# HAVELSAN EYEMINER Tracks Movement in Camera Footage

- Link: https://www.military.africa/2026/10/havelsan-eyeminer-tracks-movement-in-camera-footage/
- Published: 2026-10-08T08:23:29+01:00
- Author: Military Africa

_HAVELSAN’s AI-powered video analytics solution,_ [_EYEMINER_](https://www.havelsan.com/en/products/eyeminer-video-analytic-system-iot?utm_source=Press&utm_medium=Email&utm_campaign=press_eyeminer_pressrelease)_,
supports security teams with real-time monitoring, alert generation and searches
for individuals in recorded camera footage. Compatible with camera systems of different
makes and models, the solution supports the analysis of people, vehicles and objects
and can be configured for applications such as weapon detection and licence plate
recognition._

Developed by HAVELSAN, EYEMINER analyses footage from existing cameras to help security
teams verify incidents and search recorded footage for specific individuals. Its
photo-based search capabilities help teams identify the routes individuals have 
taken and determine when they passed through monitored areas. This information can
support searches for missing people.

These capabilities were used in security operations at the southeastern edition 
of TEKNOFEST, the world’s largest aviation, space and technology festival, held 
at Şanlıurfa GAP Airport. HAVELSAN integrated the EYEMINER Video Management System(
VMS), EYEMINER Video Analytics System (VAS) and EYEMINER Gözcü solutions with the
existing camera and recording systems. Live camera feeds from the site were transmitted
to the TEKNOFEST Crisis Centre, providing security teams with monitoring, alert 
generation and analytics support.

![](https://i0.wp.com/www.military.africa/wp-content/uploads/2026/10/Photo-2.jpg?
resize=1024%2C640&ssl=1)

**Tracing Routes from a Photograph**

Following reports of missing children during the event, photographs of the children
were uploaded to the system. Teams at the Crisis Centre evaluated scenarios in which
these photographs could be used to search recorded footage, identify the routes 
the children had taken and determine when they had passed through monitored areas.

ADVERTISEMENT

[EYEMINER](https://www.havelsan.com/en/products/eyeminer-video-analytic-system-iot?utm_source=Press&utm_medium=Email&utm_campaign=press_eyeminer_pressrelease)
Gözcü provided real-time data to the Crisis Centre during this process and supported
other on-site security needs.

**From Live Footage to Security Alerts**

Footage from connected cameras was analysed to detect people, vehicles and faces,
as well as individuals wearing hats or carrying bags. Weapon detection, analysis
of people and licence plate recognition were also enabled to meet on-site security
needs.

Network video recorders (NVRs) deployed on site supported video recording.

ADVERTISEMENT

**Advanced Analytics for Existing Cameras**

The on-site deployment demonstrated EYEMINER’s ability to integrate with camera 
systems of different makes and models, be deployed quickly and adapt to different
analytics requirements. Centralised monitoring and advanced video analytics supported
security operations at the event, while use cases for missing-person searches were
also evaluated.

The results provided a reference for future large-scale events, showing how existing
camera infrastructure can be enhanced with advanced video analytics without investment
in additional cameras.

**First School Security Pilot Underway**

HAVELSAN has signed a cooperation protocol with the Şanlıurfa Governor’s Office 
in Türkiye to establish an AI-powered early warning system using [EYEMINER](https://www.havelsan.com/en/products/eyeminer-video-analytic-system-iot?utm_source=Press&utm_medium=Email&utm_campaign=press_eyeminer_pressrelease)
for school security.

ADVERTISEMENT

Speaking to Anadolu Agency, HAVELSAN CEO Dr. Mehmet Akif Nacar said the first pilot
had begun at a school in central Şanlıurfa. The project will evaluate early risk
detection, automatic detection of suspicious behaviour and alerts to authorised 
personnel and security units.

### _Related_
