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Application and validation of machine vision inspection for efficient in-process monitoring of complex biomechanical device manufacturing
A technique is presented for shifting the manufacturing quality control of complex biomechanical catheters away from destructive testing of finished...
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Configuration and Enablement of Vision Sensor Solutions Through a Combined Simulation Based Process Chain
Gierecker, Johann Schoepflin, Daniel Schmedemann, Ole Schüppstuhl, Thorsten Machine vision solutions can perform within a wide range of applications...
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Analysis of aerobic training posture using machine vision for body area networks
The application of wireless sensor networks (WSNs) for monitoring vital signs of a human body, i.e., Wireless body sensor networks (WBSNs), has...
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Accurate and Fast Fire Alignment Method Based on a Mono-binocular Vision System
Obtaining 3D coordinates of fire by binocular vision is beneficial for intelligent fire extinguishing. However, binocular vision technology has a...
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Machine Learning in Wireless Sensor Networks
Wireless sensor networks (WSNs) are the future of networking. They represent one of the best technologies for automation due to their...
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Extracting Features from Foul Actions of Basketball Players in Real Time Using Machine Vision
As the global economic landscape rapidly advances and people's quality of life continues to improve, there is a noticeable increase in the demand for...
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Autonomous Navigation for Mobile Robots with Sensor Fusion Technology
Autonomous navigation for a mobile robot is a method used to localize and navigate a robot in a random environment. The existing solution leverages a...
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Integrating intelligent machine vision techniques to advance precision manufacturing: a comprehensive survey in the context of mechatronics and beyond
Measuring machining parameters is essential for influencing the quality and precision of the finished product in the manufacturing and machining...
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Measuring Rotational and Translational Movements in Rotating Machines Using a Computer Vision Approach
For a variety of production and development processes, there is a need for precise and reliable measurements of rotating machinery or objects. In...
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Enhancing representational learning for cloud robotic vision through explainable fuzzy convolutional autoencoder framework
Robot vision is one of the most recent developments in robotics and automation technology. Owing to machine vision systems that integrate image...
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Neuromorphic Vision Chip
The development of a vision chip is inspired by the mechanism of the human visual system. The vision chip is a tight coupling of an image sensor, a...
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Tool wear monitoring based on the combination of machine vision and acoustic emission
Tool condition monitoring (TCM) has developed several mature methods to improve processing efficiency. However, existing methods either require the...
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Computer vision-based hand gesture recognition for human-robot interaction: a review
As robots have become more pervasive in our daily life, natural human-robot interaction (HRI) has had a positive impact on the development of...
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Structural Damage Identification Based on Convolutional Neural Network Group Considering the Sensor Fault
This article proposes a structural damage identification method based on one-dimensional convolutional neural network group considering sensor...
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PCBA Solder Vision Inspection Using Machine Vision Algorithm and Optimization Process
Inspection in the manufacturing industry is commonly used to detect any abnormality or non-conformance in entire processes. Human visual inspection...
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Vision Based Motion Planning of Humanoid Robots
Vision is the most effective sensing form for humans in understanding their environment, recognition of the objects around them and navigating from...
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Celestial compass sensor mimics the insect eye for navigation under cloudy and occluded skies
Insects use the sun’s position (even when concealed) as a compass for navigation by filtering celestial light intensity and polarisation through...
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Robotics multi-modal recognition system via computer-based vision
This paper presents a multi-modal recognition system (MMR) which can eliminates the need for using Barcodes and Radio Frequency Identification...
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Prediction and classification of IoT sensor faults using hybrid deep learning model
The quality and reliability of internet of thing (IoT) ecosystems heavily rely on accurate and dependable sensor data. However, resource limited...
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Power distribution network inspection vision system based on bionic vision image processing
In order to improve the effect of power distribution network inspection and reduce the hidden dangers and operating costs of the power distribution...
