The capabilities of drones are increasing every day, as is the ease with which civilians can buy and fly them. Most drones are equipped with a camera that is used by a point-of-view operator and, at the same time, can be used for image capture. ...

• Drone and drone camera detection based on depth-sensing camera and YOLOv5 algorithm.
• The 2-axis real-time tracking system recognizes a drone and locates the position of the drone camera.
• Vision disruption based on laser dazzling.

Traffic sign detection poses a challenging task for autonomous driving systems, particularly in complex scenarios with multi-scale traffic sign objects. The significant variations of the traffic signs scale leads to the issues of false positives ...

Ship detection from visual image (SDVI) plays a significant role in terminal management, cross-border ship detection and marine target tracking. Compared to synthetic aperture radar (SDSAR) based ship detection, SDVI has superior performance on ...

Automated Optical Inspection (AOI) systems in industrial settings typically consist of the lighting module, the image capture module, the image processing, and the anomaly detection module. This paper presents a prototype for quality inspections in cast-...

With the technology advances, deep learning-based object detection has made unprecedented progress. However, the small spatial ratio of object pixels affects the effective extraction of deep details features, resulting in poor detection results in small ...

Printed Circuit Board (PCB) surface defect detection is a crucial part of the PCB production and manufacturing process, which is vital in the manufacturing of electronic devices, and it is a challenging task to realize efficient and accurate PCB ...

An accurate diagnosis of a brain tumour in its early stages is required to improve the possibility of survival for cancer patients. Due to the structural complexity of the brain, it has become very difficult and tedious for neurologists and ...

With the rapid development of industrialization and urbanization, facing the inefficiency and high cost of traditional manual inspection, this design proposes a smart river inspection system based on YOLOv5, which aims to automatically monitor the river ...

This research proposes an Artificially Intelligent enabled Smart Supermarket System for enhanced efficiency, security and reduces man power as compared to traditional Supermarkets. In order to ensure a perfect omnichannel shopping experience the system ...

This paper aims to provide an in-depth analysis of the performance of various versions of the YOLO (You Only Look Once) object detection models and aims to provide a comparative perspective on the functioning of these models on a Raspberry Pi 8GB RAM ...

The efficacy of conventional traffic sign detection is vulnerable to various factors, including diverse lighting, unfavorable weather, and intricate backgrounds. Furthermore, the feature pyramids in deep learning methodologies may destroy the ...

Currently, the use of deep learning technologies for detecting defects in transmission line insulators based on images obtained through unmanned aerial vehicle inspection simultaneously presents the problems of insufficient detection accuracy and ...

With the rapid expansion of the electronics industry, the demand for high-quality printed circuit boards has surged. However, existing PCB defect detection methods suffer from various limitations, such as slow speeds, low accuracy, and restricted ...

In the context of online education, a vast number of instructional videos have emerged. Precise segmentation of instructional videos based on knowledge points is of significant importance for tasks such as knowledge graph construction and adaptive ...

Early inspection of the blade surface defects of wind turbines not only reduces costly repairs, but also prevents the occurrence of grave defects in safety. The current objective inspection methods in detecting surface defects of wind turbine blades have ...

To address the issues of varying defect sizes, inconsistent data quality, and real-time detection challenges in steel defect detection, we propose a real-time efficient steel defect detection network (RTSD). This model employs a multi-scale ...

Given the crucial role of teachers as role models for students, identifying their smoking behavior in the classroom environment is essential for setting positive role models and promoting healthy lifestyle habits among students. This paper proposes a ...

• A MOT method was proposed for pig behavior tracking.
• An evaluation metric for behavioral statistics were proposed.
• We conducted experiments comparing MOT with and without pig behavior classification.
• We used YOLOv5-Byte, ...

In the precision-driven field of intelligent livestock breeding, the accurate monitoring and tracking of individual pig behaviors are crucial for assessing health and preventing disease. However, the complex environment of pig farms and the ...

The enhancement of volleyball players' tactical proficiency has emerged as a focal point of research. Addressing this, this paper proposes a swift trajectory tracking method for volleyball's front spike by utilizing the YOLOv5 algorithm. The process ...

The enhanced YOLO algorithm YOLOv5-Z is designed for precise target detection. This paper primarily focuses on optimizing the YOLOv5 target detection model by refining the detection frame generation strategy, ensuring the generated rectangular outline ...