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EYEMINER
AI video analytics & IoT platform for public sector
Table of Contents
EYEMINER - 2026 Pricing, Features, Reviews & Alternatives


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Last updated: October 2026
EYEMINER overview
What is EYEMINER?
EYEMINER is an AI-powered video management and analytics platform built around two integrated modules: EYEMINER VAS (Video Analytics System) and EYEMINER IoT. The VAS module applies computer vision and AI-supported analytics to imaging device data, delivering people detection, vehicle detection, and situational event detection across live and recorded feeds. Capabilities include live image search, video summarization, alarm creation, report generation, and customized analysis development. The IoT module centralizes sensor and device data into a unified platform supporting device management, customizable real-time and historical dashboards, rule-based automation, and notification management for alarm and task handling.
EYEMINER targets public sector institutions, smart city operators, critical infrastructure operators, defense and border security organizations, and private sector entities operating in security-intensive environments. Demonstrated deployments span urban public space monitoring, border security, and critical institutions such as energy facilities and government bodies. The platform supports license plate recognition, parking violation detection, in-vehicle violation detection, vehicle brand and model recognition, vehicle pass summarization, and ONVIF camera compatibility, with integration support across devices of different brands and models.
Across both modules, EYEMINER converts raw video and sensor-based data into actionable intelligence, supporting data-driven decision-making for operations requiring proactive incident detection, resource optimization, and continuous monitoring of public spaces and critical infrastructure. The platform is marketed internationally across defense, aviation, and advanced technology sectors.
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EYEMINER's key features
Most critical features, based on insights from EYEMINER users:
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