scholarly journals A Computer Vision-Based Real-Time Load Perception Method for Belt Conveyors

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Mengchao Zhang ◽  
Manshan Zhou ◽  
Hao Shi
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
Conveyor Belt ◽  
Conveyor System ◽  
Load Detection ◽  
Speed Regulation ◽  
Computer Vision Technology ◽  
Belt Conveyors ◽  
Energy Saving Control ◽  
Load Perception

Real-time load detection method for belt conveyors based on computer vision is the research topic of this paper. A belt conveyor system equipped with cameras and a laser generator is used as the test apparatus. As the basis for conveyor intelligent speed regulation, two methods from different angles to perceive the load of conveyor belt were proposed, applied, and compared in this paper. Method 1 is based on the area proportion and method 2 is the detection based on laser-based computer vision technology. Laboratory experiments show that both methods can well detect the load on the conveyor belt. Method 2 is more economical and practical under the background of existing technology, also compared to the method 1, which provides a new idea and theoretical basis for the energy-saving control and intelligent development of the conveyor.

scholarly journals Coal Flowability Control on Preventing Spillage on Conveyor Belt Through Modeling and Simulation for Improving its Performance

2021 ◽  
Vol 90 (1) ◽  
pp. 130-145
Author(s):  
Sabri Bahrun ◽  
Mohd Shahrizan Yusoff ◽  
Mohamad Sazali Said ◽  
Azmi Hassan
Keyword(s):  
Bulk Material ◽  
Extraction Process ◽  
Conveyor Belt ◽  
Underground Mines ◽  
Mining Site ◽  
Dem Simulation ◽  
Conveyor System ◽  
Average Production ◽  
And Performance ◽  
Belt Conveyors

Belt conveyors are generally used in mining plant areas, both surface and underground mines. The belt conveyor is mainly applied to transport the extracted bulk material from the mining site to delivery. The effectiveness of the extraction process depends on the reliability and durability of the conveyor belt system. In addition, conveyor performance is very important specially to control material flowability to prevent spills or other operational disturbances to optimize production throughput. However, the transfer chute and settling zone can cause some problems during the transfer process, such as material spills. This problem can reduce the function and performance of the conveyor belt. This paper discusses a design model to reduce the problem of spillage in the settling zone. The model was developed by compiling the previous defecting data from the durability of the conveyor system, then analyzed using Discrete Element Method (DEM) software and compared with bulk characteristics. The initial performance of certain conveyors is only capable of serving with an average production of 76% of the designed capacity while energy is consumed at full load. By applying the DEM simulation result, the blade gate can reduce the peak angle break in the depositional zone before exiting. After the analysis is completed using DEM, the conveyor increases the average production to 95% of the designed capacity. In conclusion, controlling the maximum belt load without spillage will reduce interruption on conveyor belt operation and maintenance costs therefore increase plant reliability and availability.

Computer vision technology for real-time food quality assurance during drying process

2014 ◽  
Vol 39 (1) ◽  
pp. 76-84 ◽  
Author(s):  
Mortaza Aghbashlo ◽  
Soleiman Hosseinpour ◽  
Mahdi Ghasemi-Varnamkhasti
Keyword(s):  
Computer Vision ◽  
Quality Assurance ◽  
Real Time ◽  
Food Quality ◽  
Drying Process ◽  
Computer Vision Technology

Parametric Finite Element Analysis on Key Parts of the Conveyor

2011 ◽  
Vol 101-102 ◽  
pp. 755-758 ◽  
Author(s):  
Chun Sheng Yang
Keyword(s):  
Mechanical Characteristics ◽  
Bulk Material ◽  
Viscoelastic Model ◽  
Conveyor Belt ◽  
Belt Conveyor ◽  
Element Analysis ◽  
Conveyor System ◽  
Belt Conveyors ◽  
Parametric Finite Element Analysis ◽  
Research Situation

Belt conveyors are the major equipments for bulk material transportation.This paper analyses the static and dynamic behaviours of the belt, and establishes the dynamic elastic modulus. By analyzing the characteristics of the Kelvin and Maxwell viscoelastic model, the former is selected as the conveyor belt model as it can more realistically reflect the mechanical characteristics of the conveyor system. This paper introduces the development of the belt conveyor, and analyzes the current research situation at home and abroad.

scholarly journals Real Time Tracking RGB Color Based Kinect

2017 ◽  
Vol 11 (3) ◽  
pp. 98
Author(s):  
Ahmed Mustafa Taha Alzbier ◽  
Hang Cheng
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
Video Processing ◽  
Background Subtraction ◽  
Moving Objects ◽  
Blue Color ◽  
The Real ◽  
Color Recognition ◽  
Kinect Camera ◽  
Computer Vision Technology

As the present computer vision technology is growing up, and the multiple RGB color object tracking is considered as one of the important tasks in computer vision and technique that can be used in many applications such as surveillance in a factory production line, event organization, flow control application, analysis and sort by colors and etc. In video processing applications, variants of the background subtraction method are broadly used for the detection of moving objects in video sequences. The background subtraction is the most popular and common approach for motion detection. However , this is paper presents our investigation the first objective of the whole algorithm chain is to find the RGB color within a video. The idea from the beginning was to look for certain specific features of the patches, which would allow distinguishing red, green and blue color objects in the image. In this paper an algorithm is proposed to track the real time moving RGB color objects using kinect camera. We will use a kinect camera to capture the real time video and making an image frame from this video and extracting red, green and blue color .Here image processing is done through MATLAB for color recognition process each color. Our method can tracking accurately at 95% in real-time.

