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C.  Competency-based/Application-based questions.                                21 st  Century   #Critical Thinking
                                                                                                   Skills  #Flexibility
                  1.  An autonomous drone is delivering packages in a rural area. The drone uses Computer Vision to navigate safely around
                    trees and power lines. Which of the following technology ensure the drone’s safe flight?
                     a.  The drone uses GPS to avoid collisions with trees and power lines.

                     b.   The drone uses cameras and sensors to detect obstacles, and Computer Vision processes the data to adjust its flight
                       path in real-time.
                     c.  The drone relies on a manual operator to avoid obstacles.
                     d.  The drone uses radar to detect objects and adjust its flight path.

                  2.  You are tasked with developing a Computer Vision system for a self-driving car company. The system needs to accurately
                    detect and classify various objects on the road to ensure safe navigation. Imagine you're working on improving the
                    object detection algorithm for the self-driving car's Computer Vision system. During testing, you notice that the system
                    occasionally misclassifies pedestrians as cyclists, especially in low-light conditions.

                     How would you approach addressing this issue? What steps would you take to enhance the accuracy of pedestrian
                    detection while ensuring the system's overall performance and  reliability on the road?   [CBSE Handbook]
                  3.  “Imagine you're a researcher tasked with improving workplace safety in a manufacturing environment. You decide to
                    employ Computer Vision technology to enhance safety measures.”                      [CBSE Handbook]

                 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): Object detection is a more complex task than image classification because it involves identifying both
                    the presence and location of objects in an image.

                    Reasoning (R): Object detection algorithms need to not only classify the objects present in an image but also accurately
                    localise them by determining their spatial extent.                                  [CBSE Handbook]
                  5.  Assertion (A): Grayscale images consist of shades of gray ranging from black to white, where each pixel is represented
                    by a single byte, and the size of the image is determined by its height multiplied by its width.

                    Reasoning (R): Grayscale images are represented using a three intensities per pixel, typically ranging from 0 to 255.
                                                                                                        [CBSE Handbook]



                               In Life                                                     21 st  Century   #Collaboration
                                                                                               Skills

                 You might have heard of apps that can steal data through your camera or microphone, even if you deny permission.
                 In light of such a scenario, do you think AI is putting our privacy at stake to benefit the organisations it is working for?
                 Discuss your thought with your class.





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