Understand customer behavior inside the store

AI model trained to recognize facial expressions associated with emotions — happiness, sadness, fear, disgust, surprise, anger, contempt and neutral. It measures in real time how customers, students and audiences react to products, service, classes, storefronts and presentations.

How it works

1. 1The YuNet detector locates the faces in each frame.
2. 2The HSEmotion model (trained on the AffectNet dataset) classifies 8 emotions with probabilities.
3. 3Readings are smoothed over time per person to avoid fluctuations.
4. 4A satisfaction (valence) index summarizes the audience's mood minute by minute.

Benefits

• Objective emotional feedback, without questionnaires.
• Identifies the moments and products that generate the most delight (or frustration).
• Complements NPS and surveys with continuous, anonymous data.

Automatic detection of water, oil, chemical and effluent leaks from cameras. The system identifies the source, measures the affected area and tracks how it evolves, triggering alerts for containment before the problem causes downtime, accidents or environmental damage.

How it works

1. 1Cameras cover critical areas (pump houses, tanks, pipes, docks, factory floors).
2. 2Text-prompted segmentation (CLIPSeg) marks the outline of jets, drips, runoff and puddles — without scene-specific training.
3. 3Regions that look more like vapor or smoke are discarded; the model trained by Neural reinforces detection.
4. 4The leak is confirmed in at least 3 of 5 consecutive frames, avoiding alarms caused by reflections.
5. 5The affected area is measured frame by frame to identify spreading.
6. 6Alerts with images are sent to maintenance and the occupational safety team.

Benefits

• Early detection reduces product loss and machine downtime.
• Prevents slips and falls — one of the leading causes of accidents.
• Avoids soil contamination and environmental fines.
• Historical records for predictive maintenance.

Automatic, anonymous people counting: entries and exits through a virtual line, real-time occupancy, unique visitors, average dwell time and a heat map of the most visited areas — turning cameras into an audience sensor for operations and marketing decisions.

How it works

1. 1Each person is detected and tracked with an anonymous identifier.
2. 2Crossing the virtual line defines an entry or exit.
3. 3Accumulated positions form the circulation heat map.
4. 4Reports by hour, day, week and store support staffing, layout and campaigns.

Benefits

• The store's real conversion rate (traffic × receipts).
• Staff scheduling aligned with peak traffic.
• Product layout and display guided by the heat map.
• Capacity control for safety and fire code compliance.

Automatic measurement of queue length and wait time at checkouts, counters, reception desks and service windows. When the queue exceeds the limit, the system recommends opening a new service point — before the customer gives up on the purchase.

How it works

1. 1A queue zone is drawn on the camera image.
2. 2Each person in the zone is tracked and their wait time measured.
3. 3Leaving the zone counts as being served.
4. 4Long-queue and excessive-wait alerts are sent to management.

Benefits

• Fewer abandoned purchases due to long queues.
• Compliance with maximum wait time regulations.
• Checkout staffing based on real data.

Anonymous estimation of the audience profile — gender and age range — from cameras. The data feeds audience reports and Personalized Media: screens and kiosks display the content that best matches the profile of whoever is passing by at that moment.

How it works

1. 1Faces are detected and tracked while they remain in the field of view.
2. 2A Vision Transformer (ViT) estimates age in years and gender from frontal faces, several times per person.
3. 3Readings are consolidated per person (median age and mean gender probability), which eliminates fluctuations.
4. 4Each person is counted only once, without storing images or identity.
5. 5The aggregated profile triggers the most relevant media/campaign recommendation.

Benefits

• Know who actually visits the store (not just who buys).
• Campaigns and product mix aligned with the real audience at each time of day.
• Proven audience to sell media space to partners.