imagery has facilitated obtaining a comprehensive and detailed view of the site, aiding in a better understanding of terrains, available spaces, and potential obstacles like buildings and trees. - Decision Guidance:  
The data derived from aerial imagery using drones have enabled better decision making regarding container distribution based on multiple factors such as access, geographic distribution, and terrain. - Increased Precision and Efficiency:  
Through precise analysis of aerial imagery and the use of smart tools, the distribution of containers with higher precision and efficiency has been achieved, resulting in reduced wastage of space and improved workflow. - Time and Effort Savings:  
This approach has saved time and effort by utilizing data derived from aerial imagery and reducing reliance on manual surveying. - Monitoring and Performance Improvement:  
Figure 5: Distribution of containers based on site area. The use of aerial imagery and smart tools has facilitated regular monitoring of distribution operations' performance and analysis of results, allowing for continuous improvement. Strategic Planning Enhancement:  
This approach has aided in identifying high-traffic density areas and distribution, thereby easing strategic planning for improving container distribution and workflow.