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检索条件"任意字段=1st Canadian Conference on Computer and Robot Vision"

共 308 条记录，以下是11-20 订阅

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1st International conference on Advances in Artificial Intelligence and Machine Learning in Big Data Processing, AAIMB 2023

1st International Conference on Advances in Artificial Intel...

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1st International conference on Advances in Artificial Intelligence and Machine Learning in Big Data Processing, AAIMB 2023

ISBN: (纸本)9783031730641

The proceedings contain 51 papers. The special focus in this conference is on Advances in Artificial Intelligence and Machine Learning in Big Data Processing. The topics include: Topological Navigation of Path Planning Using a Hybrid Architecture in Wheeled Mobile robot;abnormal Behaviour Detection in Surveillance Videos;ISAApp – Image Based Smart Attendance Application;a Self-learning Ai-Based Information Leak Protection System;enhancing Abnormal Object Detection in Camera-Based Systems Through computer vision and Deep Learning Techniques;Detection and Classification of Brain Tumor in Magnetic Resonance Images Using CNN;diagnosis of Parkinson’s Disease Using Machine Learning and Deep Learning Techniques;a Survey on Deep Learning Based Human Activity Recognition System;a Deep Learning Approach for Non - invasive Body Mass Index Calculation;Early-stage Detection of Alzheimer’s Disease Using MRI Scans with Deep Learning;penguin Search Optimization with Deep Learning Based Cybersecurity Malware Spectrogram Image Classification;Detection and Classification of Skin Disease Using CNN;estimation of Above Ground Biomass Using Machine Learning and Deep Learning Algorithms: A Review;URL Phishing Detection Using Deep Learning and Machine Learning Techniques;enhanced Disease Recognition and Classification in Black Gram Plant Leaves Using Deep Learning;Ensemble Deep Learning Approach for Identification of DDOS Attack;ROCLT: Enhanced Text Classifier for Sentiment on Imbalanced Multiclass Tweet Data Using Hybrid Deep Learning Techniques;computer vision to Animal Footprint Classification Based on Deep Learning Model;Speech Emotion Recognition Using CNN Classifier Based on Deep Learning Model;face Detection and Recognition for Criminal Identification System Using Deep Learning.

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Artificial Intelligence Algorithms for robotic Harvesting of Agricultural Produce

Artificial Intelligence Algorithms for Robotic Harvesting of...

引用

AIML-Applications for Engineering & Technology (ICAET), International conference on

作者： Nilesh R. Kolhalkar Anupama A. Pandit Shridhar Ashok Kedar G. Yedukondalu Department of Mechanical Engineering MKSSS's Cummins College of Engg. For Women Pune MH India Department of Computer Science & Engg. Defence Institute of Advanced Technology (D.I.A.T) Pune Pune MH India Department of Mechanical Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Vijayawada A.P. India

ISBN: (数字)9798350355611

ISBN: (纸本)9798350355628

robotic harvesting of fruits and vegetables is an advanced technology that leverages robotics, Artificial Intelligence, and Machine vision to harvest the fruits autonomously from plants or trees. This technology aims to address labor shortages, enhance efficiency, reduce costs, and minimize damage to the fruit during harvesting. AI algorithms for fruit detection and harvesting are increasingly used in agricultural automation to improve efficiency and accuracy. The accuracy of detection algorithms in fruit detection and harvesting can differ reliant on various factors, including the type of algorithm used, the quality and diversity of the training data, the complexity of the environment, and the specific fruits being targeted. Advanced control algorithms integrated with image processing ensure that the robotic arm moves smoothly and accurately, minimizing the risk of bruising or damaging the fruit. Soft robotics and adaptive gripping technologies are discussed in the paper which can handle delicate fruits like grapes, without applying excessive force. Machine vision integrated robot arm with novel gripper and cutter for harvesting cluster fruit like grapes is reported in the paper. Case studies of agricultural robots for Orchards, Greenhouses and Field Crops are discussed with detailed analysis along with challenges, future trends and innovations.

