Documentation for Axxon One 2.0 version. Documentation for Axxon One 3.0 version is also available.


You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 4 Next »

Hardware requirements for neural analytics operation

Camera requirements for the operation of the Equipment detection (PPE) are given in the table:

Camera
  • Resolution must be at least 640x360. We also don't recommend using a resolution higher than 1920×1080, since higher resolution doesn't increase the detection quality, but significantly increases the consumption of resources. The optimal resolution for solving typical tasks is 1280x720
  • The frame rate per second in the video stream from the camera is at least 3 for solving typical tasks
  • Detection-based analytics works with color images only

Attention!

  • Correct operation of the detection tool isn't guaranteed when using a fisheye lens.
  • The camera tilt angle from top to bottom on a person wearing equipment must not exceed 30°. Otherwise, the detection tool won't operate correctly.
    The following diagrams show the examples of:
    • The acceptable tilt angle:
    • The unacceptable tilt angle:
 
Lighting
  • Lighting in the scene is at least 200 lux. The detection tool is applicable in conditions of artificial light. In conditions of insufficient or excessive lighting (night or light-striking), stable operation of the analytics isn't guaranteed
  • No abrupt changes in lighting
Scene and camera angle
  • Moving objects are visually separable from each other
  • The background is mostly static and doesn't change abruptly
  • There are no products made of rods in the detection area
  • Moving objects are minimally obscured by static objects in the scene (columns, industrial products, and so on)
  • The analyzed scene doesn't have reflective surfaces. If present, they must be masked
  • Camera shake doesn't result in image offsets greater than 1% of the frame size
Object images
  • The detected object (equipment or PPE) must be clearly distinguishable by the human eye
  • The image isn't noisy and not distorted by the artifacts of compression algorithm
  • The width or height of the equipment doesn't exceed 75% of the frame size
  • The duration of the object's visibility is at least 3–8 frames. The minimum number of frames depends on the task
  • There are no visible physical barriers between the camera lens and the analyzed object

  • The minimum sizes of equipment on body parts in pixels are observed. Example of equipment dimensions for a resolution of 1920x1080:

    • Upper body (torso) 75*100

    • Legs 75*105

    • Head 60*65

    • Hands 65*60

    • Feet 45*40

    • Set of equipment 165*295

  • The minimum value of pixel density per meter is observed:
    Image resolutionObject typeMinimum pixel density per meter (ratio of the object width in pixels to the object width in meters)Minimum object size in pixels, width x height
    1920x1080Human170~102x309
    1280x720Human128~77x233
    640x360Human80~48x145



  • No labels
Error formatting macro: children: java.lang.NullPointerException