Canned Food Surface Defect Classification Using YOLOv4

AG Asenci, JEDC Bulawan… - 2022 5th International …, 2022 - ieeexplore.ieee.org
According to Association of Food and Drug Officials (AFDO), the canned food's defect can be
classified into Class 1–Critical Defect, Class 2–Major Defect, and Class 3 Minor Defect …

Defect Detection and Classification of Soybean Using Convolutional Neural Network

FCA Bascara, AN Yumang - 2024 7th International Conference …, 2024 - ieeexplore.ieee.org
One of the aims of this paper is to construct an operational prototype that conducts an image-
processing system that utilizes the defect detection and classification of soybeans by using a …

Integrating YOLOv8 and Cosine Similarity for Food Recipe-Specific Ingredient Collection and Recommendation

IPA Tipan, AN Yumang - 2024 15th International Conference on …, 2024 - ieeexplore.ieee.org
Artificial Intelligence (AI) is revolutionizing all the industry, including the culinary domain.
The paper aims to develop an innovative food recommendation system by integrating the …

Design of a road marking violation detection system at railway level crossings.

H Susilawati, S Nurpadillah… - … Journal of Electrical …, 2025 - search.ebscohost.com
When a train passed through a railway-level crossing, a common phenomenon was that
many vehicles attempted to overtake others by crossing into lanes designated for oncoming …

Performance Analysis of EfficientNet for Rice Grain Quality Control-An Evaluation against YOLOv7 and YOLOv8

GG Yadao, OMY Julkipli… - 2024 7th International …, 2024 - ieeexplore.ieee.org
This study presents a comprehensive performance analysis of EfficientNet, focusing on its
application in rice grain quality control and comparing it with two other deep learning …

CalorieSense: Design and Development of a Barcode-Free Calorie Monitoring Device using MobileNetSSD for Automated Food Detection

SE Clar, JF Villaverde - 2023 IEEE 5th Eurasia Conference on …, 2023 - ieeexplore.ieee.org
In a fast-paced environment, where unhealthy eating habits become a norm, monitoring
calorie consumption and maintaining a nutritious diet is vital. Engaging in physical activities …

Deployment of Real-Time Object Recognition in Raspberry Pi with Neural Compute Stick for Blind and Deaf People

K Hari, MA Chowdary, M Sumathi… - … on Applied Artificial …, 2024 - ieeexplore.ieee.org
This study details the process of building a system to identify objects that make use of
Raspberry Pi, neural networks, and several sensors. To make a flexible and portable setup …

Nail Abnormality Identification Using Roboflow and Yolov8

RV Pellegrino, JHT Lacuesta… - Proceedings of the 2024 …, 2024 - dl.acm.org
This study focuses on the automation of the Clotting Time coagulation test through the use of
image processing. Image to be processed will be taken from the Arduino Yun which serves …

Classification of Cotton Fabric, Pineapple Fabric and Cotton Pineapple Blend Fabric with VGG16 using Keras

JF Villaverde, MD Ferrer, JAT Macabeo… - 2023 IEEE 15th …, 2023 - ieeexplore.ieee.org
Plant leaves represent valuable raw materials for fabric production, offering an eco-friendly
alternative to traditional textiles. Converting these leaves into fibers opens opportunities for …

Nitrification in Aquaponics for Sustainable System in a Symbiotic Environment using Genetic Algorithm

JLD Chang, JTA Domingo… - 2023 IEEE 15th …, 2023 - ieeexplore.ieee.org
Aquaponics is the process of growing plants and cultivating fish in a single water cycle. This
study aims to develop a sustainable Aquaponics system using nitrification to balance the …