If you can use an Instagram Filter and a Spreadsheet you can use Plainsight. And still make your data scientists, engineers, IT, and finance team happy.
Vision Intelligence Filters extract visual data into business insights. We use a powerful combination of visual AI and data science to add business context to any camera feed. Whether it’s in Agriculture, Manufacturing, Energy, or Retail, you can’t run a business if you can’t see what’s happening.
Detect condiments for multiple use cases in your restaurant.
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| Recommended Hardware | NVIDIA Jetson Orin Developer Kit |
The Condiment Detection Filter uses an instance segmentation library to detect condiments, such as mustard (even yellow on yellow). The condiment filter can be reused for multiple use cases by varying training data and configuration.
Compare the visible level of stocked inventory to known acceptable and unacceptable levels. Due to customer privacy, the image provided is for demonstration purposes only.
Enable drive-through analytics by recording customers’ dwell times at different stages of the drive-through experience. Detect when a driving customer leaves a drive-through line before ordering. Due to customer privacy, the image provided is for demonstration purposes only.
Detect objects that should not be on or in the production line to ensure quality of products. Due to customer privacy, the image provided is for demonstration purposes only.
Kit Merker (right), CEO of Plainsight Technologies, and Larry Carvalho (left), principal consultant at RobustCloud discuss AI Adoption and Computer Vision.At Plainsight’s Filter Lab in Woodville, Washington, a recent discussion with Larry Carvalho, principal...
Every day we hear what businesses want out of Computer Vision in order to deliver real value: more accurate data, scalability, data privacy, and maintainable systems. These are non-negotiable requirements, so why is it such a challenge to get all of them in one...
New Plainsight FilterBox support for SUSE Linux Enterprise Micro brings e-commerce-like accuracy & efficiency to use cases like inventory and yield management, quality control, and compliance tracking in manufacturing, agriculture, retail, and beyond SEATTLE, June...
Estimate how full a transparent or translucent container, like a bottle, is in percent of a known volume. Due to customer privacy, the image provided is for demonstration purposes only.
Compare the visible level of stocked inventory to known acceptable and unacceptable levels. Due to customer privacy, the image provided is for demonstration purposes only.
Describe the severity and predict the path of a wildfire from aerial surveillance. Due to customer privacy, the image provided is for demonstration purposes only.
