Hobby drones equipped with a camera are now a very popular tool around the world, while a group of researchers has developed an artificial intelligence-based framework that allows even more serious filmmakers to make shooting more efficient and cheaper. Today’s modern drones already have highly advanced capabilities to detect and track objects, even from the right distance. Because of this, they have become a very important tool for both amateur and professional filmmakers.
But controlling the camera of quadrocopters is often very cumbersome. Drones can walk different paths in the same scene, even if they carefully adjust their position, speed, and angle of their camera. This, in turn, can completely ruin the consistency of the recording. In search of a solution, researchers at Carniege Mellon University, the University of Sao Paolo and Facebook have worked together to develop a framework that can eliminate this problem. Using software simulations, a database was compiled from video clips with different recording types. Then, by involving a large group of people (crowdsourcing) and using artificial intelligence, a connection was established between predefined labels (“exciting”, “enjoyable”, “predictable”) and certain semantic descriptors. In the next step, the co-authors of the framework embarked on a series of experiments that included a special process, the determination of the minimum perceptually valid step size. This allowed the parameterization of the drone recordings. Then they built a data set of 200 video files and commissioned people recruited from Amazon Mechanical Turk to assign scores to the semantic descriptors.
The scores formed a machine learning model that linked descriptors to parameters that could control drones during recordings. Finally, the team installed the framework on a Parrot Bebop 2 drone and claimed to have achieved very good results with a variety of actors, activities and settings alike. Video production can be very expensive. In the United States, a short commercial can cost as much as $ 1,500 to $ 3,500, or about half a million to one million forints, and can be a serious burden for a small and medium-sized business. Artificial intelligence-based methods, on the other hand, can significantly reduce costs, so such solutions are likely to gain more ground in the future.



More articles you may be interested in...
Drones News & Articles
China’s automated logistics network exposes Western regulatory inertia
Drones News & Articles
The hovering sniper: China’s new rifle-drone achieves “deadly precision”
A recent report indicates that Chinese researchers have overcome one of the primary hurdles in robotic warfare: recoil management.
EVTOL & VTOL News & Articles
Sanghajt opens up to drones
From February, drones will be able to fly over designated areas without prior notification, with the local government seeing tremendous...>>>...READ MORE
Drones News & Articles
DJI agras series: a new era in autonomous agricultural robotics
Air taxi News & Articles
The great convergence: standardizing electric flight propulsion
EVTOL & VTOL News & Articles
The tethered sky: Navigating the integration of U-space and energy grids
News & Articles Propulsion-Fuel
Hydrogen’s regional mandate: Retrofitting the future of flight
EVTOL & VTOL News & Articles
Navigating the valley of reality: An AAM sector assessment
The Advanced Air Mobility (AAM) ecosystem has fundamentally shifted, transitioning from a period defined by...>>>...READ MORE
moreDrones News & Articles
Europe’s airspace awakens: The industrial reality of U-space 2.0
News & Articles Propulsion-Fuel
Hydrogen’s verdict: The 2026 propulsion shift redefining regional flight
News & Articles Propulsion-Fuel
Solid-state inflection: The 5-minute charge revolutionizing regional aviation
The nascent electric aviation sector currently faces a defining bottleneck that has less to do...>>>...READ MORE
EVTOL & VTOL News & Articles
The certification cascade: How Part 194 rewrites the rules of vertical flight
Drones News & Articles
Beyond Formula 1: engineering the 657 km/h Peregreen V4 drone record
In the realm of aerodynamics, the quadcopter configuration has traditionally been associated with stability and...>>>...READ MORE
moreEVTOL & VTOL News & Articles
EHang appoints Shuai Feng as chief technology officer
EHang Holdings Limited (Nasdaq: EH) (“EHang” or the “Company”), a global leader in advanced air mobility (“AAM”) technology, today officially announced that the Board of Directors of the Company (the “Board”) has approved and appointed Mr. Shuai Feng as the Chief Technology Officer (“CTO”), effective on January 14, 2026.