OBJECT- DETECTION SYSTEM FOR THE VISUALLY IMPAIRED

This article explores the development of different devices to help blind people in navigating their environment. The rise of robotics technology with Artificial Intelligence (AI) has a huge impact on developing devices with smart robots for blind people to walk safely. Based on this Technology, the purpose of this article is to produce a device that employs Artificial Intelligence (AI) to help individuals access their surroundings with ease. Developing robust and effective robotic mobility is expensive as well as difficult. The paper discusses the various sensors that could be used in each device, including ultrasonic, infrared, tactile, and camera sensors. The study proposes two potential solutions. The first is to use an Arduino microcontroller with an HC-SRo4 ultrasonic sensor, which can be worn or used as a portable device for the user. The sensor operates by sending high-frequency sound waves and receiving them back to measure the distance to objects in the environment. By analyzing these measurements, the device can identify objects in the user’s path and audibly relay that information to them. The second solution involves using a Raspberry Pi microcontroller with a camera and OpenCV software to detect objects within the user’s view. The camera captures images of the environment, and OpenCV analyzes those images to identify and classify objects. This solution provides a more detailed description of the user’s surroundings but is also more expensive and requires more computational power than the Arduino solution. Overall, the study demonstrates the feasibility and effectiveness of utilizing affordable sensors, such as the HC-SRO4 ultrasonic sensor, in developing assistive technologies for visually impaired individuals. By providing accurate object detection and description, these devices have improved the quality of life for individuals with visual impairments