Detecting Falling Objects with a LiDAR

AI Thread Summary
The discussion centers on using a LiDAR system to detect falling objects, with a scanning frequency of 100Hz and an angular resolution of 1°. The user is concerned about effectively detecting vertical falling objects while scanning horizontally, questioning the limitations of the LiDAR's scanning method. There is a suggestion to rotate the LiDAR vertically to improve detection capabilities. The user aims to identify objects thrown from heights, like balconies or bridges, while minimizing false positives, such as birds. The conversation highlights the potential advantages of using conventional cameras with image processing over LiDAR for this application.
daniel1211
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I am experimenting with a LiDAR system, one of my goals is to detect falling objects. The scanning frequency is 100Hz with an angular resolution of 1°. I have been able to detect an object if it is a certain size or greater moving horizontally but I'm not sure what I should focus on to make sure that it will see an object falling vertical as it scans horizontal.
 
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Where do the objects fall?
If you can just scan a narrow horizontal line, I guess you'll miss some objects that fall through faster than your scanning frequency.
 
rotate the LIDAR so it is vertical

do you need to detect speed of the falling object or just that it is there ?

if just that it is there ... why use a LIDAR ?

tell us more about what you are trying to achieve ... as in explain you project clearly

Dave
 
I would like to detect if objects are being thrown over a balcony, edge, bridge, etc... but I would also like to avoid false positives such as a bird.
 
daniel1211 said:
but I would also like to avoid false positives such as a bird.

in an open area ... that is going to be virtually impossible
 
Well, most birds have a motion different from falling objects, but I don't see why a LIDAR would be used. A conventional camera and some image processing looks easier.
 
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