scholarly journals A Computer Vision Based Conveyor Deviation Detection System

2020 ◽  
Vol 10 (7) ◽  
pp. 2402 ◽  
Author(s):  
Mengchao Zhang ◽  
Hao Shi ◽  
Yan Yu ◽  
Manshan Zhou
Keyword(s):  
Computer Vision ◽  
Detection System ◽  
Conveyor Belt ◽  
Efficient Operation ◽  
Conveyor System ◽  
Line Extraction ◽  
New Ideas ◽  
Labview Platform ◽  
Paper Method ◽  
Line Fitting

The monitoring of conveyor belt deviation based on computer vision is the research topic of this paper. A belt conveyor system equipped with cameras and a laser generator is used as the test apparatus. Two kinds of conveyor condition monitoring algorithms are developed, applied and compared in this paper. Method 1 is to extract the edges of the conveyor belt based on the methods of edge detection and line fitting, and an analysis method is proposed to quickly determine whether the conveyor belt is off course. This method simplifies the information processing process after edge line extraction and realizes the fast and effective state detection of the conveyor belt. A conveyor belt deviation detection system was built in Method 2 with the aid of laser technology and the Labview platform. The result of deviation detection was more accurate and reliable with the addition of the laser line. It is observed that both methods can perform well for belt deviation detection, especially Method 2 that resulted in higher reliability and accuracy with faster processing speed. It provides new ideas for ensuring the safe and efficient operation of the conveyor.

Measurement of Work Piece Surface Quality Based on Digital Image Processing

2011 ◽  
Vol 101-102 ◽  
pp. 689-692
Author(s):  
Cheng Yu Wu ◽  
Fei Qing Wu ◽  
Hui Mei Yang
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Real Time ◽  
Surface Quality ◽  
Digital Image Processing ◽  
Digital Image ◽  
Surface Flaw ◽  
Work Piece ◽  
Computer Vision Technology ◽  
Modern Image

This article discusses how to apply sensor mixture, modern image handle and computer vision technology to analyse and to deal with the feature messages of the ground work piece surface flaw, and computer how to apply the filtered feature messages to identify these flaws. Result shows that this system can find the defect work piece real time from the images for testing.

scholarly journals Rerouting of Middle Bench Conveyor System in Mine for Optimization of Length and Power Consumption

2021 ◽  
Vol 9 (8) ◽  
pp. 2589-2592
Author(s):  
Joel Josiah A
Keyword(s):  
Power Consumption ◽  
Carrying Capacity ◽  
Conveyor Belt ◽  
Conveyor System ◽  
Overburden Soil ◽  
Belt Conveyors ◽  
The Cost ◽  
System Power

Abstract: In Neyveli Lignite Corporation, belt conveyors are used for transporting coal and overburden soil from mines to storage yards and dump yards respectively. Conveyor belt with carrying capacity upto 20,000T/hour is used for transportation of materials. The power consumption of the conveyor system depends on the length of the conveyor. Power consumption is high for a long routed conveyor system and less for a short routed conveyor system. The conveyor system is rerouted to the shortest possible way for optimizing length and power consumption of the conveyor system. By this rerouting, the cost of power consumption will be reduced. Keywords: conveyor system, power consumption, rerouting, mine, length

Iterative Design of Sonification Techniques to Support People with Visual Impairments in Obstacle Avoidance

2021 ◽  
Vol 14 (4) ◽  
pp. 1-27
Author(s):  
Giorgio Presti ◽  
Dragan Ahmetovic ◽  
Mattia Ducci ◽  
Cristian Bernareggi ◽  
Luca A. Ludovico ◽  
...  
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
Obstacle Avoidance ◽  
Mobile App ◽  
Independent Mobility ◽  
Listening Tests ◽  
Recent Computer ◽  
Computer Vision Technology ◽  
White Cane ◽  
Real Time Information

Obstacle avoidance is a major challenge during independent mobility for blind or visually impaired (BVI) people. Typically, BVI people can only perceive obstacles at a short distance (about 1 m, in case they are using the white cane), and some obstacles are hard to detect (e.g . , those elevated from the ground), or should not be hit by the white cane (e.g . , a standing person). A solution to these problems can be found in recent computer-vision techniques that can run on mobile and wearable devices to detect obstacles at a distance. However, in addition to detecting obstacles, it is also necessary to convey information about them in real time. This contribution presents WatchOut , a sonification technique for conveying real-time information about the main properties of an obstacle to a BVI person, who can then use this additional feedback to safely navigate in the environment. WatchOut was designed with a user-centered approach, involving four iterations of online listening tests with BVI participants in order to define, improve and evaluate the sonification technique, eventually obtaining an almost perfect recognition accuracy. WatchOut was also implemented and tested as a module of a mobile app that detects obstacles using state-of-the-art computer vision technology. Results show that the system is considered usable and can guide the users to avoid more than 85% of the obstacles.

Sign in / Sign up

Export Citation Format

Share Document