Facial recognition detects and matches human faces in images or videos by analyzing facial features and geometry.

It maps faces and compares them across databases. Often used for identity verification and surveillance.

Pose estimation calculates the position and orientation of an object, usually by detecting key points like joints or body parts.

It allows systems to understand human posture and motion in 2D or 3D space. Applications range from gesture control and sports analysis to animation and human-computer interaction.

Image analysis extracts meaningful information from visual data using techniques like segmentation, filtering, and pattern recognition.

It enables interpretation of content beyond surface-level pixels, supporting tasks like quality control and diagnostics.

Autonomous driving systems interpret surroundings using sensors and AI to control vehicles without human input.

Core tasks include lane detection, obstacle avoidance, and decision-making in dynamic environments. These systems integrate Computer Vision and Sensor Fusion to navigate safely and effectively.