Visit Data based on Indoor Location Information
A unique Wi-Fi AP and signal strength (RSS) for each location are recognized and combined on a triangular side to determine a location. Derive visit data by scanning wireless signals with the SDK associated with individual devices.
Wi-Fi fingerprinting technology makes it possible to discover locations inside buildings and even distinguish between floors where GPS signal does not work reliably. Advanced machine learning algorithm estimates user at the POI into three phases (In / Out / Near) and you can identify more precise information such as the type of visit, the frequency of visits, the time of stay, and the movement pattern.
Analysis of Flowing Population by Data Scanning
Based on the data acquisition sensor (IoT), Wi-Fi and Bluetooth signals of all mobile devices are scanned within a radius of up to 70 meters to determine location information. Personal information kept safe by using de-identified telemetry signals, while being able to detect the movements and paths of all device users even without installing an SDK. Moreover, needless of battery makes it convenient to manage.
Multi-dimensional data connection is possible by combining environmental information such as noise, vibration, fine dust, and humidity.
To minimize the technical limitations of WLAN signals passing through certain objects,
we combined GNSS signals for more precise location determination.
Triangulation-based detection improves data accuracy by 96.7%
and even distinguish between difficult barriers such as glass windows.
Relevant patent : GNSS signal-based building indoor/outdoor detection method (10-2019-0036256)
Wi-Fi, which is highly affected by external environments, is very important to be up to date.
By developing automatic reference signal update algorithm, it is possible to cope with signal aging
and maintain high positioning accuracy.
Relevant patent : Radio map auto-updating method based on Wi-Fi fingerprint (10-2019-0036259)
With moving data clustering, it is possible to acquire the location of residence and workplace, and determine whether the user is in or out of that place. It allows you to better understand movement patterns and flow path of users for customized services.
Relevant patent : Major living space clustering method (10-2019-0036261)
Analyze various offline data, including flowing population and density of population, and provide objective indicators in a highly variable offline environment.
Real-time micro marketing by identifying preferences from visiting history and current location of customer.
Track offline funnel through journey route and main residence of users, and optimize every aspect of an event.
Maximize user experience by recommending the right place based on location and accumulated movement patterns.
Commercial Area IndexBy analyzing the characteristics of the commercial area, including location, accessibility, and flowing population, you can evaluate the current growth and manage predictable risks in the future.
Target Message SendingAutomatically send push notifications when potential customers pass by the store. You can customize the message with visit types and visit patterns, and attract more customers to your store.
Offline Event ReportsIdentify and report how many people have visited and which paths they have came from to the offline event. You can make process improvement through tracking user engagement.
Senior Healthcare PlatformRecommend suitable exercise courses for the seniors considering current location, age and gender. Also the seniors can be informed with medical facilities based on thier previous visiting history.
Analyze various offline data, including flowing population and density of population, and provide objective indicators in a highly variable offline environment.
Commercial Area IndexBy analyzing the characteristics of the commercial area, including location, accessibility, and flowing population, you can evaluate the current growth and manage predictable risks in the future.
Real-time micro marketing by identifying preferences from visiting history and current location of customer.
Target Message SendingAutomatically send push notifications when potential customers pass by the store. You can customize the message with visit types and visit patterns, and attract more customers to your store.
Track offline funnel through journey route and main residence of users, and optimize every aspect of an event.
Offline Event ReportsIdentify and report how many people have visited and which paths they have came from to the offline event. You can make process improvement through tracking user engagement.
Maximize user experience by recommending the right place based on location and accumulated movement patterns.
Senior Healthcare PlatformRecommend suitable exercise courses for the seniors considering current location, age and gender. Also the seniors can be informed with medical facilities based on thier previous visiting history.
AWARDS
