Optimize retail operations with accurate real-time people counting that provides valuable insights into customer traffic patterns, peak hours, and space utilization.
People counting with computer vision uses deep learning algorithms to detect and track individual people in real-time video of common surveillance cameras, providing high accuracy in both indoor and outdoor retail environments.
Automated people counting helps retailers analyze customer traffic, ensure compliance with capacity regulations, and make data-driven decisions for staffing and store optimization.
Discover the powerful capabilities that make our People Counting solution industry-leading.
People detection with deep learning models to detect humans and their trajectory with high accuracy
Define regions of interest within the camera image to focus on entrances, exits, and specific areas
High-performance deep neural networks count people in complex, crowded retail spaces
Automatic contactless counting without physical tracking devices or costly installation
Get started with our People Counting solution and experience the power of AI computer vision technology.
Discover our comprehensive suite of computer vision solutions designed to enhance operational efficiency.
