Computer vision has the power to transform how businesses monitor, measure, and act on visual data. But before you dive into model training or deployment, it’s essential to understand the conditions that enable successful outcomes. At Plainsight, we follow six...
Plainsight Vision Data Filters
Plainsight Vision Data Filters allow your businesses (in any industry) to extract business-critical data from any camera feed without the need for AI or Data Science expertise.
Condiment Detection
Detect condiments for multiple use cases in your restaurant. Due to customer privacy, the image provided is for demonstration purposes only.
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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.
Transform your visual data into business-critical data.
Wherever you need to monitor your manufacturing process, Plainsight Vision Data Filters can transform your camera feed into data to help you run your business by automating and alerting.
Focus On Your Vision.
Plainsight Vision Data Filters empower manufacturers to track defects, anomalies, and process deviations by automating visual inspections and enabling rapid response to quality issues.
Learn more about this Filter
VizOps: DevOps for Vision AI
Vision AI is transforming how industries, from livestock management to manufacturing, solve complex problems. Yet, deploying vision AI models effectively and efficiently remains a major challenge. However, according to Insight Editor, nearly 90% of AI vision projects...
OpenFilter: Democratizing Access to Computer Vision
Building computer vision apps shouldn’t require a PhD. That’s why we built OpenFilter, an open-source framework for vision that is composable and transparent from day one. Plainsight incubated OpenFilter and launched it on May 21, 2025, at the Embedded Vision Summit....