scholarly journals A FRAMEWORK TO DEVELOP INTELLIGENT SYSTEM FOR CAPTURING PRODUCT FEATURES USING OPEN CV TECHNIQUE

2020 ◽  
Vol 15 (Number 2) ◽  
pp. 42-51
Author(s):  
Yazid Abdullsameea Saif ◽  
Yusri Yusof ◽  
Maznah lliyas Ahmed ◽  
Zohaib khan Pathan ◽  
Kamran Latif ◽  
...  
Keyword(s):  
Computer Vision ◽  
Model Comparison ◽  
Intelligent System ◽  
Cost Effective ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Work Piece ◽  
Quality Inspection ◽  
Cnc Machine ◽  
Cost Effective Technique

This research aims to propose an innovative framework using ISO14649 standard to detect defects in manufactured shaped objects or geometric surfaces of non-linear products of the CNC machine. The significant importance in order to recognize the potential to improve industry product quality inspection and encourage the waste of timing machines and product rejection. Open Computer Vision (Open CV) offers a smart, non-contact measurement and cost-effective technique to fulfil the requirements. The framework depends on the new technique of Open CV, which includes two parts: an intelligent selection of work-piece capturing the image for a particular inspection of the planar interfaces such as the hole, rectangular, pocket one, and the symmetric lighting model comparison approach for measurement of defects in the matched images. The contribution of this study is to build a structure in the computer vision method with a convolution neural network that predicts the classification of the feature for better accuracy and emphasizes the significant characteristics of the image processing technique coupled with experimental data on demanding image datasets and quality inspection measures.

Developments in computer vision system, focusing on its applications in quality inspection of fruits and vegetables-A review

2017 ◽  
Vol 38 (02) ◽  
Author(s):  
Santosh Chopde ◽  
Madhav Patil ◽  
Adil Shaikh ◽  
Bahvesh Chavhan ◽  
Mahesh Deshmukh
Keyword(s):  
Computer Vision ◽  
Fruits And Vegetables ◽  
Vision System ◽  
Cost Effective ◽  
Quality Analysis ◽  
Quality Inspection ◽  
Safety Standards ◽  
Cost Effective Technique ◽  
Recent Developments ◽  
Computer Vision Technology

Quality inspection of food is a tedious and labor intensive process. Ever-increasing population, losses in handling and processing and the increased expectation of food products of high quality and safety standards has raised the need for accurate, fast and objective quality determination methods. Manual quality inspection is a slow, costly, unreliable process and suffers from poor repeatability. Computer vision provides one alternative for an automated, non-destructive and cost-effective technique to accomplish these requirements. Computer vision is a rapid, economic, consistent, objective inspection and evaluation technique. Computer vision has been successfully adopted for the quality analysis of meat and fish, fruits, vegetables and bread with applications ranging from routine inspection to the complex vision guided robotic control. The paper presents the recent developments in computer vision technology along with important aspects of image processing techniques coupled with application of computer vision technology in quality inspection of fruits and vegetables.

scholarly journals An Application Study on Road Surface Monitoring Using DTW Based Image Processing and Ultrasonic Sensors

2020 ◽  
Vol 10 (13) ◽  
pp. 4490 ◽  
Author(s):  
Sunil Kumar Sharma ◽  
Haidang Phan ◽  
Jaesun Lee
Keyword(s):  
Image Processing ◽  
Cost Effective ◽  
Processing Technique ◽  
Road Surface ◽  
Image Processing Technique ◽  
Ultrasonic Sensors ◽  
The Road ◽  
Surface Irregularities ◽  
Road Surface Monitoring ◽  
Surface Monitoring

Road surface monitoring is an essential problem in providing smooth road infrastructure to commuters. This paper proposed an efficient road surface monitoring using an ultrasonic sensor and image processing technique. A novel cost-effective system, which includes ultrasonic sensors sensing with GPS for the detection of the road surface conditions, was designed and proposed. Dynamic time warping (DTW) technique was incorporated with ultrasonic sensors to improve the classification and accuracy of road surface detecting conditions. A new algorithm, HANUMAN, was proposed for automatic recognition and calculation of pothole and speed bumps. Manual inspection was performed and comparison was undertaken to validate the results. The proposed system showed better efficiency than the previous systems with a 95.50% detection rate for various road surface irregularities. The novel framework will not only identify the road irregularities, but also help in decreasing the number of accidents by alerting drivers.

scholarly journals Design and Development of an Intelligent System for Pothole and Hump Identification on Roads

