Until now, the professional use of drones is mostly still in an experimenting stage. However, drones are one of the golden nuggets in IoT because they can play a pivotal role, for instance in congested cities and faraway areas for delivery. Further, they can be a great help to give an overview of a large area or for places which are difficult or dangerous to reach.
In one of our previous blogs, we concluded that sensor measurement has mostly been a case of trial and error. In this blog, we list some of the challenges we see for sensor measurement which has to be solved to bring the professional use of drones to full maturity.
Practical challenges which can and must be solved with sensors
Here are some of the challenges we have found:
- Risk of colliding, with other drones, birds and other air users. Just like other traffic
- And at point in time, some traffic rules have to be set in place. Sensors can help to let the drone follow these rules
- How drones can stay on course, even with wind
- Preventing drones to cross over forbidden (known) areas and unexpected ‘wrong’ areas (e.g. a building or a wood on fire)
- Challenges with unloading the package:
- Without damage
- Without harming people, animals, buildings
- How the drone will know that the right person gets the package? Can we prevent dogs from biting the package?
- How to prevent a package from falling? How to alert that a package will probably fall? Or maybe the drone itself? If so, measurement can be taken. Already, there are experiments with self-destruction. But maybe more practical solutions can be found to let the drone aim for a ‘safe area’, such as a park, river, etc. for an ‘emergency landing’.
In all cases, ASN Filter Designer can help with sensor measurement with real-time feedback and the powerful signal analyser? How? Look at ASN Filter Designer or mail us: email@example.com
Do you agree with this list? Do you have other suggestions? Please let us know!
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