Armed with computer vision and advanced sensors, artificial intelligence drones can continually identify and monitor their surroundings and react accordingly.
FREMONT, CA: Drones are unmanned aerial devices used for many applications. When first developed, these devices were manually controlled. However, drones incorporate artificial intelligence, automating some or all processes. The incorporation of AI allows drones to use data from sensors attached to the drone to gather and deploy visual and environmental data. This data allows autonomous or assisted flight, making operation seamless and increasing accessibility. As a result, drones are part of the intelligent mobility offerings that are commercially available to organizations and consumers. Here is how artificial intelligence drones.
Artificial intelligence drones depend largely on computer vision. This technology allows drones to identify objects while flying and enables the analysis and recording of information on the ground. Computer vision functions through high-performance, onboard image processing performed with a neural network. Neural networks allow drones to perform object identification, classification, and tracking. This data is combined in real-time to let drones avoid collisions and locate and track targets. To deploy neural networks in drones, researchers must first train the machine learning algorithms to recognize and classify objects in several contexts. This is done by feeding marked images into the algorithm.
The other essential components for artificial intelligence drones are sensors. Sensors are leveraged to collect all the data processed by drone systems, including visual, positioning, and environmental data. This information is then fed to machine learning models to decide how a drone must respond to environmental changes, what objects it should prioritize, and where it can fly. Often sensor data is also utilized after a drone has landed in non-flight-related analyses.
AI allows real-time data streams to be processed in-flight. This offers continuous feedback to operators and internal systems, letting automatic corrections of flight operations or wholesale automation. This potential to apply data in real-time is particularly useful when drones are leveraged to assess unsafe areas for humans. AI allows drones to adapt to conditions that humans cannot. It can also allow operators to gather the information that might be missed by human operators, like small movements in dark areas.