2019 ◽  
Vol 8 (3) ◽  
pp. 5294-5300 ◽  
Keyword(s):  
Image Processing ◽  
Fuel Consumption ◽  
Intelligent System ◽  
Processing Technique ◽  
Simple Solution ◽  
Image Processing Technique ◽  
Raspberry Pi ◽  
Ultrasonic Sensors ◽  
Design And Development ◽  
Geographical Position

Country’s economy depend on well-maintained roads as they are major means of transportation. It becomes essential to identify pothole and humps in order to avoid accidents and damages to the vehicles that is caused because of distress to drivers and also to save fuel consumption. In this regard, this work presents a simple solution to detect potholes and humps and hence avoid accidents and help drivers. Potholes are detected using Image Processing Technique and Ultrasonic Sensors are used to detect humps. Controlling device used is Raspberry Pi. The system acquires the geographical position of potholes using Wi-Fi and transmits it to authorities to take corrective measures

scholarly journals The Implementation of Multilevel Colour Thresholding on a Prototype Coffee Machine

2020 ◽  
Vol 4 (2) ◽  
pp. 121
Author(s):  
Nova Resfita ◽  
Rahmadi Kurnia ◽  
Fitrilina Fitrilina
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Speech Recognition ◽  
Daily Life ◽  
Recognition System ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Speech Recognition System ◽  
Vast Number ◽  
Coffee Machine

The development of computer vision has expanded widely as there is a vast number of its applications in various aspects of daily life. One of its implementations is integrating the image processing technique on a prototype coffee machine based on the speech recognition system. This study aims to detect the requested coffee colour spoken by users which are black, middle and light. The sensor used in this research is a digital PC camera and the applied method is Multilevel Colour Thresholding. Of all experiments conducted, the image processing technique can work perfectly as the camera is able to identify the requested colour of the coffee solution. Furthermore, the system might be developed by improving the multilevel colour thresholding technique as well as advancing the hardware design in order to establish more robust coffee machine based on the requested colour.

scholarly journals Strain Distribution Measurement of a Shear Panel Damper Developed for Bridge Structure

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Y. Liu ◽  
T. Aoki ◽  
M. Shimoda
Keyword(s):  
Strain Distribution ◽  
Cost Effective ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Triangular Element ◽  
Necessary Condition ◽  
Deformation Capacity ◽  
Loading Test ◽  
Shear Panel ◽  
Shear Panel Damper

A shear panel damper using low-yield steel is considered as one of cost-effective solutions to reduce earthquake damage to building structure. In this paper, we describe the development of a shear panel damper with high deformation capacity, which is a necessary condition for it to be a bridge bearing. The development is based on the measurement of strain distribution of the shear panels under cyclic loading test. For the measurement, an image processing technique is proposed to use with the two-dimensional finite element method, in which a constant stress triangular element is employed. The accuracy of the measurement is validated by comparing with the results acquired by strain gauges. Various shapes of shear panels are tested in the experiment to obtain the relationship between the strain distribution and the deformation capacity. Based on the results of the experiment, the shear panel damper is improved to achieve high seismic performance with large deformation capacity.

Mobile Robot Navigation Using Open Computer Vision with Fuzzy Controller

2008 ◽  
Vol 12 (4) ◽  
pp. 336-341
Author(s):  
Julirose Gonzales ◽  
◽  
Zahari Taha
Keyword(s):  
Computer Vision ◽  
Mobile Robot ◽  
Fuzzy Controller ◽  
Robot Navigation ◽  
Processing Technique ◽  
General Purpose ◽  
Global Environment ◽  
Image Processing Technique ◽  
Mobile Robot Navigation ◽  
Direction Of Movement

This research presents a fuzzy controller technique in navigation with obstacle avoidance for a general purpose mobile robot in a given global environment with image processing technique using Open Source Computer Vision (OpenCV) library on Visual C++. Fuzzy Logic is used to control the navigation of the robot towards the goal while avoiding obstacles along the way by changing its direction of movement. The positions of the mobile robot, obstacle and the destination are taken into consideration and an overhead camera (above the robot’s environment) is used to gather these necessary information. The images captured are processed using different techniques to get the desired positions and is directly integrated with the fuzzy controller making the algorithm more efficient compared to other vision-guided navigation techniques.

scholarly journals Robotic Arm System with Computer Vision for Colour Object Sorting

2018 ◽  
Vol 7 (4.27) ◽  
pp. 50
Author(s):  
Ong Kok Meng ◽  
Ong Pauline ◽  
Low Ee Soon ◽  
Sia Chee Kiong
Keyword(s):  
Computer Vision ◽  
Degrees Of Freedom ◽  
Processing Technique ◽  
Target Object ◽  
Inverse Kinematic ◽  
Obstacle Detection ◽  
Image Processing Technique ◽  
Robotic Arm ◽  
Flower Pollination Algorithm ◽  
Forward Kinematic