关键词： Accuracy Costs Automation Machine vision Pipelines Lighting Training data robot sensing systems Prediction algorithms robots

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Enhancing Industrial Automation Flexibility Through Neural Network-Empowered Machine vision Applications 1st

Enhancing Industrial Automation Flexibility Through Neural N...

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1st International conference on Artificial Intelligence and its Applications, ICAIA 2023

作者： George, Navin M. Rosero, Evelyn Mayakannan, S. Shameem, A. Divya, S. Arul, N. Electronics and Communication Engineering Karunya Institute of Technology and Sciences Tamil Nadu Coimbatore641114 India Riobamba060155 Ecuador Department of Mechanical Engineering Vidya Vikas College of Engineering and Technology Namakkal Tamilnadu Tiruchengode India AMET Business School AMET University Tamilnadu Chennai India Erode Tamil Nadu Perundurai638057 India Department of Mechatronics Engineering Sona College of Technology Tamilnadu Salem India

ISBN: (纸本)9783031843969

vision-based systems provide non-contact sensory input for processing and feedback, expanding the capabilities of industrial automation applications. Prediction using ANNs aids such conformities in navigating nonlinear computational landscapes. They map the plethora of potential outcomes or zones of uncertainty introduced by the system’s constituents onto a set of feasible options for action. A measure of intelligence is transferred to robotic systems through the use of trained networks. Two uses of machine vision are presented here. The 3 DOF robotic assembly enables precision cutting of fragile materials with the help of visual guiding and pixel elimination. The 6-degrees-of-freedom robot uses a combination of visual feedback from an onboard camera and supervision from an external camera to achieve its goals. Pick-and-place operations are executed with a switching control method. Both systems improved in terms of computing time and convergence once ANN was used to make the strategies intelligent. The retrieved scene image features are put to use by the networks in a variety of ways. The simulation and experimental results that back up the suggested approaches demonstrates the value of artificial neural network in machine vision applications. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： robotic assembly

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Real-time motion tracker for a robotic vision system

Real-time motion tracker for a robotic vision system

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1st canadian conference on computer and robot vision

作者： Mikhalsky, M Sitte, J Queensland Univ Technol Ctr Informat Technol Innovat Smart Devices Lab Brisbane Qld Australia

ISBN: (纸本)0769521274

Estimation of distance to nearby landscape features is an essential navigation capability for an autonomous mobile robot. The ability to track targets in video sequences, combined with the concept of motion vision, allows a robot to rely on vision-based navigation techniques and avoid using active sensors or sophisticated stereo imagers for distance measurement. We present recent developments of our work on a real-time vision system capable of estimating distance to targets by tracking their apparent motion. The algorithm is designed for implementation on chip-level parallel computer architecture and to work synchronously with an imager at very high frame rates. Test results demonstrate sufficient stability of tracking and low sensitivity to noise and interference.

关键词： computer vision

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vision guided control of multiple robots

Vision guided control of multiple robots

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1st canadian conference on computer and robot vision

作者： Fiala, M Natl Res Council Canada Computat Video Grp Ottawa ON K1A 0R6 Canada

ISBN: (纸本)0769521274

A vision based system is presented for controlling multiple robot platforms in real time using imagery from a top view video camera. This article is a system paper that demonstrates the advantages of computer vision for robot control. A control loop using vision feedback allows creation of a robust working system while greatly reducing the complexity of the rest of the system. Planar marker pattern marker detection is an example of computer vision that is robust enough with today's technology for industry, and is employed for locating the robots with passive vision. Image processing in software obviates the need for complex systems for odometry, sonar etc normally found in robotics. The control of two robotic platforms is achieved with the simplest possible hardware, with computer vision as the only feedback in the system. A system is shown and described where a user can choose desired locations for the robots, which are guided around obstacles to their destinations using ARToolkit marker patterns detected in imagery from a stationary digital video camera.

关键词： robot navigation marker detection vision guidance ARToolkit

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A reinforcement learning framework for parameter control in computer vision applications

A reinforcement learning framework for parameter control in ...

