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.
Counting livestock coming into or out of facilities
Animals: Cows, Pigs, Chickens, Sheep
| Industry | |
|---|---|
| Camera Type | |
| Recommended Hardware | NVIDIA Jetson Orin Developer Kit |
This Filter identifies individual livestock moving through a designated area so a business in the Agriculture industry can accurately track the movement of herds.
Estimate how full a transparent or translucent container, like a bottle, is in percent of a known volume.
Eliminate personally identifiable information from the video stream in order to comply with privacy laws like General Data Protection Regulation (GDPR).
Compare joint posture against known correct yoga posing.
Imagine you're the Operations Manager at a factory, and your job is to keep everything running smoothly. You only have one pair of eyes and fifty cameras; manual monitoring is not an option. You must ensure stations operate correctly, the product makes it where it...
Tech experts and AI enthusiasts gathered last week at the `What’s Your AI Story?` event in Bellevue, WA, to explore the world of artificial intelligence. The event, put on by Plainsight, Averro, and SoftIron, focused on how AI is changing industries and the big...
Larry Roberts was an American engineer who received the Draper Prize in 2001 "for developing the Internet".Computer Vision is the computer science field of detecting, categorizing, and quantifying information from visual data. If AI is the broad field of replicating...
Detect products that belong in a package by counting them as they pass through the opening of the package.
Detect objects that should not be on or in the production line to ensure quality of products.
Provide a “Grade” of how efficiently raw ingredient prep went.
