In robotic harvesting and yield prediction scenarios, real-time visual recognition of tomato fruit size often requires additional distance sensors or reference objects for measuring dimensions. This ...

Heat exchangers are important equipment in the industrial sector, and the technology for cleaning the fouling on their densely packed tube ports is rapidly evolving towards automation, efficiency, and ...

The environment in open-pit mines is inherently challenging for intelligent monitoring technologies due to the reliance on artificial lighting, the absence of color information, and the similarity ...

MentorPi is a ROS2-compatible robot car powered by the Raspberry Pi 5, designed for AI-driven robotics and Python programming. It offers two chassis options: MentorPi-M1, which features a ...

This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...

This repository contains code and instructions for performing object detection using the YOLOv5 model with the CrowdHuman dataset, utilizing ONNX Runtime for inference. If you have custom weights, you ...

The food we eat is receiving a lot of attention due to the fast development of technology. Skilled labor is one of the most expensive components in the agricultural business. The industry is leaning ...

Introduction: Hair loss has always bothered many people, with numerous individuals potentially facing the issue of sparse hair. Methods: Due to a scarcity of accurate research on detecting sparse hair ...

The detection of smoking behavior is an emerging field faced with challenges in identifying small, frequently occluded objects like cigarette butts using existing deep learning technologies. Such ...