Advancements in computer vision and the integration of advanced AI-powered computer vision algorithms have substantially widened the range of tasks that drones can perform, making them more versatile and capable than ever before.
Utilizing cutting-edge advancements in computer vision, UAVs (Unmanned Aerial Vehicles), also known as drones, now have the ability to interpret meaningful data from the images they capture. This has given rise to innovative features such as automated mapping, collection of sensory data, object and individual identification, and analysis of movement.
The Symbiosis of AI and Drones
Drones and AI form a synergistic relationship where each technology amplifies the capabilities of the other. Drones provide the mobility and flexibility needed for a variety of tasks, while AI contributes the computational intelligence required for complex decision-making and analytics.
No longer just toys or simple gadgets, drones have evolved into highly advanced machines capable of performing a variety of tasks ranging from surveillance to agricultural monitoring. For instance, drones outfitted with Vision Processing Units can be directed to capture close-up images from specific angles. When combined with AI technology, these drones can aid in identifying structural damage in buildings. Neural computer chips enable the execution of deep-learning calculations and image recognition locally, eliminating the need for an internet connection while the drones are in flight.
Autonomous Unmanned Aircraft Systems (UAS)
Autonomous Unmanned Aircraft Systems (UAS) are a subset of unmanned aerial vehicles (drones) that operate without the need for human intervention. Unlike manually piloted or remotely controlled drones, autonomous UAS have the ability to perform tasks, navigate, and make decisions on their own, often based on pre-programmed parameters or real-time data analysis.
Unmanned aircraft systems (UAS), currently provide a diverse array of services spanning over multiple sectors. These sectors include but are not limited to public safety, disaster recovery, climate observation, defense, real estate, agriculture, infrastructure assessment, medical supply, and cargo transportation, as well as the entertainment industry.
Fully autonomous drones are set to revolutionize various industries with their capabilities, including taking off, following pre-loaded instructions, tracking moving targets, avoiding collisions, capturing data, landing, performing post-flight analysis, and storing valuable information. The integration of autonomy into drone operations has the potential to significantly improve work efficiency and productivity. Multiple drones can manage repetitive tasks, enhance the accuracy of operations, reduce the likelihood of errors, and elevate the quality of services provided.
UAS exhibit the capability to operate effectively even in hazardous conditions, including darkness, extreme heat, and other demanding environments that could pose significant risks to a manned aircraft.
Hardware Advancements
The field of drone delivery is expanding due to rapid technological advancements, low-power CPUs, and controllers, and the interest of high-tech companies in this application. From enhanced battery life to more robust sensory equipment, hardware innovations are significantly impacting the way drones function and are deployed in various sectors.
Image Processing & Mapping
The pace at which aerial imagery is processed, along with the resolution of the imagery and the accessibility to the technology, has witnessed significant growth. AI and deep learning can significantly enhance mapping; tasks include classifying images, detecting objects, and segmenting images. Image classification labels images or videos into categories, like identifying a cat in a picture. For mapping, this helps sort geotagged images.
This progress in computer vision has immense value, particularly in emergency response scenarios. In such cases, there is often an urgent need to generate Orthomosaic maps or actionable data for time-critical missions. These missions require rapid decision-making on-site. The capability for offline mapping becomes crucial, especially given the frequently limited communication availability in the field.
In the present day, robust software solutions exist that can swiftly process data across various formats and automatically generate orthomosaic maps in either 2D or 3D using drone imagery. For instance, UNICEF employed Pix4D react in Malawi to swiftly create 2D maps from aerial imagery within minutes. (https://www.pix4d.com/blog/pix4dreact-drone-mapping-emergency-response/)
Sensory Equipment
The evolution of sensors like LIDAR, thermal cameras, and multispectral cameras is enhancing drones’ capabilities.
These advanced sensors are making it possible for drones to capture more detailed data, making them valuable tools for industries like agriculture, environmental monitoring, and public safety.
Object Detection
Object detection is a computer vision technique that uses artificial intelligence to identify objects in images or videos. Object detection finds objects in images, these tasks are crucial for mapping as they analyze drone images, locate objects, and mark their positions on a map. Upcoming AI algorithms will be more adept at recognizing a wider range of objects with greater accuracy. This will have significant implications for sectors like defense, policing, and wildlife monitoring.
Drone imagery has proven to be highly effective in producing accurate two-dimensional maps, elevation models, thermal maps, and three-dimensional maps. Generally, the process of mapping using drone imagery does not require the incorporation of machine learning algorithms.
Battery Technology
Looking forward, the drone delivery industry is set to expand, fueled by advancements in battery technologies such as hydrogen fuel cells and an increased capacity for carrying heavier loads.
Given the potential challenges in transportation due to issues like deteriorating infrastructure, roadblocks, and flooding, drones can be particularly effective for “last-mile” delivery solutions. They offer a way to bypass hurdles by transporting small payloads quickly over short distances. As an example, the humanitarian organization Wings for Aids has engineered drones capable of carrying up to 20 kg in payloads, which can range from food and water to shelter kits and medical supplies.
Connectivity
The integration of advanced communication systems, including 5G and low-Earth-orbit satellites, is enhancing drones’ connectivity, allowing for real-time data transmission and remote piloting from great distances.
The intersection of these hardware advancements with software capabilities like AI promises a future where drones can accomplish tasks more autonomously and efficiently than ever before.
Written by Wicar Akhtar
Get some quotes for a drone operator
âś” 100% free serviceâś” Featured in the SMH, The Age & WA Today
âś” 1,800+ online recommendations
