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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.
2. Differentiate between Computer Vision and Image Processing.
Ans. The difference between Computer Vision and image processing.
Computer Vision Image Processing
Computer Vision enables machines to understand and Image processing involves manipulating and enhancing
interpret visual information, such as identifying objects, images to improve their quality or extract specific
recognising patterns, or making decisions based on visual features. It focuses on the technical manipulation of raw
inputs. It focuses on extracting high-level information to image data.
mimic human vision.
Computer Vision is a superset of image processing. Image processing is a subset of Computer Vision. It means
It means that Computer Vision encompasses image that image processing is one component within the
processing as one of its components or foundational broader domain of Computer Vision. Image processing
steps, but extends beyond it to achieve higher-level tasks provides foundational tools and techniques often used in
like recognition and decision-making. Computer Vision tasks.
It operates at a higher level of abstraction, focusing It operates at a lower level, primarily working with
on deriving meaning from visual inputs and enabling pixel-level data to transform or analyse images without
machines to perform tasks like decision-making. necessarily understanding their content.
3. Describe the application of facial recognition in Computer Vision.
Ans. Facial recognition helps make homes safer and smarter in several ways:
• Security: Smart home systems can recognise family members or regular visitors, allowing them to enter without keys
or codes. This ensures that only trusted people can access your home.
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