Abstract:
Traffic congestion in increasingly congested urban areas has increased the travel time and delivery of goods and foods. Hence, attention is being paid to upgrading the goods transport network by reducing the traffic and ultimately improving the travel time. Delivering the objects is not just relying on roads and rails because these two modes of transport are not able to deliver the goods on time. Therefore, we need air routes as an alternative option to solve this issue. This project develops a complicated deployment based on the drone flyer, allowing the drone fleet to deliver items accurately. This power transmission means has the theoretical maximum load-bearing capacity of 5 kgs; it can be used in a wide range of applications. The Raspberry Pi used in this system is a very important element as it is the one responsible for better and more efficient object detection, which is necessary when aiming to identify target objects precisely. Automated dropping is attained via the object detection system while manual dropping is made possible by the servo motors. This proves perfect in operation because of the amount of control these aids have during operation. This duality of superior technology and comprehensive control renders this drone with the dropping mechanism fully fit for the use of tasks like cargo shipping, surveillance jobs, or local disaster responses.