Requirements and recommendations for the Fall Detection module🔗

Hardware and software

Warning

It is required to install the neural network package before using the module.

The following equipment is required to use this neural network-based module:

  • A processor that supports AVX instructions;

  • An NVIDIA video card (GPU) with the computation capacity index of at least 6.5 and with at least 4 Gb of memory; the parameters and performance of the video card must be similar or better than those of NVIDIA GTX 1650 Super model;

  • Version of the video card driver at least 460;

  • Swap file at least half of the total RAM size.

If the package will be installed on a virtual machine, it may additionally be required to:

  • Enable support for AVX instructions in the guest machine settings;

  • Use GRID drivers for GPU virtualization.

Warning

Eocortex must use video cards selected for running neural networks in monopoly mode. It is not allowed to use such card for other applications or tasks that consume GPU resources, including for displaying video. Simultaneous use of a video card for several tasks may lead to incorrect system operation: from analytics performance degradation to server instability.

Warning

The neural network works with the 64-bit version of Eocortex only.

Warning

When upgrading Eocortex to another version, it is necessary to also upgrade the install the Eocortex Neural Networks package package to the corresponding version.

Video stream

  • Frame frequency: at least 10 frames per second;

  • The optimal resolution is HD or FullHD.

Image

  • Lighting in the frame should be uniform and constant.

  • If the camera is installed in front of a bright light source (the sun behind the entrance door, etc.), it is necessary to adjust the exposure (or brightness) so that the objects in the frame have a natural color (not overexposed or too dark). In this case, an overexposed background is acceptable.

  • The image must be in color.

  • Image quality should be at least average. There should be no significant compression artifacts.

  • White balance must be adjusted correctly.

Scene and camera position

  • People to be detected must be visible in the frame while standing, full-length, not overlapped by other objects.

  • The dimensions of detected people should be at least 8% of the frame height.

  • The frame must not contain reflective surfaces: glass, mirrors, etc.

  • The camera may be placed above the face level, directly facing the people to be recognized. In such a case, the camera elevation angle must not exceed 35°.