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1st canadian conference on computer and robot vision

作者： Taylor, GW Univ Waterloo Pattern Anal & Machine Intelligence Lab Waterloo ON N2L 3G1 Canada

ISBN: (纸本)0769521274

We propose a framework for solving the parameter selection problem for computer vision applications using reinforcement learning agents. Connectionist-based function approximation is employed to reduce the state space. Automatic determination of fuzzy membership functions is stated as a specific case of the parameter selection problem. Entropy of a fuzzy event is used as a reinforcement. We have carried out experiments to generate brightness membership functions for several images. The results show that the reinforcement learning approach is superior to an existing simulated annealing-based approach.

关键词： computer vision

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vision-based multi-robot simultaneous localization and mapping

Vision-based multi-robot simultaneous localization and mappi...

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1st canadian conference on computer and robot vision

作者： Hajjdiab, H Laganière, R Univ Ottawa Sch Informat Technol & Engn VIVA Res Lab Ottawa ON K1N 6N5 Canada

ISBN: (纸本)0769521274

In this paper we present a vision-based approach for the multi-robot Simultaneous Localization and Mapping (SLAM) problem. We study the case of a team of robots equipped with a single camera and collaborating in the same worksite. We propose to calculate the location of the robots by using a collection of sparse views of the planar surface on which these robots are moving. The camera motions are estimated using inter-image homographies computed from the matching of overhead transformed views. Results of map generated from the estimated robot locations are presented.

关键词： sparse view matching robot localization homography camera pose estimation

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stand-alone vision sensor design based on fuzzy associative database

Stand-alone vision sensor design based on fuzzy associative ...

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1st canadian conference on computer and robot vision

作者： Shahir, S Univ Waterloo Dept Syst Design Engn Waterloo ON N2L 3G1 Canada

ISBN: (纸本)0769521274

In this paper a comprehensive design methodology for stand-alone vision sensor with application in manufacturing production lines is presented The sensor can be employed as a substitute for traditional sensors, such as photoelectric and proximity sensors. The advantage of the vision sensor over traditional manufacturing sensors is distinguishing the incoming product prior to determination of the product position. The sensor is designed based on Fuzzy Associative Database (FAD). The proposed method is extremely fast and suitable for real time processing. After training, the sensor will be able to recognize the coming product by conducting fuzzy search over the knowledge base. If the vision sensor recognized the product, the sensor provides the product category, position and speed for programmable logic controllers (PLC) or other controllers to perform further action.

关键词： Databases Flexible manufacturing systems Production Costs Sensor systems and applications Programmable control Motion control Capacitive sensors Process control Fuzzy systems

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Commodity real-time stereo vision for navigation

Commodity real-time stereo vision for navigation

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1st canadian conference on computer and robot vision

作者： Bromley, SP Zelek, JS Dony, RD Univ Guelph Sch Engn Guelph ON N1G 2W1 Canada

ISBN: (纸本)0769521274

The performance evaluation of a new approach to efficient disparity map computation for stereo vision is presented. Using Bayesian particle filtering to focus computational expenditure on image regions of primary importance to a navigational task allows the robust computation of a depth map sufficiently dense for most navigational tasks, while minimizing the computational load, and thus the resources, required. We show that a particle-guided approach allows the efficient construction of a sparse disparity map which intelligently samples navigationally relevant scene information allowing real-time stereo computation on commodity hardware suitable for navigational tasks.

关键词： stereo vision

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Visual tracking using active appearance models

Visual tracking using active appearance models

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1st canadian conference on computer and robot vision

作者： Birkbeck, N Jagersand, M Univ Alberta Edmonton AB T6G 2M7 Canada

ISBN: (纸本)0769521274

Visual tracking is one of the fundamental problems in computer vision. The pose of an object extracted through consecutive frames has a variety of applications ranging from robot navigation to camera based man-machine interfaces. In this paper we examine the use of Active Appearance Models(AAM)for the task of visual tracking. The original Active Appearance Model is limited to have all points of the model visible in all frames. We introduce a notion of visibility uncertainty for the points in the AAM, removing the above limitation and therefore allowing the object to contain self-occlusions. The visibility uncertainty is easily integrated into the existing AAM framework, keeping model initialization time to a minimum. We have experiments illustrating that the extension allow AAMs to track through self occlusions at near real-time.

关键词： computer vision

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