Two complementary sensors — eCounter for counting and trajectories, eProfile for anonymous demographic profiling — built on next-generation Time-of-Flight technology. GDPR compliant, remotely managed and exposing data via REST/JSON API.
eCounter measures footfall and traffic behavior. eProfile adds anonymous demographic profiling to understand WHO walks into the store.
People-counting sensor powered by Time-of-Flight (ToF) technology. It builds a high-resolution 3D image from reflected infrared rays, without capturing any image or biometric data. Footfall patterns, trajectories, queue management and employee identification.
Anonymous demographic analytics platform based on deep-learning algorithms. It detects body and face, estimates age, gender and expression, and optionally recognizes identity. Fully GDPR compliant without storing any images.
eCounter goes far beyond counting: it traces routes, measures queues and connects promotions with real footfall.
Accurate measurement of passing traffic and storefront interest with 3D ToF technology.
Identifies the common routes inside the store and the activity hotspots.
Daily, weekly and monthly series for operational planning and staffing.
Measures the real effect of campaigns and advertising on in-store traffic.
People in line and average waiting time, in real time.
Identifies and excludes staff from the count so the data stays clean.
eProfile complements counting with qualitative data about who walks into your store. Without storing images and within GDPR.
Number of detected objects, location, size and confidence of each reading (0–100%).
Range 0–74 or over 75 years with associated confidence for demographic analysis.
Male / female classification with confidence for campaign segmentation.
5 categories (neutral, happiness, surprise, anger, sadness) with 0–100 intensity.
Optional individual identification (IDx) for advanced loyalty use cases.
On-edge processing without storing images or identifiable biometric data.
