Unit 3: Making Machines See (Computer Vision)

Correct answer: A. Identifying a non-matching person as a match

A false positive occurs when the system reports a match for a person who does not match the claimed or enrolled identity. Therefore, option A is correct. Option B is a true positive, whereas option C is a false negative because a genuine match is rejected.

Correct answer: A. Computer vision

Computer vision identifies objects and visual patterns in images. Therefore, it is most suitable for detecting piles of garbage in camera images. Natural language processing is mainly used for text and language tasks, whereas speech recognition processes spoken audio into text or commands.

Correct answer: A. Detecting early signs of disease or water stress

By analysing data from crop images, drones, and sensors, AI can detect early signs of disease, pest infestation, or water stress. This helps farmers make timely decisions about irrigation, treatment, or other crop management actions. Therefore, option A is correct. In contrast, AI monitoring does not guarantee that crop diseases will be completely prevented; it primarily supports early detection.

Correct answer: A. Computer vision

Computer vision enables an AI system to extract information from visual data such as photographs and classify objects or materials within them. Since the system examines waste-pile images and assigns categories such as plastic or paper, option A is correct. NLP handles language, speech recognition handles spoken audio, and recommendation systems suggest items based on preferences rather than analysing pictures.

Correct answer: A. Analysing leaf images to identify crop diseases

Analysing leaf photographs to detect disease is an AI application because a trained vision model can learn visual patterns such as spots, unusual colour, or damaged texture and classify the crop’s condition. Therefore option A is correct. The other choices describe manual record keeping, a non-data-based action, or printing; none requires an AI model to interpret or predict from data.

Correct answer: A. To understand the surroundings, objects, and distances

An autonomous vehicle uses cameras, radar, and other sensors to obtain information about nearby objects, their distances, and motion. It uses this data to choose a path, avoid obstacles, and make safe decisions. Option B is incorrect because information about the surroundings is necessary for safe vehicle operation.