Last Mile Project
Many attempts have been made on an international scale by large companies and multi-nationals to develop models for last mile parcel delivery with UAVs (Drones).
All of them in medium and large urban areas.
None of these projects, so until now, have been successful.
All these projects had several common denominators that we believe, after a long study of the international state of the art, have led to their failure.
Here we express some of the errors that we have detected and that our model solves:
- Carried out in urban areas of medium and/or high density of buildings and people.
- Very restrictive legal regulations in urban or densely populated areas.
- Controlled by people or groups of people manually.
- Very limited on-board software or no decision making intelligence.
- Dependence on very low flight range or flight time.
- Lack of recharging infrastructure and signal relay-repeaters for medium- and long-range control.
- Excessive human dependence in their control.
- Legal problems, in the USPACE, for last mile delivery in medium and high density urban areas.
> Our Project: LAST MILE IN RURAL AREAS 2.0
Thanks to the studies performed in recent months, the last mile delivery project led by our company will be carried out in rural areas with low population density.
It integrates the following technological and technical objectives:
1.- Desktop system for drone management and control.
2.- Hybrid autonomous drone (UAV) with on-board AI (Neural Network).
3.- Implementation with artificial vision by means of camera with three-dimensional depth sensors. And stereoscopic.
4.- Mixed data transmission and reception system to drone network.
5.- Re-transmission of 2.4 and 5G frequencies. More 4G and 5G area in our own towers and those of project partners.
6.- Drone recharging towers for receiving and sending parcels.
7.- Low-cost towers for the reception and dispatch of parcels with semi-manual IOT technology.
8.- Analysis of the possibility of satellite-assisted control.
9.- Fleet management software and tasks by Drone.
10.- Software for parcel management with APP for customers.
11.- Autonomous application for surveillance and intelligent aids. By means of AI in development and self-learning of tasks. The aim is to specialise by tasks and type of work. Modes.
IA Embedded Solution and real 3D Vision
Two of the basic objectives of the project that affect the morphology of our drone are the implementation of artificial vision by means of a camera with three-dimensional depth sensors. And stereoscopic y hybrid autonomous drone (UAV) with on-board AI (+Electric option) (Active Partner: SDLE).
Development of hardware with Embedded Neural Network to enable the Drone to be Autonomous, we will opt for a Hybrid model similar to the one used in the most advanced electric cars.
UZH Robotics and Perception Group Image Vision Drone Project. Zurich Univérsity. Future Partner.
Project Information
PROJECT PARTNERS
