People counting is a technology that uses computer vision to detect and count people in a scene, often to count individuals or groups. The first people counters were simple devices that counted humans by detecting their shadows.
Modern people counters use machine learning techniques such as neural networks, but the basic idea is still the same.
Know the number of people in a particular area with multiple regions of interest. This can be done to capture people traffic, like at the front door, gate, elevator, lift, lobby, etc. Using Nodeflux People Counting, organizations can seamlessly gather the number of visitor data and analyze peak hour on each respective area.
To count crowds at events like concerts, parades, or protests.
To help retailers determine the number of customers in their stores.
To monitor traffic flows on roads and highways.
To monitor pedestrian flows across bridges, tunnels, and other transport infrastructure.
Real-time insights about customer behavior
Capture and analyze mass traffic from multi locations.
Optimizing flows and advertisement positioning
Estimate marketing exposure
Identify whether the person going in or going out in a determined area.
Provide accurate data about the number of people in an area at any given time
Time to time comparison, easy to monitor the trend of the hotspot area.
Able to provide accurate data without any errors or delays in reporting.
Enables multiple counting capability within a frame, cover a wider area for specific needs.
Easy To Use