One of the main bottlenecks of AI models is the availability and quality of data. In order to train accurate and reliable AI models, large amounts of high-quality data are required. However, obtaining such data can be a challenge. Firstly, data collection is often time-consuming and expensive. Collecting, cleaning, and labeling large amounts of data can be a significant obstacle for many organizations.

Drones can be used as data collectors in a variety of ways. Some common applications include Aerial Surveying and Mapping, Inspection and Maintenance, Environmental Monitoring, Agriculture, Delivery & Public Safety.