IMMEDIATLY
detect
falls

Immediate assistance in case of falls and emergencies thanks to AI.

Optimized processes & resources

EmergencyDetect is an intelligent system that automatically recognizes when someone falls or when an emergency occurs. In such cases, it immediately sends an alert to the relevant emergency services so that help can be provided quickly.

The system works with existing cameras, requiring no additional equipment, ensuring cost-effective monitoring. It protects people in workplaces such as warehouses or freight centers and helps ensure employee safety while securing operations..

Unavoidable

Accidents and medical emergencies cannot be prevented 100%.

Detection

Immediately detect emergencies.

Delay

In complex environments like logistics hubs, it can take a long time to recognize situations.

Reaction

Quick response to events such as falls or collapses to avoid long-term consequences.

How it works

The system can be used beyond mere detection: 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 different 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. As 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.

Our expertise in
numbers and votes

20

Specialists

6

Years

1100

Servers used

13000

Analyzed Cameras

absolute element

Deployment to
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 the installed software directly from us..

Let us advise you now!

Ready for IKARA

Get a consultation with our specialists now.