Computer Vision and Machine Vision
Computer Vision and Machine Vision focuses on enabling machines to capture, interpret, and analyze visual information for autonomous decision-making. Vision algorithms support object detection, tracking, inspection, and navigation. In robotics, machine vision improves accuracy in manipulation, quality control, and environment perception. Deep learning enhances visual recognition, enabling robots to operate effectively in complex surroundings. These technologies power applications such as autonomous vehicles, drones, and industrial automation. Machine vision is essential for developing systems with advanced visual intelligence.
Article Processing Timeline
| 2-5 Days | Initial Quality & Plagiarism Check |
| 25-35 Days |
Peer Review Feedback |
| 45-60 Days | Total article processing time |
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Journal Highlights
Robotics Engineering
Intelligent Automation
Autonomous Systems
Artificial Intelligence and Machine Learning
Human-Robot Interaction
Industrial Robotics
Smart Manufacturing and Industry 4.0
Internet of Things -IoT
Cyber-Physical Systems
Computer Vision and Machine Vision
UAVs and UGVs - Unmanned Aerial and Ground Vehicles
Robotic Sensors and Actuators
Autonomous Navigation and Path Planning
Embedded and Real-Time Systems
Smart Cities and Smart Infrastructure
Robotics in Healthcare
Agricultural and Service Robotics
Robotic Manipulation and Control
Edge and Cloud Robotics
Safety, Ethics and Human-Centric Automation
Open Access Journals
Journal of Psychiatry and Psychological Sciences
Journal of Cardiology and Heart Failure
Journal of Pediatric Medicine and Child Health
Journal of Nanoscience and Nanomaterials
Journal of Climate Change and Pollution
Journal of Molecular and Cellular Life Sciences
Journal of Plant Science and Biotechnology
Journal of Artificial Intelligence and Digital Health
Journal of Genomics and Precision Medicine
Journal of Robotics, Automation and Smart Systems
Journal of Sport Medicine, Science and Rehabilitation
Journal of Mathematics, Physics and Mechanics
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