/ 01 Solutions
TrueFlow Footfall
Setting a new standard for understanding and leveraging footfall data, increasing the potential to optimize customer experience and overall business performance.
Conversion Funnel Measurement
4-in-1 Footfall Analysis
Unique Visitors and Repeats Removal Technologies

Powered by TrueFlow technology, Vionvision delivers not just traditional traffic totals anymre——but unique visitor counts. Using privacy-safe, non-biometric attributes such as clothing color and patterns, the system automatically distinguishes staff from shoppers and prevents the same person from being counted multiple times. As a result, KPIs like footfall, conversion rate, dwell time, and heatmaps become more accurate and reliable—supporting smarter daily operations and more confident performance comparisons across stores.


4-in-1 Footfall Analysis
One of the Most Accurate Demographics Analysis Solutions

Without using any biometric information such as facial recognition and while adhering to the highest privacy standards, our sensors or CBox can still identify visitors’ gender and age through clothing-based features. These insights can be combined and segmented with other footfall metrics for analysis, achieving accuracy rates of 95–99+% and 85–90+%, respectively.


4-in-1 Footfall Analysis
Group Counts

When comparing shop performance, especially when calculating purchase conversions, there is a significant difference between counting visitors by number and counting them by groups, which can affect the development and execution of subsequent conversion rate improvement measures. As a result, Vionvision has developed an advanced group counting algorithm that determines whether a visitor is in a group based on their entry and exit patterns, as well as potential correlations between visitors.

4-in-1 Footfall Analysis
Dwell Time Distribution

While traditional systems calculate the average length of a visitor's stay, smart sensors can further analyze the distribution of visitor’s dwell time. This unique traffic metric allows business owners and managers to analyze, for the first time, the correlation between dwell time and purchase conversions, so that they can decide whether to invest in extending the stay time a visitor spends in the shop. Additionally, the length of stay data can be used to filter out traffic that is travelling through the shop.

4-in-1 Footfall Analysis
Fully Automatic Staff Exclusion

Powered by Vionvision’s TrueFlow technology, the system automatically identifies and filters out store staff from footfall and behavior analytics—without tags, predefined motion patterns, or even standardized uniforms. Using privacy-safe, clothing-based features, the platform tracks the dwell time of every visitor, including both staff and customers. In most cases, staff remain in-store for 6–8+ hours per day, while customers typically stay for no more than 1–2 hours. Based on this clear dwell-time separation, the system can reliably exclude staff traffic and ensure your KPIs reflect real shopper behavior.

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Feb 14,2026