ULDs
located
AT ANY TIME

No delays due to missing or lost ULDs.

Optimized processes & resources

IKARA ULD TRACKING is a software module that uses deep learning to detect and identify ULDs (e.g., on containers) in images and videos. This technology can revolutionize the tracking of containers in logistics and supply chain processes. With the help of the latest deep learning technologies, this system can accurately recognize and identify ULDs in real-time on both images and videos, ensuring efficient tracking even under difficult conditions.

Our deep learning model is designed to perform exceptionally well in various environments, including different lighting conditions, angles, and camera quality. Whether the ULD is partially obscured, in poor lighting conditions, or in high-contrast environments, the system can still accurately recognize and identify the container, ensuring uninterrupted tracking.

Efficiency

Precise hourly reports and the availability of the correct ULD type ensure productivity improvements and smooth transshipment operations during peak times.

Quality

Delays caused by ``lost`` incoming/outgoing ULDs are avoided, thereby ensuring the connectivity of shipments.

Safety

The balanced distribution of the workforce across different work areas ensures smooth operations and higher efficiency.

Feasibility

The reuse of the existing CCTV infrastructure allows for keeping investment costs low while simultaneously increasing efficiency.

How it works

The system can be used beyond mere recognition: Our advanced recognition model can read and identify ULD codes from various locations, enabling seamless tracking in warehouses, shipping yards, and airports. By detecting ULDs from various angles and distances, the system ensures that containers are consistently monitored throughout their entire journey.

Thanks to a flexible architecture, the model can be retrained and updated over time. When the logistics environment changes, we can continuously feed new data into the system, ensuring that the model adapts and stays up-to-date with the latest technology. This means improved performance over time and the ability to handle new types of ULDs or operational scenarios.

Cam_reuse

Use existing cameras for new tasks

Existing security cameras can be reused for the detection of ULDs. So no new devices need to be installed.

Display camera views on a floor plan

The camera footage is displayed on a digital floor plan, making the position and surroundings of the ULDs immediately visible.

Automatic detection and localization of ULD labels

IKARA's ULD OCR automatically recognizes the labels on the ULDs and determines their exact position. This makes it easier to monitor ULD movements.

Dashboard for targeted ULD search and tracking

A map-based dashboard allows for easy searching of specific ULDs or part codes, enabling targeted filtering by type or location. The last known positions of the ULDs are displayed on the map to facilitate their tracking and localization.

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-Core-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 installed software directly from us.

Let us advise you now!

Ready for IKARA

Secure a consultation with our specialists now.