Requirements and recommendations for the Emergency Vehicle Detection module🔗

Hardware and software

Warning

The Eocortex Neural Networks package must be installed before it will be possible to use neural networks-based features of 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 Eocortex Neural Networks package to the corresponding version.

Video stream

  • Frame frequency: no lower than 10 frames per second;

  • Image resolution: no lower than HD (1280x720).

Image

  • The image must be in color.

Scene and camera position

  • Emergency vehicle must be fully in the frame;

  • The camera angle must be adequate to correctly identify the type of emergency vehicle;

  • Emergency vehicle must not be covered by other objects;

  • Emergency vehicle must be clearly distinguishable from the background;

  • Vehicle should not be overexposed.

Object size

To successfully detect objects in a frame, their size must be at least 80 pixels in height. In addition, they must correspond to the following dimensions relative to the frame parameters:

  • Passenger cars must occupy at least 4% of the width and 4% of the height.

  • Trucks — at least 7% of the width and 9% of the height.

  • Buses — at least 5% of the width and 7% of the height.