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  • Writer's pictureExtreme Aerial

How AI is Changing the World of Drones


:LiDAR Drone in flight

The Rise of AI in Drone Technology

The integration of Artificial Intelligence (AI) into UAVs is reshaping the landscape of drone technology and its applications. In the last decade, drones have rapidly become ubiquitous, not merely as toys for tech-geeks but in diverse industries ranging from real estate to agriculture and cinematography. In the last few years, it’s AI that has been making headlines and transforming seemingly every aspect of our lives. Chat GPT, released just a year ago, has quickly become ubiquitous. And we use AI - often without even knowing it - when we ask Alexa for help, chat with virtual customer service reps or take advantage of our “smart” home devices. It only seems natural that these two cutting-edge technologies would come together. There is a natural, symbiotic relationship between AI and UAVs. And as AI technology improves (which is happening at an extraordinary pace), the applications will only increase.

As we write this in December 2023, here’s a look at how drones are taking advantage of AI to do more, faster and better.


Revolutionizing Drone Functionality

AI has already had a profound impact on drone capabilities. The fusion of advanced AI algorithms with drones has unlocked a realm of possibilities. Equipped with cutting-edge computer vision, drones can interpret meaningful data from captured images in real-time. This has made possible or improved the functionality of features such as automated real-time mapping, sensory data collection, object identification and movement analysis.


Symbiosis of AI and Drones

The synergy between AI and drones is transformative. Drones provide mobility and flexibility, while AI contributes computational intelligence for intricate decision-making and analytics. Beyond being mere gadgets, drones have evolved into sophisticated machines capable of diverse tasks, from surveillance to agricultural monitoring. The incorporation of Vision Processing Units (VPUs) and neural computer chips empowers drones with on-the-fly deep-learning capabilities, enhancing their functionality without the need for constant internet connectivity.


Autonomous Unmanned Aircraft Systems (UAS)

Thanks to AI, UAS are becoming increasingly commonplace. Unlike manually piloted or remotely controlled drones, autonomous UAS operate independently, performing tasks and making decisions based on pre-programmed parameters or real-time data analysis. This autonomy opens avenues for innovation across sectors such as public safety, disaster recovery, defense, agriculture and more.


Revolutionizing Industries

Fully autonomous drones can revolutionize many industries, offering capabilities from takeoff to landing, data capture to post-flight analysis. The integration of AI and autonomous flight enhances work efficiency, reduces errors and elevates service quality. Advanced drones now perform well in hazardous conditions such as tiny passageways, darkness, extreme heat and other challenging environments; this is extremely beneficial for gathering important information that humans couldn’t otherwise access.


Hardware Advancements and Image Processing

The progression of drone technology is not solely reliant on AI. Hardware innovations, from enhanced battery life to advanced sensors like LiDAR and thermal cameras, play a pivotal role. Image processing, especially in emergency response scenarios, benefits from rapid offline mapping capabilities. Software solutions, exemplified by Pix4D react, can swiftly process data and generate essential maps from drone imagery.

Slam LiDAR drone image of trees

Object Detection and Connectivity

Object detection, a crucial aspect of mapping, is empowered by AI algorithms, enhancing accuracy in analyzing drone images. Connectivity advancements, including 5G and low-Earth-orbit satellites, enable real-time data transmission and remote piloting over vast distances. At Extreme Aerial, we use Emescent SLAM LiDAR to create 3-D maps for customers in hard-to-reach places. The AI-powered drone can fly using its own point cloud in GPS-denied environments.


Applications Across Industries

The integration of AI into drone technology has far-reaching applications across diverse industries:

  • Agriculture: AI-enabled drones monitor crops, and detect issues like pests, diseases, or nutrient deficiencies, facilitating real-time corrective measures.

  • Construction: Drones equipped with AI collect data on construction sites, providing insights into topography, progress, and safety compliance.

  • Delivery Services: I-driven drones deliver goods to remote areas, overcoming transportation challenges and reducing delivery time and costs.

  • Military and Security: AI-enabled drones play a crucial role in reconnaissance and surveillance, equipped with sensors and cameras for intelligence gathering and threat detection.


The marriage of AI and drone technology is propelling us into a future where drones operate more autonomously and efficiently than ever before. These advancements promise to revolutionize industries, streamline operations, and offer innovative solutions to complex challenges. As we embrace the era of AI-driven drones, the possibilities for transformative applications continue to expand, shaping the world of technology in unprecedented ways.


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