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Computer vision is a field of study and technology that focuses on enabling computers to perceive, understand, and interpret visual data from the real world, just like humans do with their eyes and brains. It involves developing algorithms and methods for extracting meaningful information and insights from images or videos. The applications of computer vision are diverse and continue to expand as technology advances.

Here are some common examples:

1. Object recognition and classification: Computer vision can identify and categorize objects within images or videos. This has various applications, from identifying specific objects in a scene to recognizing faces in photographs or videos.

2. Image and video analysis: Computer vision can analyze images or videos to extract important information. This includes tasks like motion analysis, object tracking, image enhancement, and video surveillance.

3. Medical imaging: Computer vision has made significant contributions to medical imaging, aiding in the diagnosis and treatment of diseases. It can assist in tasks like tumor detection, medical image registration, and computer-aided diagnosis.

4. Autonomous vehicles: Computer vision plays a crucial role in enabling self-driving cars and autonomous vehicles. It helps these vehicles understand and interpret their surroundings, detect obstacles, recognize traffic signs, and navigate effectively and safely.

5. Augmented reality (AR) and virtual reality (VR): Computer vision is used extensively in AR and VR technologies to overlay virtual objects onto real-world scenes or create immersive virtual environments.

6. Robotics and industrial automation: Computer vision enables robots to perceive and interact with their environment. This is used in applications such as object manipulation, pick-and-place tasks, quality control in manufacturing, and robotic navigation.

7. Security and surveillance: Computer vision is employed in security systems for tasks like facial recognition, people counting, anomaly detection, and behavior analysis.

These are just a few examples, and computer vision continues to find new applications in areas like agriculture, retail, sports analytics, entertainment, and more.