Use Cases

Our 3D vision sensors enable precise people counting, reliably determining visitor and customer traffic. The sensors distinguish between children and adults, providing valuable insights into walking routes and movement patterns. Thanks to the analysis of anonymized 3D data that complies with data protection regulations, you can receive meaningful insights without collecting personally identifiable information.

The sensors integrate seamlessly into existing systems and deliver counting accuracy of over 98%. In addition to counting people, the sensors enable detailed movement analysis and the measurement of the absorption rate. This lays the foundation for data-driven decisions to optimize space, processes, and customer experiences. Our sensors deliver reliable real-time data for intelligent visitor analysis, whether in retail, at major events, in public facilities, or at airports and train stations.​

Dank der datenschutzkonformen Auswertung anonymisierter 3D‑Daten erhalten Sie aussagekräftige Analysen, ohne personenbezogene Informationen zu erfassen. Die Sensoren lassen sich nahtlos in bestehende Systeme integrieren und überzeugen mit einer Zählgenauigkeit von über 98 %.

Neben der Personenzählung ermöglichen die Sensoren detaillierte Bewegungsanalysen sowie die Messung der Abschöpfungsrate (Absorption Rate). Damit schaffen sie die Grundlage für datenbasierte Entscheidungen zur Optimierung von Flächen, Prozessen und Kundenerlebnissen.

Ob im Einzelhandel, bei Großveranstaltungen, in öffentlichen Einrichtungen oder auf Flughäfen und Bahnhöfen – unsere Sensoren liefern zuverlässige Echtzeitdaten für eine intelligente Besucheranalyse.

With our S1000 people counter, you can accurately and reliably measure your storefront conversion rate. In addition to counting passersby, the sensors measure how long people linger in front of store windows and entrances. These insights reveal how many passersby are interested and how effective your storefront displays and advertising campaigns are.

Thanks to anonymous 3D data analysis, data collection is conducted in full compliance with data protection regulations. The sensors are discreetly mounted in the store window with a specially designed bracket and provide continuous, reliable data on foot traffic. This data forms the basis for making informed decisions about optimizing marketing strategies, store window design, and location performance.

Our 3D vision sensors allow for the precise analysis of dwell times in custom-defined areas of your sales floor. They anonymously track how long visitors stay in specific zones and identify which areas are particularly popular.

This data will provide valuable insights into your customers’ behavior. You can identify high-potential sales areas, analyze customer flow patterns, and uncover opportunities to optimize product placement, advertising space, and promotional displays.

Additionally, you can identify seasonal trends and visitor patterns based on the time of day. This enables you to tailor your marketing efforts more effectively, optimize space utilization, and enhance the shopping experience over time. All of this can be done in real time and in compliance with data protection regulations.

Keep track of visitor traffic at all times, even in large, complex areas. Up to nine 3D Vision sensors are intelligently networked to seamlessly track and analyze people's movements and walking paths.

The flexible arrangement of the sensors allows for optimal coverage of a wide variety of environments. The quality of the analysis is not compromised when sensors are installed at various heights and positions.

You will benefit from continuous people counting and detailed traffic analysis across multiple areas. All of the single sensor's functions are retained and can be conveniently configured and managed via the proven web interface. This provides a comprehensive, precise, and privacy-compliant real-time picture of visitor flows and space utilization.

Optimize waiting areas and improve service quality in real time. Our 3D vision sensors automatically and reliably detect long lines at checkout counters, service counters, and entrances.

If predefined thresholds for the number of people or wait times are exceeded, targeted measures can be implemented immediately. For instance, this enables the call-in of additional staff or the opening of extra registers and counters before wait times become excessive.

You can improve customer satisfaction, use resources more efficiently, and ensure smooth operations with precise, privacy-compliant real-time data.