Xovis Staff Exclusion Icon

Staff Exclusion

26.06.2019

Sensors count all people, detect the Staff Exclusion pattern and thus clearly identify employees and exclude them from the counts

Challenge

When running a business of any kind, one of the most necessary bits of basic information is the number of customers/visitors. But in practice numbers are easily distorted when staff are also counted. Inaccurate systems or manual counting can be a source of error.

  • So far collected data included all people counts, but the number of employees could not be excluded
  • Unfiltered data fed into an analytics tool leads to obscure results. The conclusions drawn are based mostly on assumptions rather than facts
  • Activities are planned by guesswork, using additional expensive systems or inaccurate manual methods to exclude staff from customer/visitor counts

 

The Xovis all-in-one solution

Make staff visible to your Xovis sensors. Benefit from all existing functions and add value simply by installing the Staff Exclusion plugin.

  • Equip staff with specially designed tags, all with the same standardized Xovis pattern
  • Along with the existing Xovis data protection concept, staff privacy is taken into account. The pattern is uniform – single members of staff cannot be identified
  • Sensors count all people, detect the pattern and thus clearly identify employees and exclude them from the counts
  • AI firmware has been trained to visually detect the Xovis Staff Exclusion pattern. When the plugin is activated, the pattern is detected by the sensors and staff are excluded
  • Staff are visualized live in the WebUI for easy verification
  • Data provides the total counts of customers/visitors with staff counts excluded 
  • No additional system or device required. AI-powered Xovis sensors, running an AI-based people counting algorithm, provide an embedded solution. Everything is computed on the sensor, with no need for external processing power

 

Xovis Staff Exclusion visualization in the Web UI

Visualization of Staff in the Web UI

Xovis Staff Exclusion Name Tags black/white and red/white

Xovis Staff Exclusion Name Tags

Technical Data
 

An AI-enabled sensor running firmware version 4.2.0 (and later versions) is required for the Staff Exclusion plugin. The AI firmware runs on the following sensor models:

AI-powered by default AI-powered by free firmware upgrade
 
  • PC2S Standard
  • PC2S – L
  • PC2S – UL
 
 
  • PC2R Standard
  • PC2R – L
  • PC2R – UL
 
  • Activate the license on each sensor by adding the ID “PISTE” according to the AI Functions Quick Guide and the PC-Series User Manual
  • Use the free 30-day evaluation to test the plugin
  • Purchase an unlimited license code or use a recurring license through the Xovis Cloud
  • Staff are excluded in line count data
  • Object stream shows whether a track should be counted (customer) or not (staff)   
  • WebUI visualization depending on privacy level
  • Very low or high mounting heights (see height table) make the pattern invisible to the sensor
  • Unfavorable lighting (too dark or too bright) also limits pattern readability and accuracy
  • Thermally challenging setups, such as direct sunlight on the sensor, direct mounting on isolating materials such as plaster ceilings etc., can lead to a throttled-down operation mode
  • Potentionally reduced performance when combined with the Gender Statistics plugin in very crowded settings
  • Xovis SPIDER processing unit recommended for larger Multisensor setups (>9 devices) and for all settings more complex than a wide Multisensor counting line


yes =  supported

non-recommended = not recommended by Xovis, verify individually

no = not supported / ineffectice

  PC2S-UL / PC2R-UL PC2S-L / PC2S-L PC2S Standard / PC2R Standard
2.2 m / 7'3" no no no
2.3 m / 7'7" non-recommended no no
2.4 m / 7'11" yes no no
2.5 m  / 8'2" yes yes non-recommended
2.75 m / 9'0" yes yes non-recommended
3.0 m / 9'10" yes yes yes
3.25 m / 10'8" yes yes yes
3.5 m / 11'6" non-recommended non-recommended yes
3.75 m / 12'4" no non-recommended non-recommended
4.0 m / 13'1" no non-recommended non-recommended
4.5 m / 14'9" no non-recommended non-recommended
5.0 m / 16'5" no no no
5.5 m / 18'1" no no no
6.0 m / 19'8" no no no

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