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The effects of marine and instream energy devices on fish populations are not well-understood, and studying the behavior of fish around these devices is challenging. To address this problem, we have evaluated algorithms to automatically detect fish in underwater video and propose a semi-automated method for ocean and river energy device ecological monitoring. The key contributions of this work are...
Automated inspection of apples requires that the entire surface of the fruit passes through the view of at least one camera. This work uses Monte Carlo simulation to investigate the extent of coverage of the apple surface when viewed by three four and five cameras arranged in a plane. Each camera has a circular inspection area that is 45 to 50% of the apple size. The number of images per apple rotation...
To improve the accuracy of camera calibration, a novel method is proposed based on the calibration principle of Zhang's calibration method. Firstly, improve the accuracy of pixel point to the subpixel. Then, the cameras of binocular visual measurement system are calibrated by Zhang's calibration method preliminarily. Finally, in consideration of the lens radial distortion, the parameters are optimized...
Diminished reality (DR) enables us to see through real objects occluding some areas in our field of view. This interactive display has various applications, such as see-through vision to visualize invisible areas, work area visualization in surgery and landscape simulation. In this paper, we propose two underlying problems in see-through vision, in which hidden areas are observed in real time. First,...
The paper introduces the research of tube-type bottle defects detection algorithm based on machine vision system, and the implementation method of detection system using machine vision and digital image processing technology. Industrial camera is used to collect the image of tube-type bottle, then the image is processed and analyzed by image processing technology. On this basis, by comparing with...
The speed characteristic of moving contact is vital to the high voltage circuit breakers. But due to the contacts of high voltage circuit breaker are completely isolated by arc chamber, the common measurement methods have some disadvantages. In this paper, a new method for measuring the speed characteristics based on machine vision algorithm is developed. This noninvasive method just needs to draw...
With the growing number of automobiles, it brings both the problem of difficult parking and the increasing traffic accidents in parking process. As one of the important issue in the parking assist system, the detection method of nearest point from the obstacle to automobile body is studied. On the basis of analyzing and comparing several methods of automobile distance detection, a nearest point detection...
The method of adaptive control of the parameters of the onboard vision system of an autonomous mobile robot operating on an unknown stage is considered. The parameters of the camera orientation and the focal length of the lens of the vision system are subject to control. The control is carried out in the normal mode of operation of the vision system of the autonomous mobile robot by comparing the...
Machine vision makes robots more intelligent, but most Cartesian robots rely on manual programming to perform operations. This paper presents a new nine points calibration method for Cartesian robot based on machine vision, and realizes the automatic assembly of Cartesian robot. Firstly, affine transformation model of Cartesian robot was established. The homogeneous matrices of four affine transformations...
It is one of the common tasks of machine vision defect detection to judge whether the resistance of PCB board is correct or not. The traditional detection method is to use the color industrial camera to take pictures, then transform the image from the RGB color model to the HSI / HSV color model, according to different colors in the new color space have different characteristics to split it out. However,...
In this work, we propose a new multi-color recognition method based on color constancy model, and present a realtime machine vision-based auto-sorting system corresponding to academic and industrial needs. The proposed color constancy computation method is computed by neighborhood contrast, and furthermore the relationship between the object color and the color constancy parameters is established...
In this paper, a vision based measurement system for shaft parts is presented. The hardware of the proposed system consists of image acquisition system, lighting system, industrial control computer and measuring work frame. The key of the whole software system is the image processing algorithm, and its performance directly affects the accuracy and robustness of the measurement system. Firstly, the...
For safety and reliability of self-driving cars, their control system must use the relative velocity of vehicles. The relative velocity can be estimated by differentiating the measured distance between cars with respect to time. However, inevitable measurement noise in the distance measurements will be amplified by the derivative operation. In this paper, we provide, as an alternative, a time-to-contact...
Machine vision systems are used in industrial production areas to produce products with fast, perfect and high precision. These systems allow users to make highly accurate and non-contact measurements and can detect deficiencies in the production process. In this work, a machine vision based non-contact defect detection algorithm for printed circuit boards (PCBs) has been developed. In this approach,...
This paper proposes a robotic grasping system for automatically sorting garbage based on machine vision. This system achieves the identification and positioning of target objects in complex background before using manipulator to automatically grab the sorting objects. The object identification in complex background is the key problem that machine vision algorithm is trying to solve. This paper uses...
Coin recognition is one of the prime important activities for modern banking and currency processing systems in which machine vision is widely used. The technique at the heart of such systems is object recognition in a digital image. Although it has high recognition speed, the traditional method of coin recognition can not recognize the coins with similar sizes. This paper presents a method based...
This study proposes a concept for multithread active vision sensing that can measure dynamically changing displacement and vibration at multiple points on civil engineering structures. In multithread active vision sensing, a high-speed camera can function virtually as multiple tracking cameras by accelerating its measurement, computation, and actuation with ultrafast viewpoint switching at millisecond...
A procedure to calibrate the relative position and orientation (extrinsic parameters) between a Time of Flight (ToF) camera and an RGB camera is presented. The proposed approach is particularly suited for ToF cameras characterized by very low resolution and a limited field of view. The presented experimental set-up is conceived to facilitate feature detection using both the ToF and RGB cameras. Three...
Over the last years, nanosatellites based on the CubeSat standard have been increasingly exploited by both academic institutions and commercial companies. The low cost and short development time of CubeSats make such miniature spacecraft interesting for a variety of applications. A particularly appealing future field of application for nanosatellites is On-Orbit Servicing of existing orbital assets...
This research paper primarily focus on to develop a conceptual design of the vision system for an intelligent next generation robotic milking system for faster and accurate teat detection. In our ongoing research in laboratory environment we have been developing the intelligent vision system incorporating the technique of ToF camera imaging, RGBD imaging and thermal imaging. The teat detection system...
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