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UNIT 5.2
COMPUTER VISION
(PRACTICAL)
Learning Outcomes
• No-Code AI Tools • Introduction to Lobe
• Introduction to Teachable Machine • Orange Data Mining Tool
• Image Feature • Convolution
• What is Neural Network? • What is Convolutional Neural Network (CNN)?
• Layers of Convolutional Neural Network (CNN)
In the field of Computer Vision, Artificial Intelligence (AI) plays a crucial role. It enable computers to interpret and
understand visual data from the surrounding environment. With the advent of no-code AI tools, creating AI models
for tasks like image recognition has become accessible to a wider audience, even those without coding expertise.
These tools empower users to build and deploy AI applications that can seamlessly analyse images and videos.
A key technique in Computer Vision is convolution, which forms an integral part of Convolutional Neural Networks
(CNNs). Convolution allows computers to process images by applying filters that detect essential features such
as edges, textures, and patterns. This capability enables AI models to identify objects, faces, and other visual
elements, making Computer Vision particularly valuable in applications such as self-driving cars, facial recognition,
and medical image analysis.
No-Code AI Tools
Imagine a world where creating an AI model is as straightforward as assembling pieces of a puzzle. Thanks to
no-code AI tools, this vision has become a reality. A No-Code AI tool is a software platform that allows users to
build, deploy, and manage Artificial Intelligence (AI) models without writing any code. These tools provide a visual,
drag-and-drop interface and pre-built AI components, making AI development accessible to non-programmers,
business users, and domain experts.
Deploying and Optimising AI Models with No-Code Tools
Steps for deploying and optimising AI models with no-code tools are as follows:
1. Select the right platform: Choose a no-code AI platform that aligns with your business needs and objectives.
Different platforms offer unique features, so selecting the right one is crucial for success.
2. Prepare your data: Clean, organise, and preprocess your data. Most no-code platforms provide tools to help
you with this step, ensuring your data is ready for training.
330 Touchpad Artificial Intelligence (Ver. 3.0)-X

