Drones can be an efficient and economic method to make intelligent power lines inspections and network maintenance. It can not only significantly reduce the cost of the inspections, but also provide scientific and accurate, standardized results.

UAVs have started playing a critical role in the intelligent automation of outdoor inventory management. They allow carrying out repetitive and dangerous tasks without almost any human intervention or supervision.

Crack detection is essential in monitoring of buildings, bridges, and infrastructure. It is proposed that the use of UAVs for infrastructure inspection purposes can make the task significantly easier, safer and cost-effective.

By using drones to perform regular patrolling duties, aerial imagery can be captured, we can perform crack detection and monitor water pipelines more effectively and efficiently.

The concept of creating smart cities has become more important, while advanced tree management has its importance in order to make these urban areas more liveable and truly sustainable.

We offer a deep learning model that uses high-resolution aerial images for building detection in the city, count them and measure the size of the building, as well as detecting if there is any unexpected/illegal building.

Quantifying the abundance of marine mammals, and locating them, such as stranded dolphins and whales along the shoreline are essential for studying their behaviours, better marine management and conservation. Traditional boat-based investigation relies on researchers' expertise to identify species, and recognize individual or group behaviours at the ocean’s surface. However, it is a time-consuming and inefficient way due to limited areas for conducting such an investigation.

Tree species classification has always been a challenging issue. By using UAVs, Anavision aims to classify tree species based on high-resolution RGB and multispectral images captured. Deep learning is proved to outperform on image classification.