Is this in reference to a particular spot, or to create a general product?
Is the jump off point at or nearly at a publicly accessible area?
I think your rate of false positives will be inversely proportional to how difficult it is to get to the spot. Once you get to the spot though, I'm thinking that it will be hard to distinguish a jumper from your ordinary tresspasser.
If you are only interested in the jumpers, I think the false positive rate would be way too high assuming you want a reasonably low false negative rate.
We are looking to create a general rule as there is no one specific spot with all areas accessible to the public .
IPVMU Certified | 01/31/16 03:56pm
We worked on one of these once. The mission was not to detect behavior, but to detect the body falling for police and medical response. Line crossing was tried and it didn't work.
Better solution would be to install a suicide hotline phone on the bridge itself.
I see this a lot with analytic requests when end user's expect cameras to solve the problem of lacking physical infrastructure. For example, end user requests an analytic to detect a truck pulling up to a building before it blows up. What difference will the analytic make; it won't prevent the truck from blowing up and you won't have enough time to evacuate the building. Better solution is to physically make it impossible for an unauthorized truck to get near the building.
Same thing goes for bridges and jumpers. Make a better bridge that doesn't allow for jumpers; put up a higher fence, or put a net underneath. Analytics won't prevent anything, just alerts you it's happening.
The Gap at Watsons Bay in Sydney has something similar, thermal and cross line detection as well as help points that go straight to a suicide prevention line or police. You may be able to reach out to them for advice / feedback on the success of the project.
We are currently working on this application and there are some interesting features that can be used to detect if somebody is planning to commit suicide.
I agree on the fact that you can't be 100% sure but there are some things that can be done.
We currently use this system (thermal camera based) on train platforms and alongside train tracks. As you can imagine, these are also a target location for people wanting to commit suicide.
Several years ago, we did a project in phase with an access security project on a bridge. The bridge by itself have several restricted access and nobody usually goes walks there without authorisation. Due to the fact that all the walking path must remain open, the decision was to improve our delay of response by adding analytics detection at the beginning of the bridge. Depending on the situation, the quick response of emergency can really help to avoid the worst case. We used analog thermal camera with analytic encoder. The units can detect walking human or car and send alerts through our vms apps. The loitering detection was not used but was available.
The resultats was and are still pretty accurate.
The only issue we have is when it's rainy/snowy outside the analytics generates false alarms.
I think the suicide hotline phone is a good idea too..
If you need anything else, you can pm me.
Thanks for all the fantastic feedback I will keep you posted on how we get on .