EYEMINERAI-Powered Video Management and Analytics Platform
EYEMINER is a comprehensive family of products designed to transform traditional surveillance into intelligent security solutions. Built on advanced artificial intelligence, the platform processes data from video management and imaging systems to deliver integrated monitoring, inspection, analysis, alarm, and reporting capabilities. This unified approach ensures that organizations can move beyond passive recording and achieve proactive, real-time security management.
Comprehensive Security Across Critical Domains
The versatility of EYEMINER makes it applicable across a wide range of sectors. From public safety and critical facility protection to smart and secure cities, industrial plants, transportation networks, infrastructure, and pipeline safety, EYEMINER adapts to diverse operational needs. By converting raw video footage into actionable insights, the platform reduces risks, enhances situational awareness, and supports seamless decision-making processes across multiple environments.
Operational Efficiency and Future-Ready Protection
EYEMINER’s strength lies in its ability to minimize false alarms, classify real threats, and integrate seamlessly with existing camera infrastructure—eliminating costly hardware replacements. With deployment options available both on-premise and in the cloud, organizations retain full control over their data while benefiting from scalable, AI-driven analytics. EYEMINER is not just a compliance tool; it is a strategic solution that empowers businesses and institutions to achieve comprehensive protection, operational efficiency, and resilience in an increasingly complex security landscape.
Camera networks tend to grow site by site, often without a plan to manage them as one system. Organizations across public safety, critical infrastructure, smart cities, industrial facilities, and transportation need a unified platform to monitor, manage, and analyze video data from a centralized hub.
EYEMINER VMS transforms IP-based camera networks into a single, intelligent video management platform. It integrates live monitoring, recording management, event-based search, alarm tracking, and authorization with advanced video analytics, reducing human error and false alarms so personnel can focus on assessment and response.
EYEMINER VMS provides centralized management for every connected camera, enabling operators to monitor live video, manage recordings, configure user permissions, and control distributed surveillance systems from a single, unified interface. Built on a modern microservices architecture running on Kubernetes, it offers high availability, scalability, and flexible deployment options for projects ranging from individual facilities to nationwide security networks. By simplifying system administration and supporting heterogeneous camera environments.
The platform integrates seamlessly with diverse IP camera brands via ONVIF standards, already compatible with more than 100 recording system brands and over 1,000 camera makes and models. EYEMINER VMS forms the foundation of a resilient and future-ready video management ecosystem.
Features:
- Scalable Multi-Location Monitoring
- Customizable Rules and Alerts
- Role-Based Authorization and Access Control
- Event-Based Recording, Search, and Filtering
- Detailed Reporting and Activity Analysis
- System Health Monitoring and Messaging
- Secure On-Premise Deployment
- Camera- and Platform-Agnostic (ONVIF)
Video analysis has become a core requirement for security operations, with growing demand for systems that anticipate threats and support faster response. EYEMINER VAS meets this need with an AI-powered video analytics infrastructure that turns raw surveillance footage into real-time operational intelligence.
The system distinguishes between people, vehicles, and objects to evaluate behavior and flag unusual situations. This triggers real-time alerts, so organizations respond immediately rather than reviewing incidents afterward. It also automatically reviews and summarizes long historical recordings against defined criteria. This approach also eliminates false alarms while reducing human error and operational burden. Personnel can then focus on assessment and response instead of routine monitoring.
EYEMINER VAS supports a variety of scenarios, including density measurement, crowd management, lost object detection, license plate recognition, people counting, and unusual movement detection in designated areas. These capabilities are powered by advanced analytics algorithms, an image processing engine, and an AI-driven architecture. All analytics run through an integrated video management platform, allowing organizations to monitor, manage, and evaluate camera networks across locations from a single dashboard. Incident records then feed into detailed reports.
Easily integrated into existing infrastructure with minimal disruption and compatible with cameras of different brands and models, EYEMINER VAS requires no new investment to adopt. An indigenously developed solution built on HAVELSAN's more than 40 years of defense technology and security expertise, it proactively analyzes behavior to assess potential risks, shifting organizations from reactive monitoring to proactive, timely action.
Features:
- Customizable Analytics (Adaptive Computer Vision Models)
- Smart Search by Person and Vehicle Attributes
- Automatic Video Summarization
- High Performance on Live and Recorded Footage
- Camera- and Platform-Agnostic, Flexible Architecture
- Secure On-Premise Analytics, HAVELSAN-Penetration-Tested
More data does not mean more clarity. Organizations need a way to consolidate fragmented streams from sensors, machinery, production lines, and infrastructure systems into a single, centralized hub for clear, comprehensive visibility.
EYEMINER IoT gathers and analyzes field data in real time, giving managers immediate visibility into operations and the ability to catch risks before they escalate. Everything is managed through one screen instead of switching between disparate systems, enabling faster action and evidence-based decisions.
The platform is fully compatible with sensors and devices of different brands and models, with robust health monitoring and quick add/authorize/remove device management that keeps onboarding simple. A single dashboard delivers real-time monitoring, historical data analysis, and automated alerts for predefined scenarios.
An AI-powered analytics infrastructure using machine learning identifies patterns, detects unusual conditions and potential anomalies early, supporting proactive maintenance and more efficient resource management across manufacturing, energy, transportation, and urban management.
With cloud and on-premise deployment options, EYEMINER IoT provides a scalable infrastructure that lets organizations accelerate digital transformation in a controlled, planned manner. Data stays under their own control, without compromising security policies or risking vendor lock-in.
By combining IoT, artificial intelligence, and big data analytics, EYEMINER IoT enables organizations to move beyond tracking data to understanding what it means and anticipating what comes next.
Features:
- Visualized Real-Time and Historical Dashboards
- Automated Alert and Task Management
- Rule-Based Automation
- Flexible Device Management (Add/Remove/Authorize/Monitor)
- Fast, Practical Integration Across Brands and Models
- Cloud and On-Premise Deployment Options
EYEMINER BOX (GÖZCÜ) is a next generation video analytics solution that combines the capabilities of EYEMINER VAS with LLM-based smart search. It processes image and audio data to deliver deep analysis and meaningful insights for security, surveillance, and critical system management, reducing human error while increasing efficiency.
An internal recording system securely stores image and metadata records, keeping data related to critical events separately for both evidence preservation and long-term analysis. LLM-based text and image search enables natural language visual queries, such as “man in a red coat” or “yellow car,” returning results within seconds. Text found within images can also be located through text search.
Continuous learning with base models lets the system adapt to new conditions through dynamic model training and situation analysis, so its ability to analyze both moving and stationary objects keeps improving over time. Deep analysis combines image, audio, and text data for multidimensional threat detection, while dynamic masking defines monitoring boundaries through special zones, motion masks, or object masks.
All data flow between user and server is encrypted with dedicated SSL certificates, ensuring full security in closed or open networks. Role-based authorization also restricts users to their assigned cameras. EYEMINER BOX serves public safety, critical facility security, smart and secure cities, defense and surveillance, energy and industrial facility security, transportation and infrastructure, finance and banking, and occupational health and safety.
Features:
- LLM-Based Semantic Search (Natural Language Queries)
- Deep Multidimensional Analysis (Image, Audio, Text)
- Internal Recording System (Evidence Preservation)
- Continuous Model Learning and Adaptation
- Dynamic Masking (Zones, Motion, Objects)
- Encrypted Communication (Dedicated SSL)
- Role-Based Authorization Management
