PEKAT VISION DO YOU NEED ASSISTANCE

DO YOU NEED ASSISTANCE

RECOMMENDED HARDWARE

Runtime

  • For typical requirements - fast processing and convenient usage we recommend to use NVIDIA GPU with enough memory. A rough estimation is 3GB per deep-learning module. To be on the safe side we recommend to use NVIDIA GeForce® RTX 2080 Ti.
  • For price sensitive use-cases it is possible to use cheaper NVIDIA GPU.
  • For embedded use-cases we support embedded hardware too - e.g. ARM based devices like NVIDIA TX2 or Xavier. Contact us for more information.

Development

  • For typical requirements - fast processing and convenient usage we recommend to use NVIDIA GPU with enough memory. A rough estimation is 3GB per deep-learning module. To be on the safe side we recommend to use NVIDIA GeForce® RTX 2080 Ti.

HOW TO INTEGRATE PEKAT VISION

Camera is directly connected to PEKAT VISION (GenICam camera)

This option is the easiest. PEKAT VISION processes input from the camera in a loop. You have to enable the camera and set what should happen after evaluation (output).

PEKAT VISION is middleware

You use additional software for capturing images or processing. This method has 3 steps and requires programming knowledge.

  • Send images to PEKAT
  • Pekat processes the image. It returns data structure (JSON) which describes the result.
  • Your script from step 1 processes the response. In the response, there could be information about objects which were found or overall evaluation. You can use the inspection tab for debugging.