
AI Video Analytics: How EyeQ Detects Camera-Based Security Risks
Learn how EyeQ uses AI video analytics, configured detection rules and human verification to identify and assess camera-based security risks.

Learn how EyeQ uses AI video analytics, configured detection rules and human verification to identify and assess camera-based security risks.

Repeat Suspicious Activity Detection: Find the Pattern A vehicle stops near a closed loading area for three minutes and leaves. The event may not meet

A person enters a restricted parking area after midnight. The camera detects movement immediately. What happens next? For many properties, that question exposes a gap.

Office parks are spread-out environments. Tenants may occupy multiple buildings, parking areas may be shared, and walkways may connect offices, garages, courtyards, and entrances. Strong

Commercial parking lots are rarely simple to monitor. They may cover large areas, wrap around buildings, connect multiple tenants, or include dark corners, shared entrances,

Not every property is built for traditional security infrastructure. Some sites are temporary. Others are expanding. Some have limited access to power, networking, or permanent

Security incidents rarely occur at convenient times. Many property-related incidents happen overnight, during weekends, or outside normal operating hours when staffing levels are lowest. That

Most commercial properties already have security cameras. The challenge is that many of those cameras are only recording events rather than helping prevent them. A

Many security incidents do not begin as major events. They start with a person lingering near a door, a vehicle circling a parking lot, someone

Retail parking lots are some of the hardest areas for property teams to control. They are open by design, busy during peak shopping hours, quieter
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