In the Week 4 concrete pouring monitoring example, a computer vision model detects objects such as the crane hook, concrete bucket, mixer truck, and workers. The detected objects and their spatial relationships are then organised into a knowledge graph. The system uses domain knowledge and rules to reason about whether the activity is loading, moving, or pouring. Which of the following statements correctly describe the role of the knowledge graph in this system? Select all that apply.

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Answer

The knowledge graph represents detected objects and their relationships explicitly, such as “bucket is near mixer truck” or “bucket is above pouring location”.

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Computer vision is useful for recognising objects, while the knowledge graph helps reason about construction activity status.

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The knowledge graph replaces computer vision because it directly learns visual patterns from raw pixels.

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If the system detects a concrete bucket in the image, the knowledge graph should always classify the activity as “pouring”.

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The knowledge graph is closer to symbolic AI because it uses explicit entities, relationships, and reasoning rules.

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In the Week 4 concrete pouring monitoring example, a computer vision model detec...

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