How to Ensure Drone Delivery Failure? Cheat at IoT testing!

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How to Ensure Drone Delivery
Failure? Cheat at IoT testing!
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How to Ensure Drone Delivery Failure? Cheat at
IoT testing!
Primarily used in military operations, drones
have been around since as early as 1910s.
Realizing the potential of drones in the
commercial sector, Federal Aviation
Administration (FAA) started releasing permits in
2006 for non-military applications. This window
of opportunity opened by FAA has gushed in an
overwhelming wave of enthusiasm, innovations, and
investments in the drone technology. With Amazon
preparing to employ a drone-delivery system and
Uber Eats collaborating with Uber Elevate to
facilitate food delivery, we can expect to see
unmanned, autonomous drones flying in the skyline
in the near future. As flying cars are already
being tested, self-driving cars are all set to
get on the road, smart cities and smart homes are
becoming a reality, we are well on our way to
create our very own Orbit City, straight out of
The Jetsons. If a drone delivery system can be
successfully implemented, it will be beneficial
in transmitting critical packages such as
temperature-dependent medicines to remote or
disaster-struck areas. Note that we are not
talking about a very distant future. It is
happening right now, even as we speak. Many
products are under trial, others are being
developed, striving to revolutionize the
logistics industry as we know it. A global
e-commerce enabling company, UPS has applied to
obtain FAA permit to operate its commercial
drone-delivery subsidiary known as UPS Flight
Forward. UPS is looking to utilize this system
to perform healthcare-related deliveries. Drone
delivery system can end the reliance on courier
cars while providing a faster, cheaper
alternative to carry out time-bound, urgent
logistic operations.
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How to Ensure Drone Delivery Failure? Cheat at
IoT testing!
Recently, fully-autonomous drone trials were
conducted by a consortium involving Direct
Relief, Merck, Softbox, ATT, and Volans-I to
deliver cold-chain medicines and vaccines to
hard-to-reach locations, crossing over even open
water bodies. For ascertaining an effective
delivery, the drones were monitored using remote
IoT sensors while using continuous temperature
tracking and cloud-based, real-time analysis. In
the past, drones were controlled and navigated by
a manual operator. Today, with advancements in
Artificial Intelligence and IoT, drone operations
can become completely autonomous. A
fully-autonomous drone would require a working
internet connection, GPS system,
vehicle-to-vehicle as well as non-collaborative
sensor-based sense-and-avoid systems to realize a
delivery successfully. The numerous sensors
needed for its functioning need to be in complete
tandem with each other, relaying the relevant
information as and when needed. The IoT reliance
for drone-delivery systems   The need to realize
expectations placed on the modern drones mandates
capturing and processing of real-time data. In
order to achieve such a level of sophistication
in the drone delivery systems, a plethora of IoT
components involved different sensors and
cameras. These components engage in a
collaborative relationship where they empower the
existence and functioning of each other. For
drone deliveries to become the norm, the most
critical aspect is guaranteeing a flawless
fulfilment of Beyond Visual Line of Sight (BVLOS)
operations.
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How to Ensure Drone Delivery Failure? Cheat at
IoT testing!

• An IoT system of a full-functional, completely
  autonomous, UAV with computer vision would
  include two main components Sensors and
  wireless connectivity to facilitate
  self-navigation, object detection, and collision
  avoidance.
• Light Detection and Ranging (LIDAR) Sensor Also
  used in the autonomous vehicles, LIDAR is used to
  measure distance by a drone to any object. LIDAR
  uses laser reflection mechanism to understand how
  far an object is, thus, maintaining the necessary
  gap.
• Thermal Imaging Camera Essentially an extension
  of the heat detection technology, a thermal
  imaging camera detects the heat radiated by
  surrounding objects based on their temperature.
  This allows drones to form a 3D image of the
  landscape in which it is operating.
• Hyperspectral sensors These sensors place the
  vicinal objects on the electromagnetic spectrum
  based on the wavelengths on which they interact
  with the light. The spectral and radiometric
  accuracy yielded by these sensors inculcate
  precision to a drones flight.
• Photogrammetry Drone photogrammetry technique
  creates a roadmap for the UAV for the entire
  flight based on the images captured. The images
  are processed and stitched together to layout the
  route.
• Obstacle detection sensors The legacy drones are
  incapable of detecting road obstacles, causing
  them to collide with them and crash. Obstacle
  detection sensors utilize any combination of
  vision, ultrasonic, infrared, ToF to identify

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How to Ensure Drone Delivery Failure? Cheat at
IoT testing!
obstacles on the path and divert their
route. Complete autonomy of drones for near as
well as BVLOS deliveries can become a far-fetched
dream if all these components fail to interact
with each other optimally. Entrusting the
Unmanned Aerial Vehicles (UAVs) or parcelocopter,
as the drones used for delivery are commonly
called, is a huge gamble. The interconnected web
of devices and network have a heavy dependability
on the smooth functioning of each element
involved in the IoT ecosystem. If even one
segment were to go off or to stop working at a
moment, the entire drone delivery system can go
haywire, causing chaos everywhere resulting in
non-traceable drones, missing couriers, and lost
faith in the entire system. Conclusion IoT
testing is necessary to maintain a seamless
operational flow. The drone delivery systems
under trial at the moment underwent rigorous
testing phases before reaching the current stage.
If the manufacturers slacked in performing their
part of IoT testing, the drone delivery systems
will become a failure before they even reach the
market. Or if they do, the subpar performance
will cost the drone companies their reputation.
These failures will not only cause aversion of
customers to that particular company but will
also fuel the ongoing skepticism regarding the
capability of drone delivery systems. Read Full
Blog at https//www.cigniti.com/blog/iot-testing
-drone-delivery/

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