PawSpective App Lets Dog Owners Simulate Canine Vision Using AI and WebGL

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A developer has built PawSpective, a web application that approximates how dogs perceive color by applying a WebGL-based transformation that reduces red-green differentiation while preserving blue-yellow contrast. Users can upload short videos, which are analyzed by Google Gemini to identify objects, bounding boxes, and scene events with structured, schema-validated responses. The app then calculates a relative dog-visible contrast score for selected objects by comparing foreground and background pixels in a canine color space using CIE Lab measurements. Additional features include a Curiosity Map that combines AI-inferred motion, object size, and contrast to highlight visually salient elements, as well as a Toy Color Lab and a fictional narrated Story Reel generator. The developer notes that PawSpective is an approximation tool for entertainment and exploration, and does not claim to accurately replicate any individual dog's vision or cognition.

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Developer Builds PawMatch App to Help Users Find Dog Breeds by Personality

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