Wednesday 13 November 2013

Can Video Analytics stop suicide?

Every year more than 1000 people around the world die inside of Metro railway stations.  The use of Video Analytics can help to identify and prevent suicide attempts. You might wonder how? The answer is very simple: falling detectors.

Falling detectors are used in public and private places for automatic detection of abnormal situations related to falling objects. It is important for high-quality security and reduces the numbers of severe accidents.

Tasks solved by falling detectors may be divided into two categories:
The detection of everything that falls from the platform and the detection of unintentional falls whilst on the platform (serious injuries and citizens living alone). In both cases immediate treatment is very critical, thus falls need to be detected as soon as possible.

In these two cases detectors work in different ways.

In the first case the detection logic is based on signal line intersection. This line is the boundary of the platform and the rails whereby the intersection of it is secured by an alarm signal. Hence the fall detector can automatically track all abnormal situations associated with falling of objects. It increases the speed of response and helps to decrease the number of death.




In the second case the evaluation of falls is more difficult as there is no dangerous boundaries and body movements and the fall is unpredictable. The principle of the fall detection in this case is based on a combination of motion gradients and human shaped features variation. Large movements always accompany falls, but large motion can also be a characteristic of walking person. That is why we need further analysis. An analysis of changes in the human shape. Especially width to height ratio up to a certain threshold is considered to detect a fall. And the last analysis is a luck of motion just a few seconds after the fall. All these steps help to identify falls and can trigger alarm signals in order to provide medical help quickly.



What are the main benefits of fall detection?

Video analytics helps timely response to the fact of people fall in the observed area and helps to providing quick treatment, which in most cases is critical. Therefore it helps to decrease the number of accidents and may save lives.




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2 comments:

  1. I think that kind of guards in station who can react urgent situation and help fallen person are important too. because people around the fallen person have tendency to do not help fallen people immediately.

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    1. Of course, it is important. However, with this camera there is no need for guards to be on each platform, they receive alarm call and can come fast. Moreover, train driver receive information as well and can stop before run over fallen person. I think, it is even more important. So video analysis can not save people lives by itself, but it can help a lot

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