Results 81 to 90 of about 12,664 (249)

WASTEWISE: AI-POWERED WASTE EDUCATION FOR ELEMENTARY STUDENTS USING YOLOV8 AND ESP32-CAM

Pilar Nusa Mandiri
The growing volume of global waste poses a significant challenge for effective waste management, particularly in developing countries where awareness and practices around waste sorting remain limited. This study aims to enhance elementary school students'
Kenny Aldi, Yan Rianto
doaj   +1 more source

Accelerating Pinned Insect Specimen Digitization: A Deep Learning Pipeline for Future Collaborative Robots

Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.
The study presents a prototype novel workflow that utilizes artificial intelligence for the digitization of natural history collections, which would fit within a robotic‐integrated system. The work focuses on a collaborative‐robot (cobot) inspired workflow to digitize one of the largest collections housed at the Natural History Museum UK: pinned ...
Naifeng Zhang, Arianna Salili‐James, Sanson T. S. Poon, Jack D. Hollister, Ben Scott   +4 more
wiley   +1 more source

YOLOv8-Coal: a coal-rock image recognition method based on improved YOLOv8

PeerJ Computer Science
To address issues such as misdetection and omission due to low light, image defocus, and worker occlusion in coal-rock image recognition, a new method called YOLOv8-Coal, based on YOLOv8, is introduced to enhance recognition accuracy and processing speed.
Wenyu Wang, Yanqin Zhao, Zhi Xue
openaire   +3 more sources

Lightweight Object Detection Algorithm for Electric Meter Calibration Line

Shuju Caiji Yu Chuli
In the industrial production line scenario， target detection technology with visual information has become a new hotspot for intelligent production， providing decision‑making information for fault detection and elimination.
DONG Xianguang, SUN Yanling, DAI Yanjie, XING Yu, ZHAI Xiaohui, SUN Kai, LYU Yuchao, WU Qiang, LIU Ju   +8 more
doaj   +1 more source

Large Language Model‐Embedded Intelligent Robotic Scrub Nurse with Multimodal Input for Enhancing Surgeon–Robot Interaction

Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.
A large language model (LLM)‐powered multimodal robotic scrub nurse control framework is proposed for enhancing human–robot interaction. Inside, the vision module gives out instrument class, location, and occlusion relationship. Speech module captures and converts user's speech commands.
Wing Yin Ng, Wanyu Ma, Pheng Ann Heng, Philip Wai Yan Chiu, Zheng Li   +4 more
wiley   +1 more source

Detection of Keratoconus through YOLOv8 Region of Interest Preprocessing and Pre-trained Convolutional Neural Networks Using 2D Images

Cyprus Journal of Medical Sciences
BACKGROUND/AIMS: This study presents a methodology for detecting keratoconus using pre-trained convolutional neural network (CNN) models. Five models were evaluated, namely, Xception, InceptionV3, ResNet152, InceptionResNetV2, and EfficientNetV2S ...
Muhammed Sideeq Anwar, Emre Özbilge
doaj   +1 more source

Parts Surface Defect Detection Algorithm Based on Improved YOLOv8s

Engineering Reports, Volume 8, Issue 1, January 2026.
Enhanced YOLOv8s for real‐time surface defect detection: An improved YOLOv8s deep learning model is developed for detecting fatigue and linear cracks on part surfaces. Trained on a high‐resolution crack dataset with diverse environmental and texture conditions, the model achieves mAP@0.5 = 0.9626, mAP@0.5:0.95 = 0.7803, Precision = 0.926, and Recall ...
Zhe Sun, Caiying Qiao, Dongrui Li, Enhua Zhang   +3 more
wiley   +1 more source

YOLOv8-UCB: Visual Detection of Pouch Battery Using Improved YOLOv8

IEEE Access
The aluminum laminate pouch of pouch batteries is highly prone to deformation, which can cause various surface defects, thereby affecting their service life and potentially posing safety hazards. To address this problem, we propose an algorithm named YOLOv8-UCB for detecting surface defects in pouch batteries, which is based on the YOLOv8 model. First,
Hao Hao, Xiang Yu
openaire   +2 more sources

An appearance defect detection method for pre-fried potato chips based on EISW-YOLOv8n

Shipin yu jixie
ObjectiveTo address the low speed and efficiency as well as missed and false detection in manual inspection of defective products in pre-fried potato chip production, enhance the accuracy and speed of product defect identification, and ensure safe ...
LI Jianjia, WANG Yongqiang, ZHOU Congling, WANG Hao   +3 more
doaj   +1 more source

A Critical Review on the Application and Innovation in Smart Fisheries

Engineering Reports, Volume 8, Issue 1, January 2026.
Smart fisheries powered by Artificial Intelligence (AI), Internet of Things (IoT), and machine learning can spot diseases early, monitor water in real time, and identify fish automatically, helping farmers boost yields, cut losses, and protect sustainability in countries like Bangladesh.
Shahim Uddin Saba, Fatima Ibrahim, Sabrina Islam Priti, Rayhan Pervej, Alaya Parven Alo, Mahady Hasan, Md. Tarek Habib   +6 more
wiley   +1 more source