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How We Monitor Bee Activity at the SAS Bee Hives using IoT and Computer Vision

Started ‎06-25-2020 by
Modified ‎06-26-2020 by
Views 1,786

Did you know SAS has bee hives? In this demo, I share how we've automated a process to capture SAS bee activity so we can understand vegetation bloom times, honey production, and overall hive health. You'll learn how we use image processing tools, robust principal component analysis, and object tracking methods implemented in SAS® Visual Data Mining and Machine Learning and SAS® Event Stream Processing.





Video highlights

00:18 - Why bees matter

02:01 - How SAS Event Stream Processing monitors bee flight patterns

05:17 - Train an RPCA model

08:43 - Fit images to RPCA model as a table

09:27 - Fit the table to RPCA model

10:37 - Download ASTORE file so SAS Event Stream Processing can use it

10:58 - See results of scoring images


Related resources

About SAS® Event Stream Processing (website)

About SAS® Visual Data Mining and Machine Learning (website)

5 ways to measure beehive health with hive-streaming data (SAS Insights article)

Noninvasive Beehive Monitoring through Acoustic Data Using SAS Event Stream Processing and SAS® Viya... (SAS Global Forum paper)



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Last update:
‎06-26-2020 02:33 PM
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