Turn Existing Cameras Into Traffic Flow Intelligence

Whether it’s vehicles, people, or inventory, managing traffic is more complex than ever. Congestion, long queues, and inefficient layouts can hurt operations, frustrate customers, and cost businesses money.

EyesOnIt helps VMS providers and system integrators turn existing video streams into actionable traffic intelligence. Measure people, vehicles, and objects; monitor queues and occupancy; and identify recurring congestion without requiring customers to replace their current camera infrastructure.

Works with existing RTSP video streams • Flexible on-site and self-hosted deployment • Integrates with established VMS environments • Official Genetec Partner

Discover the EyesOnIt Difference

Drastically Reduce Investigation Time

Turn hours of video review into minutes. Find the exact segment using natural language text descriptions, face recognition or an existing image to pinpoint people and events across archived video from all cameras.

Eliminate False Alarms

Eliminate false alarms by validating motion with natural language, face recognition, image similarity and object tracking. Fewer false alarms reduce monitoring workload and prevent alarm fatigue while maintaining strong coverage.

Understand Flow Patterns

Monitor queue length, occupancy, and dwell-time conditions. Identify high-traffic areas, underused spaces, and recurring bottlenecks. Use movement data to support layout, staffing, and operational decisions.

Lower Total Surveillance Costs

EyesOnIt runs on your existing infrastructure and integrates with your VMS. Avoid hardware vendor lock-in, cloud processing fees, and costly “smart camera” refresh cycles by centralizing analytics on off-the-shelf servers.

Official Genetec Partner

Seamlessly deploy EyesOnIt within your existing Genetec environment and configure advanced video intelligence directly without replacing your VMS or disrupting established workflows.

Traffic Flow Workflows EyesOnIt Can Support

EyesOnIt is built to detect and differentiate even the most nuanced traffic-related activities. If you can describe it, we can detect it. Start with one well-defined operational question, configure the relevant camera view, and expand after validating the results. Common workflows include:

People and Vehicle Counting

Measure entries, exits, and directional movement across selected lines or areas. Compare activity across time periods and locations.

Queue and Wait-Time Monitoring

Track queue length and dwell conditions at service points, entrances, loading areas, and checkpoints. Alert teams when a configured condition persists.

Occupancy and Congestion Insights

Understand when spaces approach a defined occupancy level and identify the times and locations where congestion occurs most often.

Customer and Visitor Flow

See how visitors move through retail, hospitality, transportation, and public spaces. Use traffic patterns to support better layouts, signage, and service placement.

Parking and Vehicle Flow

Monitor vehicle movement through parking areas, entrances, exits, and loading zones. Identify recurring bottlenecks and periods of elevated activity.

Inventory and Object Counting

Count selected objects in defined areas and route relevant conditions into alerts, reports, or downstream workflows.

How It Works

EyesOnIt is simple to set up and incredibly powerful to use:

Connect your video stream: Enter your RTSP URL, name the stream, and define the area to monitor.

Describe what to detect: Use plain English to describe the events or conditions you care about.

Get real-time alerts: Receive immediate notifications and confidence graphs as EyesOnIt monitors and detects events.

Conduct forensic search across all cameras: Search through historical and live videos like you would a document with our AI natural language video stream monitoring and alerting.

Review insights & analytics: Gain actionable insights from detailed reports and analytics dashboards. Track detection events, analyze patterns over time, and measure the performance and accuracy of your monitoring system to continually improve your security strategy.

Start With a Traffic Analytics Pilot

EyesOnIt gives VMS providers and integrators a flexible way to introduce traffic analytics without tying customers to a proprietary camera refresh. Connect supported video streams, configure workflows around the customer’s environment, and keep deployment choices aligned with infrastructure and data requirements.

Tell us what your customer wants to count, monitor, or improve. Our team can help assess the camera view, define the first workflow, and identify a practical path for validating EyesOnIt in the customer’s environment.

Feature	Description
Multi-Layer Verified Detection	Validates motion events with natural-language descriptions, face recognition, and image similarity, so alerts are accurate and actionable. Fewer false alarms, fewer missed incidents, and less operator fatigue.
Natural-Language Object & Behavior Detection	Describe what matters in plain English (e.g., “loitering near door” or “vehicle enters between 6pm and 6am”) and refine anytime without retraining models. Get custom detections without custom model costs.
Face Recognition with Watchlists	Import galleries, organize watchlists, and receive instant alerts when matches are detected. Strengthen security response and enable verified access workflows without increased staffing overhead.
AI Video Search (Live & Archived)	Instantly search live and recorded video feeds using text descriptions, face recognition or image uploads. Find people, objects, and events in seconds, turning hours of manual review into minutes.
Automated Event Workflows	Trigger lights, alarms, intercoms, notifications, or downstream systems when a verified visual event occurs. Improve response speed, consistency, and operational efficiency.
Reporting & Analytics	Generate searchable timelines, export event clips, and track detection trends across cameras and locations. Gain measurable insight while simplifying investigations and internal reporting.
On-Site Processing	Keep video and identity data on your network, eliminating cloud latency and per-event processing fees while maintaining real-time performance and stronger data control.
Open, Hardware-Agnostic Architecture	Works with existing cameras, RTSP streams, and your current VMS. Runs on standard servers with no proprietary lock-in, so you can scale affordably without rip-and-replace upgrades.

Frequently Asked Questions

Can EyesOnIt work with existing cameras?

EyesOnIt works with supported IP cameras and RTSP video streams, helping organizations add traffic analytics without automatically replacing their current camera infrastructure. Camera placement, image quality, lighting, and the selected workflow should be reviewed during planning.

What can EyesOnIt count?

EyesOnIt can be configured to count supported object types, including people and vehicles, within selected regions or as they cross defined lines. The right configuration depends on the camera view and operational goal.

Can EyesOnIt monitor queues or occupancy?

Yes. Teams can configure count and duration conditions for workflows such as queue monitoring, occupancy review, and congestion alerts. For example, a workflow could flag when a defined number of people or vehicles remains in an area for a selected period.

Does video have to be processed in the cloud?

EyesOnIt supports on-site and self-hosted deployment options on supported infrastructure. The appropriate model can be selected around the customer’s performance, connectivity, and data-control requirements.

What affects counting performance?

Camera angle, resolution, lighting, visibility, object overlap, movement speed, and configuration can all affect results. EyesOnIt can help evaluate the camera view and validate the workflow during a focused pilot..

How should we get started?

Start with one camera, one measurable condition, and one defined response. Validate the results over an agreed pilot period, refine the configuration, and expand once the workflow meets the customer’s objectives.