FREMONT, CA: In the technological arena, artificial intelligence and drones are a match. The combination of AI's real-time machine learning technology with unmanned drone exploratory functionalities gives ground-level operators a human-like eye-in-the-sky. Drones play an important problem-solving role in a variety of sectors more than ever before—including defense, agriculture, relief from natural disasters, security, and construction. Drones have become important to everyone, from firefighters to farmers, with their ability to increase efficiency and improve safety. In fact, smart UAVs are so popular that they are now being used around the world on more than 400,000 job sites. Until recently, however, drones could only display what was captured by their cameras. Now, they can perceive their surroundings which allows them to map areas, track objects, and provide real-time analytical feedback.
As drone technology is increasingly developing and spreading, the availability of high-resolution images used for various tasks such as maintenance, surveying, mapping, and monitoring is steadily increasing. Many established software companies are on the market delivering intelligent data analysis strategies to make unstructured drone data "actionable" and gain meaningful insights without time-consuming manual analytics.
To uncover and decipher hidden patterns, Pix4D has added specific machine learning features to robust algorithms that help patients achieve a more accurate diagnosis and targeted treatments. In an automated mission, Skycatch's system can use deep learning models to identify and track assets and material deliveries across an active building site.