This study presents the development of robotic arm with computer vision functionalities to recognise the objects with different colours, pick up the nearest target object and place it into particular location. In this paper, the overview of the robotic arm system is first presented. Then, the design of five-degrees of freedom (5-DOF) robotic arm is introduced, followed by the explanation of the image processing technique used to recognize the objects with different colours and obstacle detection. Next, the forward kinematic modelling of the robotic arm using Denavit-Hartenberg algorithm and solving the inverse kinematic of the robotic arm using modified flower pollination algorithm (MFPA) are interpreted. The result shows that the robotic arm can pick the target object accurately and place it in its particular place successfully. The concern on user safety is also been taken into consideration where the robotic arm will stop working when the user hand (obstacle) is detected and resume its process when there is no obstacle.  

Voxel-Based Adaptive Toolpath Planning using GPU for Freeform Surface Machining

2021 ◽  
pp. 1-31
Author(s):  
Aman Kukreja ◽  
Mandeep Dhanda ◽  
Sanjay Pande
Keyword(s):  
Tool Path ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Freeform Surface ◽  
Processing Unit ◽  
Cad Model ◽  
Cnc Machine ◽  
Toolpath Planning ◽  
Toolpath Generation ◽  
Freeform Surface Machining

Abstract Today freeform surfaces are widely used on products in automobile, aerospace, and die/molds industries, which are generally manufactured using multi-axis CNC machines. Frequent changes in the design of products necessitate creation of CNC part programs which need fast and accurate toolpath generation methods. Traditional toolpath generation methods involve complex computations and are unable to consider multiple surface patches together. The voxel-based CAD model provides the ability to represent the multi-patch surfaces in a discretized manner which can be processed using an advanced parallel computing framework for accurate tool path planning. This paper presents a new method to generate an adaptive Iso-planar toolpath for a 3-axis CNC machine using the voxel-based part model. The algorithm is designed to work on a Graphics Processing Unit (GPU) that allows parallel processing for faster toolpath generation. The proposed approach consists of two main steps, an algorithm to generate gouge free cutter location points from the voxel-based CAD model and an algorithm to find out sidestep and forward step from those cutter location points to create the final CNC tool path. A new image-processing technique has been proposed to identify gouge by detecting the shadow surface voxels and their intersection with the cutting tool. The developed system was extensively tested and compared with the various reported toolpath planning strategies for machining complex freeform surface parts. The results show that the developed method is computationally efficient, robust, and accurate in generating adaptive planar toolpath.

Inspection and Grading of Surface Defects of Fruits by Computer Vision

2011 ◽  
Vol 317-319 ◽  
pp. 956-961 ◽  
Author(s):  
Jiang Bo Li ◽  
Xiu Qin Rao ◽  
Yi Bin Ying
Keyword(s):  
Computer Vision ◽  
Multispectral Imaging ◽  
Surface Defects ◽  
Three Dimensional ◽  
Cost Effective ◽  
Agricultural Industry ◽  
Advantages And Disadvantages ◽  
Pattern Recognition Methods ◽  
Cost Effective Technique ◽  
3D Information

Computer vision is a rapid, consistent and objective inspection technique, which has expanded into many diverse industries. Its speed and accuracy provide one alternative for an automated, non-destructive and cost-effective technique to accomplish ever-increasing production and quality requirements. This method of inspection has found applications in the agricultural industry, including the inspection and grading of fruits. This paper provides an introduction to main defection and grading approaches of fruit external defects, including image processing and pattern recognition methods based on fruit two-dimensional (2D) and three-dimensional (3D) information, and hyperspectral and multispectral imaging. In addition, their advantages and disadvantages are also discussed.

scholarly journals Fruit Quality Analysis using Image Processing

2020 ◽  
Vol 9 (5) ◽  
pp. 88-91
Keyword(s):  
Image Processing ◽  
Feature Extraction ◽  
Fruit Quality ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Quality Analysis ◽  
Quality Inspection ◽  
Critical Comparison ◽  
Texture Size ◽  
Vegetable Quality

Fruit Analysis using image processing is a technique used for finding the detection of fruits by a specific algorithm. This project is also used in finding the defected fruit in a group of fruits by the image processing technique. The objective of this work is to prevent health hazards by eating that defected fruit. This processing technique undergoes several stages for the classification and prediction of the defective fruit. This paper presents a detailed overview of various methods i.e., preprocessing, segmentation, feature extraction, a designation that addressed fruits and vegetable quality based on color, texture, size, shape, and defects. In this paper, a critical comparison of a different algorithm proposed by researchers for quality inspection of fruits has been carried out.

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