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People Counting & Occupancy Analytics

Understand occupancy, dwell times, and visitor traffic to optimize physical spaces.

RetailCorporate OfficesTransportationEvents
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The Challenge

Without accurate foot traffic data, facility managers overspend on HVAC and cleaning, while retailers struggle to calculate accurate conversion rates.

Our AI Solution

Overhead 3D cameras and computer vision algorithms that accurately count people crossing thresholds, track directional flow, and measure zone dwell times without identifying individuals.

Optimizing Operations with People Counting & Occupancy Analytics

People Counting and Occupancy Analytics provide critical intelligence for retail spaces, corporate offices, and transit hubs. Using overhead Computer Vision sensors, organizations can track foot traffic, directional flow, and dwell times with 99% accuracy. This data enables retailers to calculate true store conversion rates and allows smart buildings to dynamically adjust HVAC systems based on real-time occupancy, driving massive energy savings.

How It Works

1

Stereoscopic or fisheye cameras are mounted above entrances and key zones.

2

The AI tracks human heads and shoulders, determining the direction of movement (In vs. Out).

3

Data is aggregated in real-time to calculate total live occupancy for a building or specific zone.

4

The system triggers automated HVAC adjustments via Building Management Systems (BMS) or alerts staff when capacity limits are reached.

Expected Outcome

Optimized staffing, efficient space utilization, and energy management based on real-time occupancy.

Technical Implementation

Edge-processed to ensure GDPR compliance (no faces recorded). Integrates with API dashboards for retail analytics and smart building platforms.

"The occupancy analytics allowed us to consolidate our corporate office space, saving millions in lease costs while ensuring our collaborative spaces were never overcrowded."

Anita K.

VP of Real Estate

TechCorp Enterprise

Frequently Asked Questions

Technical and operational details regarding people counting & occupancy analytics.

Q.How does it handle crowds or people walking closely together?

Unlike traditional infrared beam counters, Computer Vision easily distinguishes individual people within a dense crowd by tracking top-down head and shoulder contours.

Q.Is this GDPR compliant?

100% compliant. Overhead people counting models do not capture facial features or identifiable data. The system only tracks anonymous bounding boxes.

Q.Can it track how long someone stands in a specific area?

Yes. By defining "virtual zones" in the camera's field of view, the system calculates average dwell times, which is highly valuable for retail merchandising.

Ready to Automate & Scale Your Business?

Book a free 30-minute strategy call. We will discuss your operational bottlenecks, suggest AI integrations, and provide a clear timeline for implementation.