what is auto orientation on a drone - drone4help

 

Automatic orientation is a control process system that drones apply. The system allows the drone to operate independently under the control of the user. Electronic hardware components activate the auto-orientation system that processes information and generate the user interface. These components are the central processor unit, memory, and random access memory.

Auto-orientation only works when there is an active power supply. Once the user activates the drone's power supply, the automatic orientation system begins to re-orient the user's interface. If the control interface is ready, the user can start giving commands to the drone. An example is launching a drone above the ground and starting an exploration of the environment.

Auto Orientation Components:

1. Central Processing Unit (CPU): This is the brain of the drone which processes the auto orientation system. This electrical component is touchable hardware installed on the motherboard. The CPU activates automatic orientation to process and receive information.

 

2. Memory: It is a small touchable electronic hardware component installed on the motherboard. The function of memory is to store and share information. This electronic hardware stores the images or videos taken by the drone's camera lens.

3. Mother Board: The motherboard is the tangible printed circuit board (PCB) found inside the drone. It houses most of the electronic hardware components such as memory and CPU hardware. The motherboard connects the electronic components to activate the auto-orientation processing system.

4. External Memory: This is a removable additional memory component that can be attached to the Universal Serial Bus (USB) port of the drone. External memory provides alternative memory storage if the primary memory storage is already full. An example is the USB flash drive.

Automatic Orientation Importance:

· Automatic orientation requires the availability of a power supply.

Auto-orientation on the drone can't work without a power supply.

• Activates the control system to easily navigate the drone's features. Auto-orientation empowers the processing unit to re-orient the user interface.

• The drone acts independently after following a certain command. Auto-orientation allows the user to make steering the drone a simple task. An example, the controller uses the launch gear to let the drone fly above the ground.

• Automatic orientation improves data processing accuracy. The system organizes the processor and memory functions when sharing and processing information.

• Establish effective communication between the drone and the controller. Automatic orientation processes information to perform a specific task.

• Detection of errors is an important function for automatic orientation on drones. The system warns the user to fix any detected problems before they affect the processing system.

• Automatic orientation regularly updates the current position to the user right after the drone is activated. An example is updating the drone's current battery capacity in percent.

Automatic Orientation Importance:

· Automatic orientation requires the availability of a power supply. Auto-orientation on the drone can't work without a power supply.

Activates the control system to easily navigate the drone's features. Auto-orientation empowers the processing unit to re-orient the user interface.

The drone acts independently after following a certain command. Auto-orientation allows the user to make steering the drone a simple task. An example, the controller uses the launch gear to let the drone fly above the ground.

Automatic orientation improves data processing accuracy. The system organizes the processor and memory functions when sharing and processing information.

Establish effective communication between the drone and the controller. Automatic orientation processes information to perform a specific task.

Detection of errors is an important function for automatic orientation on drones. The system warns the user to fix any detected problems before they affect the processing system.

Automatic orientation regularly updates the current position to the user right after the drone is activated. An example is updating the drone's current battery capacity in percent.

Pros and Cons of Auto Orientation:

Benefits:

1. Automatic Response: As soon as auto-orientation is activated, the system prepares the user interface immediately. The automatic orientation system creates a program to carry out the user's command. An example, the user commands the automatic orientation system to fly the drone vertically into the atmosphere from the ground.

2. Programmed Memory: Automatic Orientation always stores the data in the memory using an analog algorithm system. Auto-orientation automatically processes images, videos, or media clips for storage in memory.

3. Communication: The automatic response system acts as a connector between the processing unit, memory, and other electrical hardware components. The system uses an analog algorithm to store, process, and manipulate data.

Disadvantages:

1. Power supply dependent: Auto-orientation only depends on an active power supply. If the user forgets to charge the drone's battery, the auto-orientation fails to function.

2. Frequent software updates: Auto-orientation systems require frequent software updates. If the user fails to schedule the software for an update, the functionality of the auto-orientation system becomes obsolete.

3. Hacking: Auto-orientation connected to a local access network. There are anonymous users who are able to penetrate the control system of the drone. Hackers can always decode the algorithms of any drone to overrun the device.

4. Power outage: The automatic orientation system experiences error when the power supply is frequently interrupted. Power outage stops the processing system of automatic orientation.

5. Expose confidential information: Automatic orientation puts at risk the confidentiality of data held in memory. If the drone is linked to an active social media account, third parties can manipulate the system to steal and exploit confidential information.

What Is a Drone?

Drones, sometimes referred to as unmanned aerial vehicles (UAVs), carry out tasks that range from the mundane to the ultra-dangerous. These robot-like aircraft can be found rescuing avalanche victims as well as dropping off groceries at your doorstep — and almost everywhere in between.

DRONE DEFINITION: WHAT IS A DRONE?

A drone refers to any aerial vehicle that receives remote commands from a pilot or relies on software for autonomous flight. Many drones display features like cameras for collecting visual data and propellers for stabilizing their flight patterns. Sectors like videography, search, and rescue, agriculture, and transportation have adopted drone technology.

Originally developed for the military and aerospace industries, drones have found their way into the mainstream because of the enhanced levels of safety and efficiency they bring. These robotic UAVs operate without a pilot on board and with different levels of autonomy. 

A drone’s autonomy level can range from remotely piloted (a human controls its movements) to advanced autonomy, which means that it relies on a system of sensors and LiDAR detectors to calculate its movement.

Abstract

A new aerial platform has risen recently for image acquisition, the Unmanned Aerial Vehicle (UAV). This article describes the technical specifications and configuration of a UAV used to capture remote images for early-season site-specific weed management (ESSWM). Image spatial and spectral properties required for weed seedling discrimination were also evaluated.

 Two different sensors, a still visible camera, and a six-band multispectral camera, and three flight altitudes (30, 60, and 100 m) were tested over a naturally infested sunflower field. The main phases of the UAV workflow were the following: 1) mission planning, 2) UAV flight and image acquisition, and 3) image pre-processing. Three different aspects were needed to plan the route: flight area, camera specifications, and UAV tasks. 

The pre-processing phase included the correct alignment of the six bands of the multispectral imagery and the orthorectification and mosaicking of the individual images captured in each flight. The image pixel size, the area covered by each image, and flight timing were very sensitive to flight altitude. 

At a lower altitude, the UAV captured images of finer spatial resolution, although the number of images needed to cover the whole field may be a limiting factor due to the energy required for a greater flight length and computational requirements for the further mosaicking process. Spectral differences between weeds, crops, and bare soil were significant in the vegetation indices studied (Excess Green Index, Normalised Green-Red Difference Index, and Normalised Difference Vegetation Index), mainly at a 30 m altitude. 

However, greater spectral separability was obtained between vegetation and bare soil with the index NDVI. These results suggest that an agreement among spectral and spatial resolutions is needed to optimizes the flight mission according to every agronomical objective as affected by the size of the smaller object to be discriminated (weed plants or weed patches).