We believe that just as humans squint when we doubt what we see, AI applications should squint, too. For this, we developed the Squint Insights Studio, a software platform offering a comprehensive suite of explainable AI and performance analysis tools for AI application developers. Our tools accelerate the development of AI-driven computer vision applications and reduce project costs by up to 40% through a low code/no code environment. The Studio empowers AI engineers and researchers to analyze what their vision models are learning from their data, identify bias, and understand the root cause of prediction errors, facilitating the rapid development of reliable AI vision solutions. Beyond the development phase, Squint Insights Studio can generate robust vision pipelines capable of monitoring the predictions of a vision model at runtime, detecting and correcting errors on the fly. These pipelines enhance robustness, safety, and trust in your deployed AI applications.
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“Squinting Vision Pipelines: Detecting and Correcting Errors in Vision Models at Runtime,” a Presentation from Squint AI
June 30, 2025
Ken Wenger, Chief Technology Officer at Squint AI, presents the “Squinting Vision Pipelines: Detecting and Correcting Errors in Vision Models at Runtime” tutorial at the May 2025 Embedded Vision Summit. As humans, when we look at a scene our first impressions are sometimes wrong; we need to take a second… “Squinting Vision Pipelines: Detecting and […]
