Search
298 articles for “Automatic Detection”
-
Automatic Detection of Diabetic Retinopathy from Fundus Images- A Review
Abstract: Abstract: Diabetes mellitus may cause modifications in the retinal microvasculature prompting diabetic retinopathy (DR). Unchecked, propelled/advanced DR may prompt visual impairment. It very well may be dull and tedious to unravel unpretentious morphological changes in optic disc, microaneurysms, haemorrhages, veins, macula, and exudates through manual review of fundus pictures/images. A computer aided systematic diagnosis can considerably decrease the burden on ophthalmologists and can increase the inter- and intra-observer variability. This …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 3, 2019 · pp. 12–23 Read article
-
Automatic Detection and Classification of Brain Tumor in Magnetic Resonance Images
Abstract: Brain tumor is one of the serious diseases that have caused death to many people in recent years. The complex structure of the brain and its main function associated with the central nervous system and its critical role in controlling most of the functions of the body make detection of tumor a challenging task. Many techniques have been presented in the medical field in order to detect brain tumor from …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 34–40 Read article
-
Automatic Detection of Air Holes Inside The Esophagus in CT Images
Abstract: Automatic esophagus segmentation is a challenging problem. The wall of the esophagus consists of muscle tissue, which has a low contrast to vessels, other muscles and lymph nodes. Shape and appearance can vary a lot. It appears solid if it is empty, but it can also be filled with air, remains of orally given contrast agent, or both. Even for a human, it is often impossible to accurately delineate the …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 1, Issue 1, 2011 Read article
-
Automatic Detection of Misplaced Tubes and Catheters Using EfficientNet B7
Abstract: Tube misplacement can lead to complications in patients together with serious medical malpractice cases. Intubation and the insertion of various medical tubes are employed to safeguard the airways of critically ill patients. Critically unwell patients undergo intubation, with the insertion of various medical tubes to safeguard their airways. The nasogastric tube serves the purpose of providing nutrition, while the central venous catheter finds application in a range of medical procedures. …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 9–17 Read article
-
Automatic Fake News Detection: A Review
Abstract: Misinformation has exploded in the last two decades with the development of digital technologies. The damage caused by it to social harmony, peace, social trust, justice, and democracy has increased the necessity of automatic identification of bogus news and intervention. As more and more content is being available, a person may not deliver much attention to a news piece and may assume it to be reliable just from reading headlines. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 1, 2023 · pp. 29–35 Read article
-
Design and Implementation of Automatic Flame Detection and Tracking
Abstract: Fire accidents pose important risks to life, property, and the environment, making early detection and fast suppression vital. This paper presents the design and application of an automatic flame detection and suppression system using Arduino Uno. The system uses flame devices to notice the presence and direction of flame, while the Arduino Uno processes the sensor data to control engines for sensor site and water pumping. The design joins two …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 7–14 Read article
-
Smart Iron Box with Automatic Cloth Detection and Heat Adjustment
Abstract: Ironing continues to be a lengthy and sometimes monotonous activity in domestic chores; especially among those with busy schedules who need to ensure efficiency and minimize risks of harming delicate fabrics. This document discusses the design and development of an intelligent ironing machine that performs ironing tasks using embedded computing and multi-sensor fabric identification. Unlike traditional irons that depend entirely on the manually chosen temperatures and user discretion, the developed …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
-
Automatic Fault Detection in Mosquito Nets Using Machine Vision System
Abstract: AbstractMosquito-borne diseases are flourishing worldwide. Dengue viruses and malaria protozoa are of increasing global concern in public health as it causes series of health issues, particularly to the current generation. The possible solution is to use mosquito nets as a preventive measure. Mosquito nets are manufactured in large scale to provide protection from the infectious insects like mosquitoes. Manufactured nets are inspected using man power to find faults and errors, …
Published in Journal of Open Source Developments · Vol. 6, Issue 2, 2019 · pp. 6–11 Read article
-
IoT-Enabled Multi-Sensor Accident Detection and Automatic Rescue Alert System
Abstract: Road accidents and vehicle instability caused by skidding, engine overheating, and improper braking behavior remain major concerns in modern transportation systems. This project presents an intelligent vehicle safety and accident detection system that integrates multiple sensors and control logic to enhance driving safety and reduce accident severity. A vibration sensor is employed to detect collision or impact events and accurately identify vehicle accidents. An accelerometer sensor is used for real-time …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 1, 2026 · pp. 9–19 Read article
-
Automatic Flame Detection and Tracking
Abstract: Recent advancements in independent robotics, embedded systems, and intelligent perception have appreciably improved the capability of firefighting robots designed for early fire detection, flame localization, and suppression. A broad range of studies explores vision-based and sensor-fusion techniques designed for reliable flame discovery in complex environments. Image-processing approaches—including adaptive edge-detection, infrared/thermal imaging, color-space analysis, and profound learning—are extensively implement to enhance real-time fire gratitude, even in the presence of smoke or …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 6–12 Read article
