Protection through AI-based
Threat detection

Reliable detection of weapons and dangerous objects in real time for maximum security in public and private places

Detection of threats and dangerous objects

IKARA ThreatDetect is a powerful software module developed to protect buildings, public places and restricted areas. Using neural networks, the system reliably detects dangerous objects such as knives, guns, rifles and balaclavas. It monitors up to 16 cameras simultaneously in real time and enables flexible and precise control of risk zones. The user-friendly web interface and zone editor offer easy customization of surveillance areas and responsive alarm output via email, FTP or I/O module. IKARA ThreatDetect protects your premises by detecting threats early and enabling immediate action.

Reliable threat detection

Detect dangerous objects such as weapons, masks or gas canisters in real time and react quickly.

Flexible integration

Integrates seamlessly into existing camera systems and can be combined with external motion triggers such as cameras.

Precise alerting

Detailed setting of the triggering accuracy and immediate notifications by e-mail or direct forwarding to an alarm center.

User-friendly control

The browser-based interface enables simple configuration and real-time monitoring of detected threats.

How it works

IKARA ThreatDetect uses neural networks to identify potentially dangerous objects and threats in real time. With up to 16 cameras, the system monitors different zones and reliably detects objects such as knives, guns and balaclavas. The flexible web interface can be used to customize monitoring zones and track events in real time.

The system can be integrated into existing security cameras and offers a high trigger accuracy that can be customized for each camera. When a threat is detected, the module sends immediate alarms via various channels such as email, FTP or I/O module to the relevant authorities. The flexible architecture of IKARA ThreatDetect allows the system to be continuously updated and adapted to new threat scenarios.

Our expertise in
numbers and votes

20

Specialists

6

Years

1100

Servers used

13000

Analyzed cameras

absolute element

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 packages installed:

  • 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.

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