sound_beehive
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sound_beehive [2014/09/17 20:15] – [PROCESSING THE DATA: FROM POINT TO LINE TO CLOUD] ami | sound_beehive [2016/01/13 17:48] (current) – external edit 127.0.0.1 | ||
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In total we stream 8 channels, but we can modify the setup at any time by disconnecting the channels that we don't want to stream. | In total we stream 8 channels, but we can modify the setup at any time by disconnecting the channels that we don't want to stream. | ||
The stream out of the soundcard is a USB which connects to the Raspberry from where we will send the audio+video stream. | The stream out of the soundcard is a USB which connects to the Raspberry from where we will send the audio+video stream. | ||
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[[audio toolbox notes]] | [[audio toolbox notes]] | ||
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We still had to solve the problem of the video codec extension. | We still had to solve the problem of the video codec extension. | ||
To solve the blurry image problem with the PiNoir, we order a new PiCam with 6mm objective and new powerfull ledlights. This setup has still to be installed. | To solve the blurry image problem with the PiNoir, we order a new PiCam with 6mm objective and new powerfull ledlights. This setup has still to be installed. | ||
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[[video toolbox notes]] | [[video toolbox notes]] | ||
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Vibrations as communication tool: Years after von Frisch interpreted the symbolism of the dances, Wenner and Esch independently found that dancing bees make sounds during their waggling run. Both men suggested that the sounds might help the dancer attract an audience in the dark nest. Many researchersdoubted this premise becausethey thought bees could not hear airborne sounds. Still, the notion was not ignored altogether. Many insects, including bees, are quite sensitive to vibrations. Hence, some investigators speculated that the sounds the foragers produced could vibrate the combs under their feet as they danced. The comb vibrations might then advertise the dance to those bees who could not otherwise see the forager. | Vibrations as communication tool: Years after von Frisch interpreted the symbolism of the dances, Wenner and Esch independently found that dancing bees make sounds during their waggling run. Both men suggested that the sounds might help the dancer attract an audience in the dark nest. Many researchersdoubted this premise becausethey thought bees could not hear airborne sounds. Still, the notion was not ignored altogether. Many insects, including bees, are quite sensitive to vibrations. Hence, some investigators speculated that the sounds the foragers produced could vibrate the combs under their feet as they danced. The comb vibrations might then advertise the dance to those bees who could not otherwise see the forager. | ||
One of us (Kirchner), together with Axel Michelsen of Odense University in Denmark, answered part of this question several years ago. In their experiments, | One of us (Kirchner), together with Axel Michelsen of Odense University in Denmark, answered part of this question several years ago. In their experiments, | ||
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[[sensor toolbox]] | [[sensor toolbox]] | ||
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The calculated daily average over the year is a mild average, knowing that 1 day folder on june 21 (longest day, 3am -> | The calculated daily average over the year is a mild average, knowing that 1 day folder on june 21 (longest day, 3am -> | ||
Transfer from the NAS to another archiving hard disc goes very slow. The folder of 1 day (= 2 camera' | Transfer from the NAS to another archiving hard disc goes very slow. The folder of 1 day (= 2 camera' | ||
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[[storage_archiving]] | [[storage_archiving]] | ||
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A month after their arrival, the colony is super well developed. The 6 middle frames are completely build out, and the 2 outer frames are nearly completed. The bees build wax around all piezo' | A month after their arrival, the colony is super well developed. The 6 middle frames are completely build out, and the 2 outer frames are nearly completed. The bees build wax around all piezo' | ||
Alltogether we can clearly observe that a honeybee colony in a Warré beehive develops at its own pace, which is slower than in a ' | Alltogether we can clearly observe that a honeybee colony in a Warré beehive develops at its own pace, which is slower than in a ' | ||
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[[bringing in the bees]] | [[bringing in the bees]] | ||
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- | =====BIO-ACOUSTIC SOUND ANALYSIS===== | + | =====STREAMING===== |
- | {{gallery>: | + | Since end of september we've steup a streaming camera connected to a Raspberry Pi computer. We are also streaming the sound of the 2 microphones at the entry of the beehive. |
- | //Spectogram | + | For the moment sound and video are displayed on 2 seperate channels in VLC. We'll try to make a monitor setup inside where the stream is continuously displayed, together with the audio. |
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+ | //Streaming the bees on 10th of december 2014, a sunny afternoon. The hive is packed in an extra pink layer, for winter.// | ||
+ | }=====BIO-ACOUSTIC SOUND ANALYSIS===== | ||
+ | {{gallery>: | ||
+ | //Spectrogram | ||
Analysis of a 4 channel.wav soundfile (of 4 piezo microphones placed into the broodbox of the sound beehive), **25 june 2014 at 12:00**. | Analysis of a 4 channel.wav soundfile (of 4 piezo microphones placed into the broodbox of the sound beehive), **25 june 2014 at 12:00**. | ||
On the spectogram and timeslice images we see a clear difference. The images of channel 6 and 7 are much more rounded (no peaks), which means that the bees started building around these microphones (which are mounted into the frames of the same number). Over time, the image of the files will flatten out, as the bees build more and more wax around the microphones. Also the sound should become less sharp.// | On the spectogram and timeslice images we see a clear difference. The images of channel 6 and 7 are much more rounded (no peaks), which means that the bees started building around these microphones (which are mounted into the frames of the same number). Over time, the image of the files will flatten out, as the bees build more and more wax around the microphones. Also the sound should become less sharp.// | ||
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The student will need to apply signal processing techniques (these can be from a library) to mine for patterns selection of the recordings. Any techniques may be used here, but statistical machine learning techniques are probably most promising. When candidate patterns are found, these need to be tested with different selections of the recording in order to prevent spurious patterns from being found. | The student will need to apply signal processing techniques (these can be from a library) to mine for patterns selection of the recordings. Any techniques may be used here, but statistical machine learning techniques are probably most promising. When candidate patterns are found, these need to be tested with different selections of the recording in order to prevent spurious patterns from being found. | ||
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[[bio-acoustic sound analysis]] | [[bio-acoustic sound analysis]] | ||
=====FEATURES & SOUNDS RELATED TO THE BEHAVIOUR OF THE COLONY===== | =====FEATURES & SOUNDS RELATED TO THE BEHAVIOUR OF THE COLONY===== | ||
- | __distinguish | + | __notice |
waxmoth: observation & warning | waxmoth: observation & warning | ||
swarming: sounds, action, more drones | swarming: sounds, action, more drones | ||
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{{: | {{: | ||
// | // | ||
- | {{: | + | {{: |
- | //plexi show-case for presentation of research material// | + | //sensordata, display in box - temperature, |
sound_beehive.1410984932.txt.gz · Last modified: 2016/01/13 17:46 (external edit)