-
Automatic Baby Cry Detector with sleep music player (ABCD)
Abstract: In today’s world, our lives have become moredependent on technology. One problem which caught our eyesis when parents have to leave their wards (aged between 3months to 2 years) alone due to some essential tasks for a shortduration, the baby goes unmonitored. Normally, parents dothis by leaving their child asleep. In many cases, the childwakes up and starts to cry. In absence of loved ones, babiesneed immediate calmness relief. A …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 1, 2023 · pp. 21–29 Read article
-
A Split and Merge UNet: A Deep Learning Assisted UNet Model to Segment Corpus Callosum of Brain for Automatic Autism Detection
Abstract: In recent years, deep learning techniques have shown remarkable performance in various image analysis applications, particularly in the domain of medical image processing. Among these, image segmentation plays a critical role, as it helps in isolating and analyzing specific regions within medical images. The proposed study focuses on segmenting the corpus callosum, a vital structure in the human brain, using a novel optimization technique known as the Split and Merge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
-
Semantic Similarity Framework for Automatic Hallucination Detection in Large Language Models
Abstract: Large Language Models can generate fluent, contextually appropriate text across a range of NLP tasks, but they frequently produce outputs that are factually wrong while sounding confident and plausible. This problem, referred to as hallucination, poses serious risks in domains where accuracy matters. We propose a post-processing framework that detects hallucinated responses by comparing them against verified reference text using sentence embeddings. The system computes cosine similarity between the response …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 16–22 Read article
-
Automatic Gas Leakage Detection System
Abstract: This project report presents the design and implementation of a focused automatic gas leakage detection and ventilation system centered on the Arduino Nano microcontroller and the MQ-2 gas sensor. The primary function of the system is to detect flammable gases like LPG, propane, and methane using the MQ-2 gas sensor. This sensor continuously monitors the surrounding air for the presence of these gases. When the gas concentration crosses a predefined …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 3, 2025 · pp. 29–35 Read article
-
Automatic Headlight Level Detector
Abstract: This paper presents the work on the automatic headlight level detector system. The basic concept is to be able to devise a mechanism which automates the verification of headlight’s working, i.e., to check whether the headlight beam is able to cover the required angle. The paper presents the three major stages of the work: making the hardware which includes designing the circuit by soldering the components, and making the board …
Published in Journal of Electronic Design Technology · Vol. 4, Issue 3, 2013 · pp. 1–4 Read article
-
Automatic Surface Defect Detection for Ceramic Tiles Using Digital Image Processing: A Literature Review
Abstract: The term quality is the most important factor in many industries. Whole business and the brand name are dependent upon the quality of produced goods. Defect detection is generally done manually while manufacturing may be fully automatic. Therefore, our aim is to enhance quality control by integrating various image-processing techniques, before dispatching of the final product to make no rejection rate. An automated system is expensive at the installation but …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 2, 2018 · pp. 1–6 Read article
-
Automatic Track Faults Detection and Time Delay by using Embedded System
Abstract: AbstractThe technology used in metro train movement is the one which is used in most developed countries. The train contains a controller that gives the permission to the continuous running of the train from initial station to the upcoming destination. In this module, a self-directed train will eliminate the need of any driver; therefore, any manmade error will not take place. In this project, arduino controller has been used as …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 7, Issue 2, 2019 · pp. 10–14 Read article
-
Image Processing and Deep CNN-based Automatic Liver Cancer Detection
Abstract: Liver cancer ranks among the leading causes of mortality for people worldwide. In the current situation, manually identifying the cancer tissue is a challenging and timeconsuming task. Treatment planning, response monitoring, tumor load assessment, and prediction are all made possible by the segmentation of liver lesions in CT scans. To address the current problem of liver cancer, the Hybridized Fully Convolutional Neural Network (HFCNN), which has been theoretically modeled, has …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 39–41 Read article
-
Enhancing Road Safety: A Robotic System for Automatic Pothole Identification and Filling
Abstract: Innovative technologies called automatic pothole detection systems are made to automatically locate and identify potholes on road surfaces. These systems incorporate many components, including sensors such as cameras, LiDAR, and accelerometers, to acquire data on the road conditions. Potholes on roads provide serious risks to passing cars and pedestrians, which can result in collisions, damage to cars, and deterioration of the infrastructure. Automatic pothole detection systems, which make use of …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 3, 2024 · pp. 1–6 Read article
-
Multi Face Detection and Gender Classification Based Attendance System
Abstract: Time management is critical in today's hectic classroom, and keeping track of attendance can take up valuable class time. Utilizing technologies like facial recognition and detection can greatly expedite this procedure. While face recognition algorithms compare the detected faces with known faces kept in a database, face detection algorithms can recognize human faces within a group photo or video stream. Without the need for human interaction, teachers can effectively record …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 1–7 Read article