Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsMedium
A manufacturing company wants to implement an AI solution to monitor their assembly line for defective products. The solution needs to automatically identify anomalies like scratches or misaligned parts on items moving rapidly on a conveyor belt. Which AI workload is best suited for this task?
- ANatural Language Processing
- BReinforcement Learning
- CPredictive Analytics
- DComputer Vision
Show answer & explanationAnswer & explanation
Correct answer: D. Computer Vision
Computer Vision is the ideal AI workload for this scenario as it involves analyzing visual input (images/video from the conveyor belt) to detect specific features, defects, or anomalies on physical objects.
Why the other options are wrong
- A. Natural Language Processing deals with text and speech, not visual inspection of products.
- B. Reinforcement Learning involves an agent learning through trial and error in an environment, which is not the primary fit for defect detection on an assembly line.
- C. Predictive Analytics forecasts future outcomes from data, but doesn't directly 'see' and identify defects on an assembly line.
Computer Vision
A field of AI that enables computers to 'see', interpret, and understand the visual world.
- Processes images and videos.
- Used for object detection, facial recognition, defect inspection.
- Involves tasks like classification, segmentation, and tracking.
Memory trick: If the AI needs EYES, it's Computer Vision.