To address the challenges associated with supervising workers who wear safety belts while working at heights, this study proposes a solution involving the utilization of an object detection model to replace manual supervision. A novel object detection model, named ESE-YOLOv8, is introduced...
Finally, the algorithm is used to fit the crop row and determine the omission locations. The specific objectives of this study are as follows. First, we propose an uncrewed rice transplanter omission detection method. Second, we design a CNN (YOLOv5-AC, YOLOv5 combines atrous spatial pyramid ...
System information (version) OpenCV => 4.1.2 Operating System / Platform => Windows 64 Bit Compiler => Visual Studio 2017 Cuda => 10.2 Hello ! I use darknet Yolo for object detection and it works very well. Unfortunately with the CPU it'...
Research on task path planning method for substation inspection robot and UAV based on genetic algorithm Based on the inspection environment and tasks of substation inspection robots and drones, a grid method is proposed to simulate the division of three-dimen... Wenjie Zheng,Yong Li,Sun Li,.....
The identification of the working stage is of great significance in the study of energy saving of excavators. In this paper, computer vision is introduced into the excavator's work cycle stage recognition, and the YoloV2 algorithm is used to establish a deep vision target detector to locate ...
To accomplish this, our paper discusses hardware and software components of a self driving car that includes usage of technologies such as Deep learning techniques namely Convolution Neural Networks, YOLO algorithm, Hough Transform Algorithms, Transfer Learning, Canny Edge Detection algorithm. Software ...
The identification of the working stage is of great significance in the study of energy saving of excavators. In this paper, computer vision is introduced into the excavator's work cycle stage recognition, and the YoloV2 algorithm is used to establish a deep vision target detector to locate ...
The Census and Sum of Absolute Differences (SAD) fused stereo matching algorithm is applied to compute the disparity map. We train a dataset of transmission line bolts within the YOLO framework to derive the optimal model. The identified bolts are framed, and the depth distance o...
The essay proposes an information-based disaggregation algorithm to systematically generate regionalized elasticities from a single prior, and offer an application to California's agriculture.University of California, Davis.Garnache, Cloe.University of California, Davis....
To ensure the safety of workers in automated factories, a novel and efficient warning-range algorithm is proposed to determine whether a person is in the warning range, introducing YOLOv4 tiny-object detection algorithms to improve the accuracy of determining objects. The results are displayed on ...