Pass IQ

Automated People Counting Systems
Pass IQ 3G is the market leading system for automated People Counting Systems used to audit the Customer / visitor footfall. The use of standard industry hardware and software has enabled Pass IQ to achieve a high level of accuracy and compatibility. This, in combination with Pass IQ exclusive sensor and data handling components, guarantee customers easy transition to the industry leading accuracy and reliability of people counting solutions.
Pass IQ platform allows web-based reporting solutions which includes automated email reports of visitor flow counting, plus Real time visualization and graphic flow analysis. Users can, therefore, access the data they need from anywhere on the planet via internet connection.


Main Features:

  • Support multiple sensor technologies
  • Local data logging / data back up
  • Compressed and encrypted data
  • Automatic Reports via emails
  • SMS/Email alerts
  • Remote access to data
  • Standard web server access
  • Graphical overview of all entrances and zones
  • Real time Visualization
  • Self Diagnostic

Pass IQ system consists of base software that reads and saves data from counting positions into SQL-database. From this database various reports and visualizations can be generated, as described below.

Pass IQ uses intelligent self-learning algorithms that compensate for system leakages, if any, to get corrections to the online occupancy that are calculated. Algorithms are run at the end of each day to audit and confirm the actual measurements from the day. Accuracy and reliability are the cornerstones of our system and is the differentiator for our solutions that makes Pass IQ the industry leader.

Pass IQ is self diagnostic that is set-up for online service and support. Pass IQ incorporates a number of automatic system checks to detect errors or abnormalities in the system behavior. Automatic emails will be generated when the system detects an abnormality whether it is a hardware failure or simply a drastic change in traffic levels as compared to historic trends.