Irisys has always had a very simple approach on the question of how to provide useful data from our sensors – give our partners and end-users access to the most complete picture possible and then let them draw their own conclusions from the data. This philosophy isn’t just a software consideration, it’s even built into the design of our hardware, and one of the factors that influences the technologies we choose.
When we started developing the Vector 4D people counter, we looked at the different types of information that our end-users wanted to gather, and we concluded that using time-of-flight technology as our primary sensor was going to be the best way to gather them. From the basic high accuracy people counting functionality that forms at the core of our sensors to the more complex monitoring of dwell time and height measurement, time-of-flight (TOF) stands out as the most robust method of data collection.
For people counting, TOF offers a strong and tested method of differentiating people from the background across a range of environmental conditions. For dwell it offers a reliable way of tracking and monitoring people within the counting area, even in the densest of crowds. And for height differentiation, TOF enables direct height measurements can be taken to a level of accuracy and detail that is simply unachievable by other technologies like stereo video. Where other sensors are limited to discounting everyone below a predetermined height estimate, Vector 4D directly measures everyone that passes underneath and gives an accurate figure.
Where all the data is available the end-user can apply multiple different analyses, and try different methods to understand the results they get. When data is limited to only the figures that the hardware thinks people want to see, or is limited by its technical capability to making rough estimates, then the end-user doesn’t get a clear picture of the whole situation.