Object Recognition System for Visually Impaired : Project Outline
Online, there are numerous tools and program’s that can help the visually impaired individual go about their daily lives. A mobility assistance robot, SCADA systems, haptic augmented reality, a stick, optical sensors including RGB cameras, and GPS are among the gadgets. KNFB Reader, LookTel, and Color Id are a few examples of software programs that can be used to read text aloud or identify colors [4].
One issue with these applications is that they are made for certain purposes exclusively and not for general object detection in your environment. To process the objects, some applications required a live connection to the server or cloud. To process the objects, some applications required a live connection to the server or cloud. However, none of these programs. But none of these applications is using Machine Learning to recognize objects.
Object recognition for the visually impaired using AI and machine learning is a form of assistive technology that allows people with visual impairments to identify objects in their environment. This technology uses various sensors, such as cameras and lasers, to detect objects and then provides information about them to the user.
Examples of this technology include the smart glasses developed by Microsoft, which use a combination of facial recognition, object recognition, and voice commands to identify people and objects around the user. Other examples include apps that use a combination of image and voice recognition to identify objects, and voice-activated devices that can detect objects and provide information about them.
TensorFlow is one of the python libraries that can be used for detecting the object. a trained machine learning model called YOLO (You only look once) is deployed to detect the objects in that image.
Applications of Object recognition for the visually impaired Project
- Enhancing the independence of visually impaired individuals: Object recognition technology can help visually impaired individuals to navigate their environment more independently. The technology can be used to recognize objects such as furniture, doors, and appliances, enabling the visually impaired person to interact with their surroundings more effectively.
- Improving accessibility of digital content: Object recognition can be used to make digital content more accessible to the visually impaired. For example, an object recognition system can be used to describe the content of images and videos to the visually impaired, enabling them to consume digital content more effectively.
- Assistive technology for education: Object recognition technology can be used to develop assistive technology for visually impaired students in schools. For example, an object recognition system can be used to identify objects on a blackboard or in textbooks, enabling visually impaired students to participate more fully in classroom activities.
- Enhancing safety for visually impaired individuals: Object recognition technology can be used to enhance safety for visually impaired individuals. For example, an object recognition system can be used to detect obstacles and hazards in the environment, alerting the visually impaired individual to potential dangers.
Requirements
Hardware requirement
A laptop with:
- A CPU with clock speed of atleast 2.5GHz.
- GPU(atleast 4GB VRAM).
- RAM (more than 8GB ).
- SSD (more than 256GB)
Software requirement
- Python – Python is a high-level programming language that is widely used for machine learning and deep learning applications. It provides a wide range of libraries and tools for developing machine learning models.
- TensorFlow – It is an open-source software library for dataflow and differentiable programming across a range of tasks, including machine learning, deep learning, and artificial intelligence. TensorFlow can be used for image classification, object recognition, and detection.
- Keras – It is an open-source neural network library written in Python, which is designed to enable fast experimentation with deep neural networks. Keras provides a high-level interface to neural networks and can be used for object recognition, image classification, and more.
- OpenCV – It is an open-source computer vision library that provides a wide range of algorithms and tools for image and video processing. OpenCV can be used for object recognition, image segmentation, and other computer vision tasks.
- PyTorch – It is an open-source machine learning library based on the Torch library, which is used for applications such as computer vision and natural language processing. PyTorch provides an easy-to-use interface for neural networks and deep learning.
- scikit-learn – It is a machine learning library for the Python programming language, which provides tools for data mining and data analysis. Scikit-learn provides a range of algorithms for classification, clustering, and regression, which can be used for object recognition.
- YOLO (You Only Look Once) – It is an object detection algorithm that can recognize objects in real-time. It is built on top of Darknet, an open-source neural network framework, and can be used for object recognition tasks.
Tool:
IDLE is an integrated development environment for Python, which has been bundled with the default implementation of the language since 1.5.2b1. It is packaged as an optional part of the Python packaging with many Linux distributions. It is completely written in Python and the Tkinter GUI toolkit.
Technology:
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
What you will learn?
- Learn about the principles of object recognition and how to apply them to assistive technology.
- Gain an understanding of the hardware and software requirements necessary to build this type of system.
- Gain experience with algorithm design and implementation, as well as with the development of user interfaces.
- An understanding of how to integrate this technology with other forms of assistive technology to create a comprehensive solution for people with visual impairments.
