Recognize
Meddlers
ANYTIME

Detection of unauthorized persons on your premises.

Streamlined operations & Resources

IKARA Protect is a software module for the protection of rooms, buildings or generally open and fenced areas. Neural networks ensure high detection quality to further minimize false alarms. The system has been tested under real conditions and works reliably even in rain, at night or in artificial lighting.

Detect unauthorized persons with the help of deep learning technologies and thus ensure reliable security in cargo handling points. OLD: Our intrusion detection module, based on state-of-the-art deep learning technology and trusted by market leaders, ensures reliable security in cargo handling hubs. Detect unauthorized people even in difficult lighting conditions.

Threat

Cargo transshipment points are a popular target for criminals and cause billions of dollars in damage worldwide.

Surveillance

The expansive outdoor spaces and complex interiors are difficult for humans to monitor, increasing the security risk.

Recognition

AI-based intrusion detection provides superhuman speed and accuracy to quickly identify potential threats.

Alerting

Flexible interfaces allow you to alert your security personnel or external security companies directly to take immediate action.

How it works

PROTECT was one of IKARA’s first products and offers an innovative solution for security monitoring. It combines two detection modes: detection of unauthorized access by persons and detection of tampering. This versatility allows users to specifically address different security needs.

An outstanding feature of PROTECT is its high level of adaptability through a user-friendly graphical user interface. Users can set specific detection zones, exclude areas, and enable privacy masks to maintain privacy. This ensures effective and flexible safety monitoring that adapts to the individual requirements of the job site.

Our expertise in
Numbers and Votes

20

Specialists

6

Years

1100

Servers used

13000

Cameras analysed

absolute element

Use on
Key locations in industry

System requirements
for the installation

Linux-Requirements

The installation requires a Linux distribution (e.g. Ubuntu 18.04 or later, Linux Mint 18 or later) 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 installed software directly from us.

Let us advise you now!

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