Drone with AI: Like Eye-in-The-Sky

Drone with AI: Like Eye-in-The-Sky

By Manufacturing Technology Insights | Thursday, May 23, 2019

Drone FREMONT, CA: In the technological arena, artificial intelligence and drones are a match. The combination of AI's real-time machine learning technology with unmanned drone exploratory functionalities gives ground-level operators a human-like eye-in-the-sky. Drones play an important problem-solving role in a variety of sectors more than ever before—including defense, agriculture, relief from natural disasters, security, and construction. Drones have become important to everyone, from firefighters to farmers, with their ability to increase efficiency and improve safety. In fact, smart UAVs are so popular that they are now being used around the world on more than 400,000 job sites. Until recently, however, drones could only display what was captured by their cameras. Now, they can perceive their surroundings which allows them to map areas, track objects, and provide real-time analytical feedback.

As drone technology is increasingly developing and spreading, the availability of high-resolution images used for various tasks such as maintenance, surveying, mapping, and monitoring is steadily increasing. Many established software companies are on the market delivering intelligent data analysis strategies to make unstructured drone data "actionable" and gain meaningful insights without time-consuming manual analytics.

To uncover and decipher hidden patterns, Pix4D has added specific machine learning features to robust algorithms that help patients achieve a more accurate diagnosis and targeted treatments. In an automated mission, Skycatch's system can use deep learning models to identify and track assets and material deliveries across an active building site. Live tracking like this can anticipate delays and learn, over time, how to prevent them from saving a lot of money from the construction companies. Westpac Group based in Australia offers Shark Spotter, a system that uses drones equipped with object recognition to detect shark signs in the water. The team created the algorithm based on a sophisticated deep-learning paradigm that serves as the backbone for the real-time system for shark detection and recognition.

Further use and development of these powerful smart data processing tools will help significantly reduce the processing time of big data, which today is a huge challenge. Data analytics software is being deployed in all relevant industrial sectors within a variety of drone applications. Ironically, in some of the more mature industries, more software developers are working than in others. Insurance, agriculture, real estate, and transportation are all sectors that seek and gain access to analytical software more and more.

Although AI-powered drones have certainly been a breakthrough, they can inflict damage on a large scale. Smaller drones, for example, might raise concerns about privacy. Although science and technology can inflict a lot of possibilities, depending on the purpose, they are used to serve, and they can be a boon or curse.

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