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3.  A self-driving car is navigating through a busy urban street, with pedestrians crossing and other vehicles moving in
                    various directions. How does Computer Vision help the car detect obstacles and make real-time decisions for a safe
                    journey?
                Ans.  Computer Vision utilises cameras and sensors to detect pedestrians, other vehicles, and traffic signals. It processes the
                    visual data in real-time to make quick decisions, like slowing down or steering to avoid collisions, ensuring safety.
                 Assertion and Reasoning Questions:
                   Direction: Questions 4-5, consist of two statements – Assertion (A) and Reasoning (R). Answer these questions by selecting
                 the appropriate option given below:
                 a.  Both A and R are correct and R is the correct explanation of A.

                 b.  Both A and R are correct but R is NOT the correct explanation of A.
                 c.  A is correct but R is incorrect.
                 d.  A is incorrect but R is correct.
                   4.  Assertion (A): Computer Vision can detect obstacles in a self-driving car's path.
                    Reasoning (R): Computer Vision uses cameras and sensors to identify pedestrians, other vehicles, and road signs.
                Ans.  a.
                   5.  Assertion (A): Retailers use Computer Vision to analyse foot traffic in stores.

                    Reasoning (R): The system tracks customer movements to understand their interactions with different areas of the
                    store and optimise product placement.
                Ans.  b.

                                                     Unsolved Questions


                                               SECTION A (Objective Type Questions)
                    uiz

              A.  Tick ( ) the correct option.
                  1.  Which of the following tasks is typically associated with Computer Vision applications?

                    a.  Data cleaning and preparation                  b.  Image classification and object recognition
                    c.  Web development and frontend design            d.  Database management and querying

                  2.  What is the core task of image classification?                                    [CBSE Handbook]
                    a.  Identifying objects and their locations in images
                    b.  Segmenting objects into individual pixels
                    c.  Assigning an input image one label from a fixed set of categories
                    d.  Detecting instances of real-world objects in images

                  3.  Which of the following type of data does Computer Vision primarily work with?
                    a.  Audio signals                                  b.  Video and image data
                    c.  Text data                                      d.  Location data
                  4.  Which of the following is the real-world example of image processing?

                    a.  Self-driving cars                              b.  Automated surveillance systems
                    c.  Removing red-eye effects in photos             d.  Virtual Reality devices
                  5.  Object detection and handwriting recognition are examples of tasks commonly associated with:   [CBSE Handbook]
                    a.  Computer Vision                                b.  Image processing

                    c.  Both a and b                                   d.  None of these
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