Page 226 - Ai_C10_Flipbook
P. 226
Ans. Computer Vision means giving the ability to the computer to see the world just like humans. It is a domain of Artificial
Intelligence that enables computers to see, observe and understand digital images or data, process them by acquiring,
screening, analysing, identifying and extracting information using the machine learning and neural network algorithms.
2. What is the role of facial recognition in Computer Vision?
Ans. Facial recognition is a technology that uses Computer Vision to identify and verify people based on their facial features.
It has become an important part of smart cities and smart homes, making life more convenient, secure and efficient.
3. How are face filters used in Computer Vision?
Ans. Face filters in Computer Vision are fun and interactive tools that uses algorithm to detect and track facial features, such
as the eyes, nose, mouth, and overall face shape. This process is called facial landmark detection. These filters then
overlay digital effects or objects on a person's face in real time, such as hats, glasses, or funny faces. They are commonly
used in social media apps like Instagram and Snapchat, video conferencing platforms, and Augmented Reality (AR)
applications.
4. What is classification in Computer Vision?
Ans. Classification is the process of determining the class or category of an input image. The input image is analysed using
a machine learning algorithm, which assigns it to one of the predefined categories. These categories are established
by training the algorithm on a set of labelled sample images. This foundational task in Computer Vision has numerous
practical applications, such as medical diagnostics, object recognition, and autonomous vehicles.
5. What are multiple object tasks in Computer Vision?
Ans. Multiple object tasks involve providing multiple images as input to the Computer Vision system. It can be further
divided into two categories i.e. object detection and instance segmentation.
6. What are the applications of Computer Vision in security systems?
Ans. Computer Vision is used in security systems for surveillance, facial recognition, detecting suspicious activities, and
monitoring public spaces. It helps identify threats and provide real-time alerts to security personnel.
7. What is object detection in Computer Vision?
Ans. Object detection is the process of identifying or detecting the instances of real-world objects like cars, bicycles, buses,
animals, humans, or anything on which the detection model has been trained. This kind of system uses Object detection
algorithms to extract the features of the object and after that Machine Learning Algorithms will recognise the instances
of an object category by matching it with the sample images already fed into the system.
8. What is an image processing?
Ans. Image processing involves manipulating and enhancing images to improve their quality or extract specific features.
It focuses on the technical manipulation of raw image data. For examples: Rescaling Images, Correcting Brightness,
Changing Tones, Enhancing Edges, etc.
B. Long answer type questions.
1. What is Computer Vision and how does it relate to Artificial Intelligence (AI)?
Ans. Computer Vision means giving the ability to the computer to see the world just like humans. It is a domain of
Artificial Intelligence that enables computers to see, observe and understand digital images or data, process them
by acquiring, screening, analysing, identifying and extracting information using the machine learning and neural
network algorithms.
Computer Vision works on the same phenomena as that of human vision. It is ruling the industries like manufacturing,
automobiles, power plants etc.
Computer Vision is a part of Artificial Intelligence (AI) that focuses on helping machines understand and interpret visual
information like images and videos. While AI works to make machines think like humans, Computer Vision gives them
the ability to "see." This allows machines to observe, recognise patterns, and gather useful information from visual data,
bringing them closer to how humans perceive the world with their eyes.
224 Artificial Intelligence Play (Ver 1.0)-X

