Bosch Security and Safety Systems
Get to know Camera Trainer
Camera Trainer uses machine learning to allow you to define objects of interest and generate detectors for them. In contrast to the moving objects detected by Intelligent Video Analytics,  Camera Trainer allows detection of both moving and non-moving objects.  
Machine learning for object detection is the process of a camera determining a good separation between positive (target) samples and negative (background) samples. To do this, the Camera Trainer machine learning algorithm builds a model of the target object based on a variety of possible features and thresholds where these features do/don't describe the target object.  
This model building is also called the training phase or training process. Training can be done both on live video as well as on recordings available from the camera. Once the model is available, it's used to search for the target object in the camera images. This model and accompanying search within the image is called a detector. Detectors can be downloaded from a camera and then distributed to other cameras.
Possible applications for Camera Trainer include:  

  • Occupancy of parking spaces
  • Presence of trucks at loading docks
  • Vehicle counting
  • Detect people on train tracks
  • Box pile up in production lines
  • Icicle detection
  • Camera tamper detection via markers
  • Object states, including open, closed, or other position 
Tip: Learn how to set up Camera Trainer 

Camera Trainer is available on all Intelligent Video Analytics cameras with firmware version 7.10 or higher. There is a no-charge activation with license needed and setup must be done with Configuration Manager 6.20 or higher. There is no additional integration effort needed and it's fully supported by ONVIF.
Do an online training via the Bosch Security Academy and get to know how this technology works in more detail. How-to videos are also available on YouTube.
Featured guide

This new technical note provides more detailed information on Camera Trainer and the necessary steps for configuring and training a detector.

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