ITPEC FE Morning April 2019 Question 74

Deep Learning in Devices — Identifying real-world applications of deep learning

The correct answer is c): a driver assistance system that processes numerous images to distinguish between pedestrians and vehicles. This is a classic computer vision task where deep learning (neural networks trained on large image datasets) significantly improves recognition accuracy.

Why not the others:

• •a) An accelerometer triggering an airbag is a simple sensor-based mechanism — no machine learning involved.
• •b) Automatic idling stop is a mechanical/electronic fuel-saving feature — no learning or data processing required.
• •d) Updating navigation maps via a mobile connection is a straightforward software update — no AI or learning involved.

Key rule: Deep learning excels at tasks involving pattern recognition in unstructured data (images, audio, text). When a question asks about deep learning use cases, look for options involving image processing, speech recognition, or learning from large datasets.

AI-generated — may contain errors