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Drone tech in construction sector
Drone tech in construction sector

June 13, 2021

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There are a number of potential uses for drones within construction, such as the ability to survey projects through the use of drones in comparison to more traditional means of surveying.

Listed below are the key technology trends impacting the drones industry theme, as identified by GlobalData.

Scalability

To improve flight performance and expand the capabilities of their drones, drone manufacturers are working on scaling drone technology up on one hand, to deliver greater carrying capacity and endurance, and down on the other to deliver low cost, small footprint drones for surveillance. The miniaturisation of sensors helps to cut down the overall size and weight of drones and reduce their power requirements.

Processor chips

Microprocessors serve as the control centres for drones, providing a platform for control and communications software that integrates with collision avoidance sensors, high definition cameras, and other sensors. Advances in chip design, driven in large measure by the mobile phone industry, are leading to smaller chips with higher performance and lower cost, which in turn helps to drive down the manufacturing cost of drones.

3D Technology

The ability of 3D modelling technologies to consume drone data in the form of imagery and radar/Light Detection and Ranging (LIDAR) data and convert it into complete topological models makes it possible to survey and monitor the landscape and the objects within it. Whether the application is the surveying of structures like bridges, buildings or the monitoring of farmland or forestry, drones are increasingly being integrated with improved sensors, high definition cameras and computer algorithms that can condense the images into 3D virtual images and enable easy assessment of anomalies.

Artificial Intelligence (AI)

The growing volume of data gathered by drones will create demand for increasingly sophisticated analysis of that data. To effectively process incoming sensor data and draw meaningful conclusions drone solutions need to make use of the latest data analytics technologies. Additionally, AI enables ‘continued learning’ for drones through techniques like machine learning, in order to enable complex capabilities like autonomous flying and obstacle recognition and avoidance.

Manned Unmanned Teaming (MUM-T)

MUM-T is described by the US Army Aviation Centre (USAACE) as: ‘The synchronised employment of soldier, manned and unmanned air and ground vehicles, robotics, and sensors to achieve enhanced situational understanding, greater lethality, and improved survivability.’ Currently, MUM-T capabilities are most commonly deployed on rotary platforms such as the AH-64E, which receives a range of data from unmanned platform, expanding the capabilities of the team as a whole.

Drone swarm technology

The need to manage and control multiple drones in close proximity will become more acute as the number of active drones grows. Cisco is promoting the concept of connected drones that can be controlled via a cloud-based infrastructure. The company argues that the ability to manage multiple drones simultaneously will enable faster data collection over vast areas, coupled with simultaneous data processing to deliver timely and accurate data. Currently most of the data generated by drones is transferred to cloud systems for users to access and analyse, often not in real-time.


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NatashaSharma

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