People counter: Wikis


Note: Many of our articles have direct quotes from sources you can cite, within the Wikipedia article! This article doesn't yet, but we're working on it! See more info or our list of citable articles.


From Wikipedia, the free encyclopedia

A people counter is a device used to measure the number and direction of people traversing a certain passage or entrance per unit time. The resolution of the measurement is entirely dependent on the sophistication of the technology employed. The device is often used at the entrance of a building so that the total number of visitors can be recorded. Many different technologies are used in people counter devices, such as infrared beams, computer vision and thermal imaging.


Reasons for use

There are various reasons for counting people. In retail stores, counting is done as a form of intelligence-gathering. The use of people counting systems in the retail environment is necessary to calculate the Conversion Rate, i.e. the percentage of a store's visitors that makes purchases. This is the key performance indicator of a store's performance and is far superior to traditional methods, which only take into account sales data. Traffic counts and conversion rates together tell you how you got to your sales. i.e. if year-over-year sales are down: did fewer people visit my store, or did fewer people buy? Although traffic counting is widely accepted as essential for retailers, it is estimated that less than 25% of major retailers track traffic in their stores. [1]

Since staff requirements are often directly related to density of visitor traffic, accurate visitor counting is essential in the process of optimizing staff shifts. Services such as cleaning and maintenance typically must be done when traffic is at its lowest or, occasionally, at a certain level. Planning of these activities necessitates accurate people counting.

For many locations such as bars or factories, it is essential to know how many people are inside the building at any given time, so that in the event of an evacuation due to fire they can all be accounted for. This can only be automated with the use of extremely accurate people counting systems. Although, no people counting system is 100% accurate and therefore must not be entirely relied upon for the purposes of health & safety, an electronic people counting system offers a more accurate means of managing occupancy than tally counting by hand.

Many public organizations use visitor counts as evidence when making applications for finance. In cases where tickets are not sold, such as in museums and libraries, counting is either automated, or staff keep a log of how many clients use different services.

Many shopping mall marketing professionals rely on visitor statistics to measure their marketing. Quite often shopping mall owners measure marketing effectiveness with sales. A trend has been to include visitor statistics to scientifically measure marketing effectiveness. Marketing metrics such as CPM (Cost Per Thousand) and SSF (Shoppers per Square Foot) are becoming very useful key performance indicators. Shopping mall owners often also set the rent according to the total number of visitors to the mall or according to the number of visitors to each individual store in the mall.

More advanced People Counting technology can also be used for queue management and customer tracking.


Modern people counting systems use many different technologies, each with its own advantages and disadvantages. The main types are listed below.


Tally counter

A hand-held tally-counter, sometimes called a clicker-counter, would be used; one press per person. To reset the counter, one would have to turn a knob, resetting most counters' display to "0000".

Infrared Beams

The simplest form of counter is a single, horizontal infrared beam across an entrance which is typically linked to a small LCD display unit at the side of the doorway or can also be linked to a PC or send data via wireless links and GPRS. Such a beam counts a 'tick' when the beam is broken, therefore it is normal to divide the 'ticks' by two to get visitor numbers. Dual beam units are also available from some suppliers and can provide low cost directional flow 'in' and 'out' data. Accuracy depends highly on the width of the entrance monitored and the volume of traffic.

Vertical beams are somewhat more accurate than horizontal, with accuracies of over 90% possible if the beams are very carefully placed. Typically they do not give 'in and out' information, although some directional beams do exist.


  • Inexpensive
  • Simple to fit


  • Most basic beam sensors are limited to non-directional counts
  • Can't discern people walking side-by-side
  • Cannot count high volume, uninterrupted traffic
  • High potential to become blocked by people standing in an entrance or by merchandise or displays

Computer Vision

Computer vision systems typically use either a closed-circuit television camera or IP camera to feed a signal into a computer or embedded device. Some computer vision systems have been embedded directly into standard IP network cameras. This allows for distributed, cost efficient and highly scalable systems where all image processing is done on the camera using the standard built in CPU. This also dramatically reduces band width requirements as only the counting data has to be sent over the Ethernet.

Accuracy varies between systems and installations as background information needs to be digitally removed from the scene in order to recognize, track and count people. This means that CCTV based counters can be vulnerable to light level changes and shadows, which can lead to inaccurate counting. Lately, robust and adaptive algorithms has been developed that can compensate for this behavior and excellent counting accuracy can today be obtained for both outdoor and indoor counting using computer vision.[citation needed]


  • High accuracy, in correct conditions sometimes over 98%[citation needed]
  • Directional information
  • Flexible in customization
  • Highly scalable when embedded in IP cameras
  • Integration with other systems


  • Higher cost than beam systems
  • May require repeat visits for calibration
  • Lower lifetime and higher power consumption than thermal systems
  • Many systems require PCs are not fully embedded
  • Less simple implementation than beam systems
  • Accuracy can be affected by differing light levels

Thermal Imaging

Thermal imaging systems use array sensors which detect heat sources, rather than using cameras as in computer vision systems. These systems are typically implemented using embedded technology and are mounted overhead for high accuracy. Because they are detecting the emitted heat from people, they are able to count in all lighting levels, and also do not need to employ complex background removal algorithms used in computer vision systems. This leads to a more stable and accurate people count.


  • Directional information
  • Not affected by differing light levels
  • Can count in complete darkness
  • None intrusive usually ceiling mounted
  • identifiable images of people are not taken
  • High accuracy, in correct conditions over 98% (see for the IRC3000 Counter Accuracy Statement)
  • Very long lifetime - MTBF >25 years
  • Highly scalable, fully-embedded IP Systems
  • Networkable to cover wide entrances


  • Higher cost than beam systems
  • Lower field of view than video systems
  • Cannot be used with ceiling heights below 2.2m

Synthetic Intelligence

This system employs multiple IR transceivers to create a count zone at ankle height. The artificial intelligence counters function in a similar way to the human brain, in other words, each event is evaluated in terms of features to determine the correct outcome i.e. count per direction. As a person passes the count zone a pattern is generated. The onboard processor extracts the features of the pattern and based on what it has been taught makes a decision regarding the event by brute force calculation.


  • Accuracy of 96% or higher[citation needed]
  • Directional information
  • Discriminates between human and non-human objects
  • Sensors can count in outdoor environments
  • Can count in all lighting conditions
  • Can count in complete darkness


  • Larger, more obtrusive design than other types of sensing technology.
  • High potential to become blocked by people standing in an entrance or by merchandise or displays.
  • Cannot count high volume, uninterrupted traffic


  1. ^ HeadCount Corporation. "Why Track Traffic" (in English). HeadCount Corporation. Retrieved 2007-05-30. 

[SenSource People Counting Technology] [Axiomatic People Counting Technology]

External links


Got something to say? Make a comment.
Your name
Your email address