Hi – we have recently installed a Telraam and it seems to be systematically undercounting cyclists and pedestrians; are there any tips we should take into account to optimise its performance; e.g. is it a problem if it is two floors above ground level?
it will depend on the view from that location. You have to remember a couple of things:
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it is a camera, so it needs to see the objects, but it is low resolution so they need to be reasonably clear. If they are obscured or too distant, the device may struggle
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it is an AI, and it is trained on object largely seen from the side. A pedestrian looks rather different from the side and from above, so the angle will have some effect
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it is a device that has been designed to be cost-effective and sufficient to get useful data over time. It cannot guarantee 100% accuracy on any category, but particularly for small objects like pedestrians or bikes, especially when they may be obscured by walking / cycling in groups.
There are many reasons counts will be under an absolute number, but since they are systematic and continuous, you will get a very good picture of trends across time and over periods like days / months / seasons, etc.
One thing to check is whether you have set the ROI - as this can help the device to focus on the key areas and even zoom slightly if they are further away.
Lastly, if you want to send us a validation count, that will always help to decide how different the counts are and whether there is anything more we can suggest:
Take a look at our counter setup here in Provincetown. It seems to do a very good job counting pedestrians as long as there isn’t anything obstructing the view of the street (occasionally a car parks in the street and the counts drop precipitously). I’ve done a number of manual validation counts to confirm this.
https://telraam.net/en/location/9000005547/2024-05-28/2024-06-05
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Thanks for the comments – modifying the field of view has definitely helped with the pedestrians.
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