Join our Pitch at Tuesday, 21st of July
during the final event of SIL

simple


with a few clicks you can update your Warehouse Management System

lightweight


our indoor navigation does not depend on any gear to be installed in your warehouse

autonomous


only one drone, no personal, no forklifts

Demo

Autonomous Flight

The drone flies inside the aisle, checking the stock in both racks simultaneously

Visual Navigation

Working with Neural Networks, we created a Navigation System completely independed from other gear. All needed to localize the drone are its onboard cameras.

Barcode Reader

compatible with all standart barcodes and QR-codes

Full/Empty Detection

don't only document where your goods are placed. The full/empty-detection finds empty cells in your rack.

Comprehensive Documentation

In the GUI you can take a look at all the information and view a picture of the cell.

our team

27650576_1960068847355765_179221138_o


Boyan
Boychev

Master Student of Electrical Engineering and Information Technology with focus on System engineering


Jonas
Kälble

Master Student of Electrical Engineering and Information Technology with focus on Signal Processing
Max


Maximilian
Schwind

Master Student of Electrical Engineering and Information Technology with focus on Automation and Robotics
rpt Processed with VSCO with a7 preset


Wang
Ran

Master Student of Electrical Engineering and Information Technology with focus on Information and Automation

ABOUT us


Interested in the project or our ideas? We are always up for a chat!


Our project is a part of the Student Innovation Lab at KIT