The future of robot photography
Robotics technology has already presented intelligent robots that are increasingly being used in photography at various events. Robot photography has offered numerous business opportunities as well as attracted the interest of researchers. More technological advancements are expected in robot photography in the future. Some of the developments are aimed at task performance optimisation, integration of the robot with other smart devices, and manipulation of camera angles for better poses. These innovations will significantly enhance the already high quality of photos taken by robot photographers. Even as more people and organisations embrace robot photography, here are some exciting aspects that you should expect to improve soon.
Improved detection capabilities
Artificial intelligence, deep learning, and machine learning have made it possible to apply different techniques of subject detection. Through leveraging basic patterns of a subject, a robot photographer will be able to detect subjects through features such as faces. The robotic systems will also be able to identify subjects by skin, motion parallax, and additional heuristics. It is also expected that, with improved optical flow, challenges that have been previously experienced in robot photography will be solved. These include substantial false positives and detection of faces with pose changes.
Navigation of the robot
Since the advent of robot photography, the selection of the most suitable position for taking the perfect picture has remained a significant problem. Seeking favourable locations has been limited to wandering around a place to identify the best area. However, this may not be a problem to you in the future, thanks to an emerging technology that allows a user to have complete control of how a robot navigates its entire environment. The technology will make it easy to select favourable locations while its predictable nature will allow attendees or bystanders to follow specific movement patterns.
One of the most critical considerations when taking a photograph is having a desirable composition. Most photographic compositions use techniques such as visual balance, golden cross, occupancy, and rule of thirds for the right alignment of edges and frame. With machine learning, accurate adjustment and composition may be optimised. The new technology will also come with additional features that are currently not available in handcrafted tools such as identifying subjects who are not smiling!
Even as we expect these advancements, the technologies applied presently in robot photography are more than satisfactory with far much efficiency and quality than normal ones. At Service Robots, we have you covered with a range of robots that will give you wonderful experience. Contact us today to find out more about what we have on offer for you.