Equipped with a variety of sensors, commercial drones are going to end up becoming a new source for digital data. The global Drone Analytic market is anticipated to surge to nearly $7 billion by 2020, owing to the administrative clarification, incessantly reducing component costs and the latest technological advancements that connect drone capabilities to big data analytics.
In January, the U.S. Department of Transportation and Federal Aviation Administration authoritatively reached one million registered drones in US airspace. Enrollment programs are emerging all around the world. In its 2017 forecast, the FAA assessed that automatons will dramatically multiply in size throughout the next 5 years, to more than 3.5 million units by 2021.
While 60% of drone usage currently identifies with communications and media, for example, for filmmaking and photography, new higher-value applications are on their way, as drones have a noteworthy advantage in terms of precision, convenience, and cost over more conventional solutions, for example, satellites and helicopters. Drone-mounted sensors can be used to capture an impressive array of data, paving the way for increased digitalization of in industrial processes.
Drone Detection Analytics:
Fences alone are not enough to prevent intruders from setting dangerous gadgets within the reach of individuals and critical infrastructure. This includes places, for example, modern offices, data centers, stadiums, correctional institutions, air terminals, and military installations, just to give some examples.
Just as the internet paved a new way for hackers to harm organizations by means of a data breach, identity theft, and so on., drones have opened up a new way for similar other situations such as corporate espionage, smuggling, terrorism, and hacking. Accordingly, drones now represent a similar security threat to organizations.
The risk of breaking into control systems or doing physical harm is a threat that organizations are trying to solve by incorporating cameras with applications to give an entire drone detection solution.
How does the technology work in practice?
1. At first, cameras can analyze the video stream with its inbuilt capabilities.
2. The software studies the scene and makes a note of all the considered things, for example, trees, and movement patterns, such as a nearby highway or flying machine directions. The technology comprehends the setting, keeps up a model of the scene constantly, and identifies any unusual activity.
3. The software can then categorize all the objects into a database that encodes visual cues like colors, shapes, and sizes, which is then able to distinguish between drones, helicopters, birds, and passenger aircraft.
4. The video feed is then analyzed on a frame by frame basis so as to determine if an object matches the description in the database and the characteristics of a flying drone.
5. Once the drone has been identified, the software automatically begins recording for future evidence, ensures the clearest line of sight with the drone and its flight path, and alerts security personnel.
For many organizations, drones are quickly becoming a gadget that must be taken into consideration for developing digitalization strategies. Supported by cloud services and big-data capabilities, the phenomenal information-gathering capabilities of drones can possibly and drastically modify the competitive dynamics of the information landscape.