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❓ What is Vision AI?

Vision AI refers to computer systems that can understand images and videos using machine learning techniques.

❓ What are some real-world applications?

Face recognition, object detection, medical imaging, security surveillance, and manufacturing defect detection.

❓ What tools help build vision models?

Tools like OpenCV, TensorFlow, PyTorch, and cloud APIs from Google, AWS, and Azure are commonly used.

❓ Is a lot of data needed?

Yes, visual models require large, labeled datasets to perform accurately, though pre-trained models can help.

❓ What is real-time vision processing?

It means analyzing and responding to images or video streams instantly β€” used in autonomous driving or live monitoring.

❓ Are Vision AI solutions expensive to build?

Costs depend on data, compute, and expertise; cloud APIs help reduce development time and infrastructure costs.

❓ Do Vision AI models work on mobile?

Yes, using frameworks like TensorFlow Lite or CoreML, vision models can run on smartphones and IoT devices.