Some future drone applications, such as search and rescue, offshore natural resource explorations, and utility inspection, among others, would necessitate larger drones to accommodate larger payloads.
Fremont, CA: The ability to combine sensor-generated data with powerful computational tools opens up a slew of commercial and industrial drone applications, from streamlining work processes to cutting costs on time-consuming manual labor.
Despite the negative associations and myths surrounding drone technology, the pace at which it has transitioned from war zones to retail stores has been incredible. Here are four popular technology trends in the drone industry:
The ability of 3D modeling technologies to capture drone information in imagery and radar/light detection and ranging (LIDAR) data and translate it into full topological models allows for surveying and monitoring the landscape and its objects. Thus, improved sensors, high-definition cameras, and computer algorithms are gradually being built into drones to compress images into 3D virtual images and allow easy detection of anomalies.
Drone manufacturers are working to scale drone technology to provide greater carrying capacity and endurance and low-cost, small-footprint surveillance drones. Sensor miniaturization reduces the total size and weight of drones while also lowering their power requirements.
Some future drone applications, such as search and rescue, offshore natural resource explorations, and utility inspection, among others, would necessitate larger drones to accommodate larger payloads. This aspect is also driving electronic device miniaturization.
Drones can collect an increasing amount of data, which will necessitate more sophisticated data analysis. AI allows drones to learn indefinitely using techniques like machine learning, allowing them to perform complex tasks like autonomous flight and obstacle detection and avoidance. Although the industrial sector is a major market for AI-enabled drones, service sector companies are also competing for AI-enabled drones to create new business models.
Drones' control centers are microprocessors, which provide an interface for control and communications software that incorporates collision avoidance sensors, high-definition cameras, and other sensors. Advances in chip design, aided in large part by the cell phone industry, are resulting in smaller chips with higher performance and lower cost, lowering the cost of drone production.