Retail

Product detection uses deep learning to detect different product types automatically.

Use cameras for automated object counting with deep learning.

Automatically identify suspicious or dangerous objects placed in public places.

Perform facial analysis to detect attributes such as gender, age, emotion and more.

Track the length of time a person spends looking at a display or remains in a specific area.

Monitor social distancing between people, identify high-risk areas and non-compliance.

Automatically detect unmasked people in public spaces or indoors.

Crowd detection application to identify human movement trajectories in public spaces.

Detect intrusion events in pre-defined areas by identifying the target's position, date and time.

Complete application to detect vehicles with Computer Vision and Deep Learning

Area-based people counting in real-time using common surveillance cameras.