FaceTrack
A technology that uses computer vision and machine learning for
facial tracking and identification. Both in real-time and for analyzing
previously recorded photo/video materials).
facial tracking and identification. Both in real-time and for analyzing
previously recorded photo/video materials).
Areas of use
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Retail and Shopping Centers:
- facial recognition for loyalty programs;
- accurate visitor counting without duplicates;
- tracking the user spent time and customer return rate;
- searching for people in the shopping center (in case someone is lost).
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Wholesale Warehouses and Manufacturing:
- access to the warehouse, sectors and cells using facial recognition.
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Education and HR:
- attendance tracking and access using facial recognition;
- work time and overtime work tracking, data entry for payroll calculation.
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Security Systems:
- collecting visitor photos and warning about suspicious visitors;
- detecting theft attempts.
ItemTrack
This is a technology that uses computer vision and machine learning to track the objects, goods, and products with which users and customers interact.
Areas of use
-
Retail and Shopping Centers:
- self-service checkout with automatic addition of goods to the sales receipt without scanning barcodes;
- weighing stations for automatic recognition of bulk products and printing sales receipts;
- recognition of "empty" zones in the layout for prompt restocking in the sales area;
- automatic layout matching with the planogram;
- detection of abandoned goods;
- quality control of the product appearance;
- checking of the recycling bin contents and paid sales receipts to prevent theft at the self-service checkouts.
EmotionTrack
This is a technology that uses computer vision and machine learning to track users' emotions and moods, both in real-time and based on previously recorded photo/video materials
Areas of use
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Retail and Shopping Centers:
- analysis of zones where people experience certain emotions;
- analysis of customer satisfaction level with service.
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Security:
- monitoring mood in places of mass gathering to prevent disturbances.
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Negotiations:
- assessing emotional reactions during business meetings and negotiations.
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Education:
- analysis of students' emotional response to the material and lecturer.
CrowdTrack
It is a technology that uses computer vision and machine learning for working with crowds in real-time.
Areas of use
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Retail and Shopping Centers:
- analyzing the “hot” and “cold” zones in the area to change product layout;
- analyzing visitor flow direction and adjusting it to increase time spent in shopping areas;
- detecting queues and automatically notifying employees.
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Place of provision of services and transport junction:
- queue monitoring for optimization of places of service provision;
- ensuring social distancing per epidemiological recommendations;
- preventing crowding and maintaining sterile zones.
