Bridge crane load swing angle detection method based on computer vision
Bridge ultrahigh collision protection method based on computer vision and actuators
The invention discloses a bridge ultrahigh collision protection method based on computer vision and an actuator, and relates to the
...METHODS AND APPARATUS FOR IMAGE PROCESSING
Apparatus and methods for image processing are provided. Imaging devices may be coupled to movable objects, such as unmanned aerial
...Methods and apparatus for image processing
Apparatus and methods for image processing are provided. Imaging devices may be coupled to movable objects, such as unmanned aerial
...From Image Analysis to Computer Vision: Motives, Methods, and Milestones
Computer Vision-Based Monitoring of Ship Navigation for Bridge Collision Risk Assessment
A Simplified Computer Vision System for Road Surface Inspection and Maintenance
Escalator safety automatic monitoring method and system based on computer vision
The invention discloses an escalator safety automatic monitoring method and system based on computer vision, and the method comprises
...Industrial objects recognition in intelligent manufacturing for computer vision
Computer vision recognition has attracted the attention of researchers in many application areas and has been used to
...Survey on Traffic Sign Recognition Using Computer Vision Technologies
Traffic violation behavior detection method based on computer vision
The invention discloses a traffic violation behavior detection method based on computer vision, and the method comprises the steps
...Colloquium on "Genetic Algorithms in Image Processing and Vision"
Unmanned ship automatic target detection method and system based on computer vision
Subway train wheel-rail force monitoring method based on computer vision
Automated Driver Drowsiness Detection System using Computer Vision and Machine Learning
Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology
Comparative Study of Computer Vision Based Line Followers Using Raspberry Pi and Jetson Nano
Erratum to: Computer Vision for Driver Assistance: Simultaneous Traffic and Driver Monitoring
Self-supervised Distillation for Computer Vision Onboard Planetary Robots
Autonomous Driving Through Road Segmentation Based on Computer Vision Techniques
Possibilities of Evaluating the Dimensional Acceptability of Workpieces Using Computer Vision