Custom-fit
Freight pallets
AT ANY TIME

Optimize the efficient use of cargo space

Optimized processes & Ressources

With IKARA CargoFit, cargo pallets can be custom-built and prepared for air freight. Through 3D measurement, packages are tracked in real-time and checked for fit within predefined contours. Pre-existing contours can also be verified. Visual feedback indicates whether the package is too large.

Ensure precise invoicing and prevent service interruptions with the computer vision-based ULD measurement. Optimize the efficient use of cargo space. Our computer vision-based ULD measurement was developed in collaboration with experts from Lufthansa Industry Solutions and addresses critical issues for logistics companies.

Conformity

The conformity of ULDs with shape and volume limits is crucial for air freight logistics. Violations can significantly disrupt the loading process or lead to loss of revenue.

Delays

Accurately measure the volume and dimensions of ULD pallets to ensure proper fit, preventing delays in processing during setup. Guarantee correct volume-based billing.

Measurement

Measuring ULD pallets before shipping ensures they meet size requirements to avoid volume waste and minimize discrepancies between declared and actual volume.

Form

Die ULD-Auswahl ermöglicht die Bestimmung der zu messenden ULD-Form, während der Überhang-Indikator herausragende Objekte anzeigt, der Füllstand das belegte Volumen in Prozent darstellt und ein Kameramonitor einen Live-Stream zur Überwachung bietet.

How it works

Precise depth cameras mounted on a framework capture a detailed point cloud of the pallet to create an accurate 3D representation of the goods. This data is then analyzed by artificial intelligence, which, using IKARA’s proprietary optimization algorithms, determines the exact shape of the pallet.

Based on this analysis, the system calculates the volume and dimensions of the goods, which can then be compared to the specified ULD requirements. This allows for early detection of discrepancies between the actual and planned shape, enabling adjustments to be made and ensuring efficient use of cargo space.

Detailed capture of the pallet using depth cameras

Precise depth cameras capture a detailed 3D image of the pallet by creating a point cloud, allowing the entire shape of the goods to be accurately represented.

KI-gestützte Optimierung zur Formbestimmung

Eine künstliche Intelligenz analysiert die erfasste Form mithilfe spezieller Optimierungsalgorithmen. Dies hilft, die exakten Abmessungen der Palette zu bestimmen.

Automatische Volumen- und Maßberechnung der Ware

Das System berechnet automatisch das Volumen und die genauen Maße der Palette. Dies sorgt dafür, dass die Größe der Ware korrekt erfasst wird.

Überprüfung der Übereinstimmung mit ULD-Spezifikationen

Die errechnete Form wird mit den vorgegebenen ULD-Spezifikationen verglichen. So wird sichergestellt, dass die Palette den Anforderungen für den Transport entspricht.

Präzise Standort-Anzeige

Standort-Anzeige

Die letzten bekannten Standorte der ULDs werden auf der Karte dargestellt.

Our expertise in
Numbers and Votes

20

Specialists

6

Years

1100

Servers used

13000

Analyzed cameras

absolute element

Deployment at
key locations in the industry

System requirements
for the installation

Linux-Requirements

The installation requires a Linux distribution (e.g., Ubuntu 18.04 or newer, Linux Mint 18 or newer) with the following installed packages:

  •  Docker Engine (20.10.x or newer)
  • Docker Compose (1.28.0 or newer)
  • Nvidia Container Toolkit (1.5.0 or newer)

Server-Requirements

  • CPU: 8-Kern-CPU (e.g. Intel Core i7-9700K)
  • RAM: 32 GB
  • GPU: Nvidia RTX4000 or RTXA4000 (suitable for 4 streams)

If you wish, you can purchase a suitable server with the installed software directly from us.

Let us advise you now!

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