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@alielobo: Explicando quem é Elizabeth Holmes, a personagem principal do documentário Tudo Pode Ser Visto, com Nathan Fielder, que está sendo considerado o filme do ano! #youcanseeeverything #oscars #tudopodeservisto #nathanfielder #nathanfielder

Alie Lobo 🍿
Alie Lobo 🍿
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Region: BR
Thursday 05 November 2026 23:24:11 GMT
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Comments

bludyputh
wem :
sera que tem como ela ser indicada na categoria de atriz?
2026-11-06 15:39:48
17
amanda_araujo94
Amanda Araujo | Cultura Pop 🎬 :
eu estou muito ansiosa pra ver esse filme!
2026-11-06 17:49:37
2
caebmota
Caetano :
Ótimo vídeo
2026-11-06 23:27:32
0
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Cameras inside robot eyes: plan the view before the mount. This Kira Labs lesson explains horizontal versus vertical field of view, how an eye shell or eyelid can block a camera's view, and the tradeoffs between fixed and moving camera concepts. It ends with a simple unpowered paper/cardboard sight-line planning check. All proposed mechanisms are CONCEPTS: not built or physically validated. The diagrams are original, AI-assisted explanatory illustrations, not private project drawings or footage of a working robot. The 60-degree, one-meter example is idealized geometry, not a measured Kira camera result. This is an educational planning lesson, not a validated wiring or build recipe. AI disclosure: My authorized synthetic narration was generated locally with AI. AI-assisted original diagrams and captions. Sources and method: Edmund Optics, Understanding Focal Length and Field of View: https://www.edmundoptics.com/knowledge-center/application-notes/imaging/understanding-focal-length-and-field-of-view/ Edmund Optics, Sensor Relative Illumination, Roll-Off and Vignetting: https://www.edmundoptics.com/knowledge-center/application-notes/imaging/sensor-relative-illumination-roll-off-and-vignetting/ OpenCV, Camera Calibration and 3D Reconstruction: https://docs.opencv.org/4.13.0/d9/d0c/group__calib3d.html Basler, Optimizing Image Quality: https://docs.baslerweb.com/optimizing-image-quality #KiraLabs #Robotics #HumanoidRobot #RobotVision #CameraDesign #FieldOfView #EngineeringEducation
Cameras inside robot eyes: plan the view before the mount. This Kira Labs lesson explains horizontal versus vertical field of view, how an eye shell or eyelid can block a camera's view, and the tradeoffs between fixed and moving camera concepts. It ends with a simple unpowered paper/cardboard sight-line planning check. All proposed mechanisms are CONCEPTS: not built or physically validated. The diagrams are original, AI-assisted explanatory illustrations, not private project drawings or footage of a working robot. The 60-degree, one-meter example is idealized geometry, not a measured Kira camera result. This is an educational planning lesson, not a validated wiring or build recipe. AI disclosure: My authorized synthetic narration was generated locally with AI. AI-assisted original diagrams and captions. Sources and method: Edmund Optics, Understanding Focal Length and Field of View: https://www.edmundoptics.com/knowledge-center/application-notes/imaging/understanding-focal-length-and-field-of-view/ Edmund Optics, Sensor Relative Illumination, Roll-Off and Vignetting: https://www.edmundoptics.com/knowledge-center/application-notes/imaging/sensor-relative-illumination-roll-off-and-vignetting/ OpenCV, Camera Calibration and 3D Reconstruction: https://docs.opencv.org/4.13.0/d9/d0c/group__calib3d.html Basler, Optimizing Image Quality: https://docs.baslerweb.com/optimizing-image-quality #KiraLabs #Robotics #HumanoidRobot #RobotVision #CameraDesign #FieldOfView #EngineeringEducation

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