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44 articles for “blind detection”
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A Reproducible Low-cost Adaptive Cruise Control Platform with Lidar–Ultrasonic Sensor Fusion and Timer-conflict-free Servo-Scanned Blind-spot Detection on Arduino UNO
Abstract: Road traffic deaths caused by driver distraction and inadequate surroundings remain a big problem for preventable deaths. This paper talks about designing and testing an affordable, easy-to-copy Adaptive Cruise Control (ACC) system. It uses LiDAR-ultrasonic sensors to figure out how far things are in front of the car, and a servo-actuated, dynamically scanned blind spot detector. All of this runs on a single Arduino Uno. To measure front distance, they …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 58–70 Read article
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Predicting Eye Blindness by Detecting Exudates in the Retina of Human Eye
Abstract: Diabetic retinopathy is a condition where a person suffering from diabetes starts to loosen his vision slowly as the severity of the disease increases gradually. We can diagnose this condition by the fundus image of the retina of the human eye; although it is very complicated for doctors to predict the conditions just by seeing the fundus images. By detecting diabetic retinopathy at the earliest, we can protect patients from …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 17–23 Read article
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Object and Person Recognition System for Blind
Abstract: Natural and man-made disasters present a wide range of challenges, which are amplified for people with disabilities. In most cases, assistive technology devices and services assist the disabled in performing daily tasks; yet, these are commonly restricted during and after disasters. One potential approach for people with vision impairment is a cost-effective wearable ‘Object detection’. The object detection provides environmental narratives while also establishing communication between the visually impaired user …
Published in Recent Trends in Programming languages · Vol. 9, Issue 1, 2022 · pp. 31–35 Read article
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Various Techniques of Optical Watermarking
Abstract: This paper includes the detail study of Digital watermarking explanation, concept and the main contributions in this field such as categories of watermarking process that tell which watermarking method be used. It starts with introduction, technology, applications, characteristics, attacks and techniques. In this survey, our most important apprehension is image only. Cite this Article:Hemlata Arya. Various Techniques of Optical Watermarking. Journal of Open Source Developments. 2015; 2(1): 13–19p.
Published in Journal of Open Source Developments · Vol. 2, Issue 1, 2015 · pp. 13–19 Read article
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An Experimental Analysis on Enhancement of Electric Vehicle Safety using ADAS Technology and Forward Collision Avoidance with an Automatic Braking System
Abstract: The rapid expansion of the automobile sector in developing nations has intensified road safety concerns, particularly in congested urban environments where human error accounts for approximately 90% of all accidents. This paper presents and experimentally validates an integrated Advanced Driver Assistance System (ADAS) for electric vehicles comprising three complementary safety modules: a Forward Collision Avoidance System (FCAS) employing an HC-SR04 ultrasonic sensor interfaced with an Arduino Uno R3 to detect …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 20–30 Read article
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Smart Drive Assist Systems for Modern Vehicles: A Review of Current Advances and Future Directions
Abstract: Smart drive assist systems serve as advanced automotive companions, boasting three pivotal capabilities: blind spot monitoring, collision prevention, and adaptive lighting. Blind spot monitoring acts as a vigilant sentinel, overseeing areas beyond the driver's direct view and issuing alerts for potential blind spot intrusions during lane changes. Collision prevention acts as a protective shield, scanning the road ahead to notify the driver of impending collisions, affording crucial reaction time to …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 2, 2024 · pp. 19–27 Read article
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A Novel Blind Restoration Technique Using Different Edge Detection Methods
Abstract: Image restoration is a field of image processing in which we recover an original image from a degraded image. Objective of this paper is to compare different blurred and noisy images which are reconstructed with the help of blind deconvolution algorithm using different edge detection methods such as Canny, Sobel, Prewitt, Roberts, Laplacian. Initially original image is blurred using Gaussian filter. After that in the edges of blurred image ringing …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 2, 2014 · pp. 1–5 Read article
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Machine Learning Based Early Cataract Detection: A Predictive Modeling Approach
Abstract: Cataracts, characterized by dense cloudy areas in the eye’s lens, afflict more than 50% of elderly individuals, leading to impaired vision and potential blindness. Detecting cataracts at an early stage is crucial to facilitate simpler treatments, as neglecting the condition may necessitate complex eye surgery. To address this issue, we are creating a predictive system that identifies cataract disease by analyzing user-provided eye features. To achieve this, we leverage OpenCV, …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Detection of Image Tempering: An Exhaustive Survey
Abstract: In modern technology, the manipulation of the digital image is very easy and common. An image can be tampered simply by photo editing software like Photoshop in a very advanced way. The motive of this research is to detect and confront the validness of the image, and if the image has been produced or altered at that point recognizing the altered locale of the image. Here we are utilizing different …
Published in Journal of Open Source Developments · Vol. 5, Issue 3, 2018 · pp. 1–10 Read article
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Signature Forgery Detection using Python
Abstract: Visual representation of information has become increasingly significant in the digital computing environment. Advancements in computer and network technologies have led to a rise in the accessibility and transmission of digital images through imaging technologies like digital cameras and scanners. Any manipulation of digital images that involves copying one part of the image into another part is considered a picture forgery. It is crucial to research methods to verify the …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 1, 2023 · pp. 17–29 Read article
