A floor-plane experience combines three separate responsibilities. Image processing identifies useful visual features, a geometric step estimates the surface, and a 3D renderer places digital objects in the scene. Keeping these responsibilities separate makes the system easier to debug.
The camera must be calibrated well enough for the application’s accuracy requirements. Frames may need resizing, grayscale conversion, noise reduction, and feature detection. A browser workflow can perform computer vision with OpenCV.js, while Python may provide preprocessing, data services, or heavier analysis. Three.js then renders the plane, camera, lighting, and virtual objects.
Real environments are difficult. Reflections, blank floors, changing light, motion blur, and occlusion can make detection unstable. The interface should communicate uncertainty rather than silently placing an object incorrectly. Test on several devices and surfaces, avoid storing camera frames unless necessary, and explain how the data is handled. A convincing demo is only the first step toward a dependable augmented-reality feature.