Concept development
Define the project scope and evaluate the initial state, existing hardware and software by our project managers
Easy navigation in the map view to display data for the entire network or specific details.
In accordance with the frequency of vehicles, a turn-in rate can be calculated to improve the effectiveness of marketing activities.
Information can be used for target group within the store as well as to provide statistics about the customer groups.
Existing CCTV hardware can be re-used for business intelligence.
The counting statistics allows to detect the number of persons to enter or exit the store and to calculate turn-in rates at any entrance or exit.
Face Detection provides statistical data about the age and gender of the customers. Detection of body height allows to distinguish between adults and children.
Advertisements with digital signage systems can be controlled by the detection of dwell time, number of customers and demographic segments. The effectiveness of the content on digital signage systems can be measured by the attention time function.
The counting statistics allows to detect the number of persons to enter or exit the store and to calculate turn-in rates at any entrance or exit.
If defined queue lengths are exceeded, automatic opening requests for additional POS can be generated. If customers stay a long time in a pre-defined area, shop assistants can be informed automatically.
Detect preferred and neglected areas, trends and typical movement patterns.
Data received from mobile providers contain information about gender, age and geographical data of the persons in the area.
Detection of the staff is anonymous and accordance to privacy laws.
sMart collects data from different sensors and systems for different applications
e.g. counting data from existing sensors
Data collector for edge analytics devices
Video analytics data generated directly at the edge
Server-based video analytics data
Business data collected from POS Systems
Highly accurate counting statistics
For a reliable detection of objects without being subject to any privacy-related restrictions
For reliable detection of objects without being subject to any privacy-related restrictions and the option to exclude staff
For reliable detection of objects without being subject to any privacy-related restrictions
Future technologies
Prepare and export collected data for big data applications
See what data you can get by using the Netavis solution
Click „Start Demo“
Input Username and Password
Easy navigation in the map view to display data for the entire network or specific details.
In accordance with the frequency of vehicles, a turn-in rate can be calculated to improve the effectiveness of marketing activities.
Information can be used for target group within the store as well as to provide statistics about the customer groups.
Existing CCTV hardware can be re-used for business intelligence.
The counting statistics allows to detect the number of persons to enter or exit the store and to calculate turn-in rates at any entrance or exit.
Face Detection provides statistical data about the age and gender of the customers. Detection of body height allows to distinguish between adults and children.
Advertisements with digital signage systems can be controlled by the detection of dwell time, number of customers and demographic segments. The effectiveness of the content on digital signage systems can be measured by the attention time function.
The counting statistics allows to detect the number of persons to enter or exit the store and to calculate turn-in rates at any entrance or exit.
If defined queue lengths are exceeded, automatic opening requests for additional POS can be generated. If customers stay a long time in a pre-defined area, shop assistants can be informed automatically.
Detect preferred and neglected areas, trends and typical movement patterns.
Data received from mobile providers contain information about gender, age and geographical data of the persons in the area.
Detection of the staff is anonymous and accordance to privacy laws.
sMart collects data from different sensors and systems for different applications
e.g. counting data from existing sensors
Data collector for edge analytics devices
Video analytics data generated directly at the edge
Server-based video analytics data
Business data collected from POS Systems
Highly accurate counting statistics
For a reliable detection of objects without being subject to any privacy-related restrictions
For reliable detection of objects without being subject to any privacy-related restrictions and the option to exclude staff
For reliable detection of objects without being subject to any privacy-related restrictions
Future technologies
Prepare and export collected data for big data applications
See what data you can get by using the Netavis solution
Click „Start Demo“
Input Username and Password