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Real-Time Road Traffic Signal Monitoring and Controlling using Blind Scheduling Algorithm
Abstract: We normally see at signals even if there is no vehicle at the other end still the GREEN signal comes. If that time can be utilized for other end where there is more congestion ormore vehicles then the traffic will be easily controlled. The current system is statically controlled signal. Every end is predetermined with a specific time period where it signalsGreen. We are proposing a System that will be …
Published in Journal of Open Source Developments · Vol. 1, Issue 1, 2014 · pp. 5–10 Read article
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Smart Blind Stick
Abstract: In accordance to World Health Organization statics, 253 million people are currently living with vision impairment, 36 million of which are blind, and 217 million who have moderate severe vision impairment. Mostly people aged 50 and above are blind as WHO estimated that 81% of the blind population are adult peoples. Due to a variety of factors, number of visually impaired persons is anticipated to rise in the future. As …
Published in Journal of Semiconductor Devices and Circuits · Vol. 8, Issue 3, 2021 · pp. 23–46 Read article
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Real-time Collision Detection for Visually Impaired Peoples
Abstract: AbstractThe blind people are at a significant drawback because they often lack the information for avoiding obstacles and threats in their path. They have very little information on self-velocity, objects, route, etc., which is essential for travel. Previously developed navigation systems use costly equipment which is often not affordable by the common blind peoples. Also, the navigation systems available are heavy weighted and very complex to use. Our research is …
Published in Journal of Microcontroller Engineering and Applications · Vol. 5, Issue 1, 2018 · pp. 1–4 Read article
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Oculight: AI Based System for Visual Assistance to Blind and Visually Impaired People
Abstract: This research introduces a new captioning model that utilizes both image and caption models to produce textual descriptions of images. By combining a convolutional neural network (CNN) and a long short-term memory (LSTM) recurrent neural network (RNN), this deep learning architecture offers a promising solution for improving the quality of life and independence of blind people through AIbased systems. The system's implementation on an Android device ensures that it is …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 22–29 Read article
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AutoGen Bike: A Self-Sustaining Smart Electric Bike with Integrated AI Safety Systems
Abstract: This is the paper which gives the information about the self-sustaining electric bike. This also tells the idea about how energy is produced during its usage. The “Auto gen bike” is the most useful aspect that can change the future of the electric bikes. This also helps in the conservation of natural resources and nature. This also helps in the accidents happening to the two-wheel vehicle. This is achieved by …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 41–49 Read article
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A Comprehensive Review of CNN-Based Framework for Multi-Sign Detection of Diabetic Retinopathy in Fundus Images Using Public Datasets
Abstract: Diabetic retinopathy (DR) is one of the main causes of vision impairment. Blindness prevention and effective treatment depend on early detection. A thorough deep learning-based framework for the automatic segmentation and simultaneous detection of exudates, hemorrhages, and microaneurysms – three important DR indicators – from retinal fundus images is presented in this work. These three pathological signs’ corresponding annotated image patches, along with background (no-sign) areas, were used to train …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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An Insight for Visually Impaired using AI Techniques
Abstract: We know that the life of blind people is very risky. They always need an assistance or another person for helping them.In this project we introduce AI spectacles for blinds, which will help them to find what is happening in front of them and they will be able to find their own things without any help. In this proposed system,weareusing a real time object detection using YOLOv3 model.‘You only look …
Published in Journal of Artificial Intelligence Research & Advances Read article
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An Insight for Visually Impaired using AI Techniques
Abstract: We know that the life of blind people is very risky. They always need an assistance or another person for helping them. In this project we introduce AI spectacles for blinds, which will help them to find what is happening in front of them and they will be able to find their own things without any help. In this proposed system, we are using a real time object detection using …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 2, 2021 · pp. 1–8 Read article
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Different Image Processing Techniques to Detect Text from Natural Images: A Survey
Abstract: Texture analysis can provide very useful and vital information for content-based image analysis. Text recognition and analysis includes many applications such as: license plate recognition, sign detection as well translation, helping tourists and blind persons to understanding environment, drawing attention of a driver, content-based image search and so on. Locating text in case of variation in style, colour, as well as complex image background makes text reading from images more …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 3, 2014 · pp. 1–5 Read article
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Retinal Disease Detection Using Deep CNN
Abstract: Age-related macular degeneration, glaucoma, and diabetic retinopathy are the three main causes of blindness in the globe. To avoid visual loss, early identification and treatment of these disorders are essential. The goal of this research is to create an automated method for detecting retinal diseases by analyzing retinal fundus pictures with machine learning techniques. Python and the Tkinter package for the graphical user interface are used in the construction of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 46–50 Read article