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intuVision VA - People Counting

 

intuVision VA’s people counting combines performance with ease of use. Over 95% accuracy, bi-directional count capability and flexibility in deployment options make it a perfect solution for retail stores big and small, shopping malls, banks, museums and anywhere counting customers is needed.

People Counting with intuVision VA

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intuVision VA’s patented algorithms detect and count people through ingress/egress areas with high accuracy as verified with month long tests comparing counts by other counters and the doormen.

Count results can be reported and exported in various formats as text, graph and Comma Separated Value files as well as they can be monitored in realtime in intuVision VA’s comprehensive Review Application.

intuVision Advantage

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Included in the intuVision VA Retail module intuVision VA People Counting, unlike other video based solutions, does not require a dedicated camera just for counting people. Any surveillance camera with a clear view of people traffic can be used for counting people entering and exiting an area —while also being utilized for detecting other events such as loitering people, objects left behind or any one of several intuVision VA rules—to meet a wide range of requirements within one video analytics product. Entry/Exit counts from multiple cameras can be combined for real-time monitoring of occupancy levels.

Deployment Recommendations

intuVision VA People Counting solution is ready to deploy with all ONVIF compliant cameras and major VMSs. The only requirement, along with our award winning software, is a camera with an unobstructed view of the people entering/exiting an area. Ceiling mounted cameras (recommended minimum height: 10ft) looking down to the Entry/Exit area.

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Excellent camera view - directly top down and good separation between people - 95% or higher accuracy.

Modest camera view - not directly top-down, but high camera position to minimuze occlusions - 90% or higher accuracy.

intuVision VA People Counting Sample Deployments

intuVision VA People Counting is being used around the world at airports, shopping malls, retail stores, museums, banks and fitness centers as highlighted below. Please contact us for more information on these use cases and how it might apply to your people counting scenario.

Customer Counts for a Retail Chain

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This international high-end retailer chose intuVision VA analytics for people counting after 90 days of testing in their highest trafficked store in Los Angeles. intuVision enter/exit counts achieved 98% accuracy counting customers in this busy store. Now deployed in their stores across US, the system reports daily customer traffic data, broken by the hour, to the headquarters to improve business operations.

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Counting Visitors at a Museum

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A non-profit art museum in California needed a way to track customer volume, to better estimate the percent conversion in their gift shop and the percent of donations. Additionally, as a free museum, obtaining an accurate count of customers is crucial for obtaining grants. Manual counts were inefficient and inaccurate - as well as pulling valuable museum staff away from helping customers. The intuVision people counting solution was able to be implemented using existing cameras and servers already in place, proving a highly cost effective solution.

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Bank Customer Behavior Reporting

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Using the customer traffic data produced by intuVision VA Retail analytics, Syenap was able to develop dashboards to provide business intelligence for their brick and mortar retail subscribers. intuVision analytics provided reliable data needed to understand the customer behavior and patterns. Syenap was able to provide infromation to customers in multiple languages by integration results into their dashboard via the intuVision Web API.

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Counting Customers at Outdoor Shopping Plaza

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USI Integrated Solutions, Inc. required an accurate customer counting solution for several outdoor premium outlet centers, each containing 5-8 wide entrances. Due to the unconstrained nature of these outdoor entrances, alternate people counters were not effective. Despite changing weather and lighting, intuVision’s adaptive scene modeling and ability to accurately count people in groups led to accurate counts.

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