Activity summaries and more animal tags

The team at the Cacophony Project continue to bring out new features. The two released this week include activity summaries and some new animal tags for Australian animals.

Activity summaries

The latest feature is an option to receive a daily or weekly activity summary. This shows you how many visits were recorded for each animal detected in your project by DOC AI Cam(s). Here's an example I received this morning from one of our research projects in the Port Hills (which has a lot of possums).

You can view view more details about the activity and review the videos by clicking on the View activity button.

If there has been no activity then you'll get an email on the first day/week noting that there was no activity. After that you won't get another email until there is activity.

Setting up activity summaries

This activity summary functionality is only available on our new, beta interface:

Most people will only have one project, however if you have access to more than one, you can select the project that you want to set up the activity summary for by clicking on the project name on the top left.

To set up the activity summary click on the My preferences link on the left 

You can then check whether you would like to receive a daily or weekly activity digest. Clicking on the switch will save your preferences.

New animal tags

 At the request of Australian customers, we have added the following animal tags:

  • Long-nosed Potoroo
  • Rakali
  • Echidna
  • Bandicoot 
  • Koala
  • Fox
  • Wombat
  • Sambar Deer
  • Kangaroo
  • Greg Kangaroo
  • Brush tailed possum
  • Ring tailed possum
  • Goat
  • Cow
  • Blue-tongue lizard
  • Snake
  • Cape Barren Goose
  • Purple Swamphen
  • Raven
  • Currawong 
  • Butcherbird
  • Grey Shrikethrush
  • Bassian Thrush
  • Peafowl
  • Rail

Note: we don't yet automatically identify any of these animals, but as we get enough examples of each we will be able to update our machine vision algorithms.

Here's the first example of a fox recorded on the DOC AI Cam, taken in Victoria Australia.

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