Machine Vision - Exploring Visual Perception and Autonomous Interpretation in Robotics
Fouad Sabry
Publisher: One Billion Knowledgeable
Summary
1: Machine vision: Discover the fundamentals and evolution of machine vision technology. 2: Computer vision: Understand the principles driving visual data processing. 3: Gesture recognition: Explore techniques for interpreting human gestures through cameras. 4: Smart camera: Learn about advanced camera systems with embedded intelligence. 5: 3D scanning: Dive into methods for capturing realworld objects in 3D. 6: Flexible manufacturing system: Uncover automation’s role in adaptable production lines. 7: InspecVision: Study inspection technologies for automated quality control. 8: Active vision: Examine systems that respond to environmental cues in realtime. 9: 3D reconstruction: Understand processes for creating 3D models from images. 10: Structuredlight 3D scanner: Investigate methods using structured light for highprecision scans. 11: Visual servoing: Explore control systems driven by realtime visual feedback. 12: Visual odometry: Delve into position tracking by analyzing visual data. 13: Visionguided robot systems: Learn about robots guided by visual feedback. 14: Timeofflight camera: Understand cameras that capture depth using light travel time. 15: William Ward Armstrong: Discover the contributions of a pioneer in vision technology. 16: Optical sorting: Explore automated sorting using optical recognition. 17: AirCobot: Study the capabilities of autonomous inspection robots in aviation. 18: Objective vision: Examine objective metrics in visual systems. 19: Image analysis: Delve into the interpretation of visual data. 20: Optical flow: Understand the tracking of object movement across frames. 21: Pose (computer vision): Learn how systems determine object orientation.
