10 Best Features In Your Drone Delivery App That Are Must

Drones have enormous cargo delivery potential. We anticipate that drone cargo delivery will become a reality in everyday life with positive changes in government policies and appropriate use case scenarios. The proposed drone delivery concept includes the use of AI to intelligently route the drone as well as an app that tracks the UAV flight. The drone, in addition to being intelligent enough to arrive at the destination quickly and efficiently, also performs a proof-of-delivery scan to authenticate the user before delivering the product.

Free Trial Feature

Your Drone application should provide its user base to have a free trial feature for a limited period. In that way, you can attract and keep potential users to your app.

Pathway For Your Drone

Typically, the user will order the product through an online portal or an E-commerce app. The order will be processed by the E-commerce app using their respective system. The e-commerce application will make use of our drone application as part of the overall system for delivery. Your proposed system will handle the entire delivery process. When the drone is within 500m of the receiver, the user will be notified of its presence. You can add a route for your drone using a checkpoint plan. Given that you are testing a medical delivery system, you use the mission plan to define routes to all of the medical centers to which you wish to deliver.

Virtual Drone Tracker

Your free trial account should accommodate virtual drones. If you don’t have a drone, you can add a virtual drone. You can only have one virtual drone during your free trial which moves along the map with your actual delivery drone.

Return To Origin Feature

In addition to defining a route, you can specify a flight speed and a Finish Action. The Finish Action instructs a drone on what to do once it arrives at its destination; you can specify the following actions.

• Hover
• Land
• Return to Origin

In this case, we have indicated that the drone will drop the payload and return to base by using the Return to Origin command.

In-app Checklist For Pre-flight Preparations

You can use this feature to create a pre-flight checklist. A checklist will ensure that a drone is properly configured before it is sent out on a mission in the case of a delivery operation.

Geofencing

A geofence allows you to define a perimeter for your operations. This will restrict the drones to fly beyond the boundary once you have set one. You can provide your users with the utility of determining the height and range with your delivery drone app determining its periphery.

A geofence is made up of two circles. A warning zone is defined as the area between the circles. When a drone crosses the first circle, the system issues a warning, but the drone is not allowed to go beyond the second circle.

Live Video Feed

The dashboard allows you to view a drone’s video feed. When a drone is out on a delivery mission, this feature comes in handy. This allows you to assess a flight mission visually.

Third-Party Sharing

You can share live drone locations and video streams with anyone who is not a member of your platform. This feature is particularly useful when you want to share tracking information with a recipient, which could include a live video feed from the drone.

Detection of Obstacles and Avoidance of Collisions

Obstacle detection and collision avoidance systems are in high demand in the expanding drone delivery market. And, as the FAA allows more drones to operate BVLOS, the need for drones to autonomously avoid collisions with objects and other aircraft becomes increasingly important. This is because such drones operate outside of the pilot’s visual range.

AI will eventually support hundreds of drone operations within a UTM system, which will necessitate the detection of other aircraft and the subsequent change in the flight path to quickly and accurately replicate the decisions a pilot would make while looking out the cockpit.

GPS-Free Directions

When creating a mission for a drone, programmers use a combination of machine learning, deep neural networks, and reinforcement learning to train the drone. It is to make a series of decisions in an uncertain and potentially complex environment.

The drone’s computer vision and sensors enable it to explore complex environments, including areas around skyscrapers and bridges. Using visual sensors and an inertial measurement unit, AI will allow the drone to continue navigating its path. Once the operator has established a flight plan, the drone can determine the safest route to its destination.

Emergency Landing and Contingency Planning

In the event of an emergency or an unforeseeable event, AI-enabled live data processing systems make predictions. These are based on variables such as the drone’s current position, energy state, altitude, and wind speed. Then apply an algorithm to steer the drone to a safe landing site or hover in the same area until conditions change.

In the event of a forced landing due to system or flight failure or emergency conditions, image sensors and AI-enabled object recognition software can assist the drone in locating a safe landing location.

Final Thoughts

Drones delivering packages is an entirely novel concept for many people involved in the e-commerce industry. While half of the online shoppers are excited about drone delivery, the other half are concerned. This is due to the fact that such options are not widely available everywhere. As more e-commerce companies opt for drone delivery, it will serve as a more streamlined delivery service.