ToF Cameras vs. Stereo Cameras — a comparison every robotics, autonomy, and computer-vision team asks sooner or later.In this episode of Vision Vitals by e-con Systems, we break down the real differences between these two popular depth-sensing technologies — beyond the usual textbook definitions.Whether you're building AMRs, AGVs, cobots, warehouse automation systems, industrial inspection tools, or navigation pipelines, choosing the right 3D sensing technology can make or break your deployment.🎧 In this episode, you’ll learn:How They WorkHow Stereo derives depth through disparity & textureHow ToF measures distance using NIR reflectionWhere Each Technology ShinesLow-light & featureless environmentsTexture-rich outdoor scenesSmooth vs dark vs reflective surfacesIndoor vs outdoor performanceAccuracy & RangeMillimeter vs centimeter accuracyHow range scales in ToF vs Stereo systemsWhy ToF excels in short-to-mid range roboticsCompute & IntegrationProcessing load differencesStereo’s dependency on GPU resourcesWhy ToF offers predictable compute pathsCost, Reliability & Real-World DeploymentHardware vs software cost trade-offsChallenges in shadows, bright sunlight, and mixed environmentsPractical selection guidance for robotics teams🔗 Explore e-con Systems Depth Cameras

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