Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsMedium
A manufacturing plant is deploying an AI system to monitor the quality of products on an assembly line. The system uses cameras to inspect each item for defects, such as scratches or misalignments, at high speed. The primary goal is to automatically identify and flag faulty products before they move to the next stage of production. Which AI workload is being applied here?
- AGenerative AI
- BNatural Language Processing (NLP)
- CAnomaly Detection
- DComputer Vision
Show answer & explanationAnswer & explanation
Correct answer: D. Computer Vision
The scenario describes using cameras to inspect products for visual defects, which is a classic application of Computer Vision. This AI workload enables machines to 'see' and interpret visual information.
Why the other options are wrong
- A. Generative AI creates new content, not inspects existing physical items for quality.
- B. Natural Language Processing deals with human language, not visual inspection of products.
- C. Anomaly Detection could be part of the system (detecting defects as anomalies), but the core mechanism of 'using cameras to inspect' falls under Computer Vision.
Computer Vision
Computer Vision is an AI workload that enables computers to 'see,' interpret, and understand the visual world by processing images and videos.
- Involves tasks like object detection, image classification, facial recognition, and optical character recognition (OCR).
- Used in applications like quality control, autonomous vehicles, and medical imaging analysis.
- Relies on deep learning models trained on vast datasets of visual information.
Memory trick: Computers have Vision to see defects.