Applications in Drone Technology: The Important Role of Computer Vision

Computer vision technology is widely used in drones

These use cases enable businesses to use drones for several purposes.

Over the past few years, drones have become increasingly popular in various fields including retail delivery, videography, real estate photography, and land surveying. According to a study, the commercial drone market is expected to grow further in the coming years. Therefore, the application fields of drones will only increase in the future. Computer vision is an integral part of drones, also known as unmanned aerial vehicles (UAV). Here are some important use cases for computer vision in drones that allow enterprises to use drones for a wide range of applications:

1. Real-time object and person recognition

Businesses can use drones to Personnel recognition is performed by humans and machines, thereby increasing safety. This computer vision application automatically simplifies security analysis and scanning of individuals as they enter a classified facility. In this way, drones can assist security personnel in large organizations where, at any given time, several people are entering or leaving the facility. Applications of computer vision-driven person recognition can also be used for crowd management in smart cities. Object recognition, on the other hand, allows smart city administrators or businesses to monitor vehicles. Therefore, traffic monitoring is simplified through computer vision in UAV systems.

In law enforcement, both object recognition and person recognition are widely used. This allows police agencies to track incidents such as stolen cars in desolate areas where there are no security cameras or when chasing fugitives. Generally speaking, CCTV cameras in smart cities have the function of identifying objects and people

2. Avoiding collisions

When drones fly in designated areas, they can easily collide with birds. Classes, cables, high-rise buildings or other drones collide. Such a conflict could cause serious damage to the drone and negatively impact its functionality. Dynamic object recognition on drones can detect rapidly approaching objects or determine if a collision with a stationary object is imminent. In this case, the drone can automatically change direction or altitude to avoid a collision. Computer vision is the main technology driving this detection and response mechanism of drones

3. Violence detection

Artificial intelligence and computer vision in drones can help by simplifying the captured video footage Real-time analysis to realize the automation of smart city security monitoring. A team of researchers in the UK and India have collaborated to develop a quadcopter that can capture and transmit video footage for law enforcement surveillance. Such a system could be configured to conduct behavioral analysis of crowds in smart cities. Machine learning algorithms can predict violent behavior by individuals or groups in smart city areas. Once such behavior is detected, drones can instruct nearby law enforcement to dispatch troops and control the situation. As with any type of surveillance, businesses and governments need to ensure that the way they use drones does not violate privacy.

Reworded: Now, one might think that smart cities already contain several CCTV cameras and sensors to capture visual data. Why is it necessary to use drones? First, drones are mobile, allowing them to silently enter areas beyond the reach of static cameras. Additionally, drones can cover areas with low network coverage or lack of cabling infrastructure. Therefore, drones offer more solutions to smart city authorities and businesses. As mentioned earlier, computer vision is at the core of all drone operations. Therefore, it is certain that computer vision applications in drones will further increase in the foreseeable future

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