Viewing drones as a new disruption in the block wouldn’t be the right connotation to use, as they have become the new normal for reaching and covering every nook and corner of a geographic location.
Until a few years from now, drones have been viewed as unmanned aerial vehicles (UAV) operated through a software module equipped with GPS and sensors for noncommercial purposes. However, the scenario now has improved. Thorough application of AI drones is underway for various purposes.
Aerial photography and video capturing is popular in the application via drones. Soon drones can be expected at the doorstep or more precisely, at the rooftop of the house or commercial complex, delivering customer packages. Not only this but AI-drones are being utilized for accessing the location, often dangerous for humans to reach. Let us explore further, how drones are changing the business landscape.
About AI-Drones
In application, drones are simple unmanned machines that are capable of performing their jobs without having to handle too many complexities. The infrastructure to erect a drone delivery mechanism works with satellite, internet, radio signals, and ground control station to facilitate hassle-free operability. This refers to station-based operability. There are also embedded and cloud-based drone solutions in application. Embedded drones work with more autonomy and can process data in real-time while cloud-based drone solutions are integrated for data-heavy tasks.
Primarily, drones are being used for the following tasks:
- Object mapping (detection, counting & tracking)
- Face detection & recognition
- Thermal detection
- Real-time data analysis & transmission
While the mechanism to capture visuals is powered by AI-led computer vision technology, most AI drones are trained on labeled trained data of images which helps them understand their surroundings; accordingly, they capture and process the information for specific purposes.
AI-Drone application across fields
In the past years, the idea of implementing drones for commercial and specific purposes has gained traction. Starting from 2012, the concept for drone delivery is being juggled by giants like Amazon PrimeAir, DHL, UPS, especially for reaching out to last-mile customers faster and executing targeted same-day deliveries of retail goods. If retail or e-commerce clients carry out customer deliveries through existing processes and depend upon the supply chain, then manual transportation costs will require continuous work. Also, human management will limit the business to scale its operations. In comparison, adding drone-based deliveries and UTM (unmanned traffic management) has helped in opening new avenues for managing logistics and exercising more control over the demand and delivery.
On similar lines, drone applications and use cases are diverse. AI Drones enabled with training data for object detection, and tracking has a significant role to contribute to segments such as disaster management, public works, building and construction, mining, urban planning, wildlife conservation, security and surveillance, and law enforcement. Taking an example, AI drones are playing an instrumental role in controlling the aftermath of damage caused by natural disasters like tornadoes and cyclones. The imagery captured by the drones is mapped by the AI program and related insights about the damage in the form of geospatial data are sent to concerned authorities to access the scenario and prepare restoration ops. This data is also helping the authorities save thousands of lives.
Concurrently, the economic development of sectors like agriculture is being accelerated by AI Drones. Drone-driven monitoring is benefiting farmers and firms engaged in crop production and agriculture by monitoring the landscape for plantation. Data trained drones can sight fragments of land having fructified crops or detect bad crop scenarios, beforehand. This is preventing the farmers from dwindling under loss of produce and also curb the loss of revenue.
Some crucial activities are also being done by AI drones. They are also enabling organizations engaged in scientific research to identify volcanic activity and flooding predictions. The data captured has been helping authorities in raising alarm on-time and rehabilitation efforts for large populations.
Hovering Ahead
IoT has kickstarted an age of innovations and connected digital ecosystems. It is easier to imagine connected network architecture with IoT and AI-driven automation. The drone trials are underway in many cities across the world. Sophisticated drone deliveries with Live HD video sharing, collision avoidance, automated routes and redirections, landing and hovering functions are being offered by several commercial entities, on a limited scale.
When the digital landscape has evolved with Artificial intelligence, the scope to introduce IoT-enabled devices has widened. AI-Drones hold the potential to reduce carbon footprints and ease out traffic pressure from the public roads by delivering goods on-demand. AI-Drones have not only added to one segment of business but also added to managing crucial tasks like – Geographic mapping, building safety inspections, search and rescue operations, unmanned cargo transport, law enforcement, and surveillance, logistics, and delivery, which would be otherwise tough to conduct and beyond human capability to carry out.
