What Makes Anonymous Recognition So Powerful? The Future of People and Flow Analytics
- erikaitagaki
- 17 minutes ago
- 3 min read
User analytics on websites and mobile apps have become a standard marketing practice—essential for understanding customers and improving UX.
But what if the same level of insight could be achieved in real-world spaces like retail stores, offices, or event venues?
In this article, we introduce Nabla Vision Platform – People Analytics API, a next-generation cloud service that enables AI-powered visitor tracking and behavior analysis through anonymous recognition technology.
1.What Is the People Analytics API?
Nabla Vision Platform is a cloud-based face recognition and video analytics API developed by Nabla Works Corp.
It allows developers to integrate high-precision face recognition and AI video analysis features into their systems quickly—without building new infrastructure.
Within this platform, the People Analytics API provides advanced functions for people analysis, behavior tracking, and flow analytics, supporting a wide range of use cases from marketing to security.
2.What You Can Do with the People Analytics API
The People Analytics API automatically detects and identifies individual visitors—no registration required. It records not only facial data but also estimated demographic attributes, such as gender and age group, creating a detailed profile of every visitor.
Think of it as an AI-powered staff member who works tirelessly 24/7, continuously analyzing visitor trends and behaviors.
With this data, you can perform in-depth analytics such as:
Track visit frequency and repeat visitors
Visualize movement paths within a store or venue
Analyze customer behavior patterns based on historical data
3.Use Cases of the People Analytics API
The People Analytics API can be applied across many environments—retail stores, showrooms, events, and public spaces.
Retail and Marketing Automatically record visitor demographics and visit history to gain actionable insights.
Use these analytics to improve marketing strategies and create more personalized customer experiences. Examples:
Customer database creation, frequent visitor alerts, new visitor detection, customer segmentation, signage effectiveness measurement, store traffic analysis.
Security and Facility Management Continuously monitor visitors in real time.
Unlike traditional detection systems, our API recognizes and groups individuals, making it easy to search event logs later if an incident occurs. Examples:
Suspicious person tracking, demographic-based filtering, access control analytics.
Fraud Prevention and Access Control Record every visit automatically and track visit counts to detect repeat behavior.
Ideal for preventing resales, unauthorized entries, or fraudulent activities.
Examples:
Resale prevention, brand protection, vote fraud prevention.
4.Anonymous Recognition – A Game Changer in Flow Analytics
The most innovative feature of the People Analytics API is anonymous recognition—it identifies and tracks visitors without requiring any pre-registered photos or personal data.
Traditional human flow analytics systems could only detect people generally, without distinguishing individuals.
While convenient, this limited the ability to perform detailed, person-level analysis.
Our anonymous recognition technology retains the ease of AI video analytics—no personal database or sensors required—while enabling more precise, privacy-safe customer behavior analysis.
5.Concept of People Analytics API
In online access analytics, user behavior is analyzed in detail by identifying each user through information provided on the user’s side—such as cookies, device IDs, or membership data—when visiting a website or application.
By using this information as a key, it becomes possible to link access data to each page or button, allowing for detailed insights such as session duration and page view history (the order in which pages are visited).
In contrast, at physical locations such as retail stores, users do not actively provide identifying information each time they visit, as they do online.
The People Analytics API was designed with the concept of enabling the same level of detailed behavioral analysis in real-world environments as in online access analytics.
Instead of relying on user-provided data, the system uses face-based identifiers to recognize and associate visitors’ movements across different areas captured by cameras, successfully transforming individual “points” of data into meaningful “lines” that represent the customer journey.
6.Nabla Works’ Face Recognition Solutions
At Nabla Works, we offer a wide range of face recognition solutions, from face recognition-based entry/exit management and reception systems to various software and cloud services that allow you to integrate face recognition into your own systems.
Experience firsthand the convenience and high accuracy of our face recognition solutions!
Please note: The English content on this page has been automatically translated by AI. It may contain inaccuracies or grammatical errors.