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Vision guided robotic systems have been a subject to many researches and industrial projects, as this solution provides companies with stable manufacturing process.
This papers deals with an advanced and effective approach for testing system, by utilizing the hardware-in-the-loop (HIL) with the vision based machine learning technique to make end to end automation in the feature diagnosis and validation of automotive instrument clusters. Recently, numerous HIL systems are in practice for simulating the vehicle networks in real time, by providing necessary signals...
Machine vision has been widely and efficiently used for various industrial applications. However, in marine applications, this technology is still facing big challenges due to the free-swimming nature and unpredictable behavior of the fish. This paper presents new models for length estimation of small-size free-swimming fish objects using low-cost machine vision system. These models include two camera...
Measurement of screw thread parameters is one of the most tedious procedure in conventional metrology practices since most parameters part of the screw thread nomenclature require exclusive equipment specific to each parameter. Conventional methods are contact-type and also time consuming. Vision aided metrology has been appreciated as one of the most powerful technique for non-contact measurement...
Time-of-flight (ToF) 3-D cameras like the Microsoft Kinect, are prevalent in computer vision and computer graphics. In such devices, the power of an integrated laser is amplitude modulated at megahertz frequencies and demodulated using a specialized imaging sensor to obtain subcentimeter range precision. To use a similar architecture and obtain micrometer range precision, this paper incorporates beat...
This paper describes the solution of the problem of detecting the area of a roadway in the image with the purpose of determining the lateral deviation of the vehicle as regard to the lane-line of the road, as well as proving the fact that the vehicle is on the road.
A vision based tracking algorithm was developed for active load damping on a 1/9th scale extending boom crane using the Microsoft Xbox 360 Kinect RGB-D camera. The damping performance was compared to the IMU approach based on the Microstrain Inertia Link sensor. With the IMU solution, the radial damping ratio was improved by a factor of 2.2 and an order of magnitude in the tangential direction. The...
In this paper, we propose a robust method of vibration feature extraction using pixel-level digital filters in a high-frame-rate (HFR) video contaminated with motion blurs from a vibration source. This is completely different from conventional appearance-based object tracking methods that require spatial images with high-quality resolution. Our method allows a certain amount of motion blur to acquire...
This paper proposes a new localization method using monocular camera. A camera is hanging on the ceiling toward the ground. Its optical axis is perpendicular to the ground as possible. Its intrinsic parameters are calibrated in advance offline. Its extrinsic parameters refer to the chessboard reference are calibrated online. Then a method is proposed to estimate the 3D positions and orientations of...
This paper focuses on the mechatronic design and control issues of a novel robotic shark with an embedded vision system. To pursue a better swimming performance, an updated robotic shark with more degrees of freedom (DOFs) is constructed. Specially, an optimized propulsive mechanism with three links is designed to fit a typical shark-like swimming and a pair of pectoral fins with two separate DOFs...
High-speed recognition of the shape of a target object is indispensable for robot arms to perform various kinds of dexterous tasks in real time. In this paper, we propose a high-speed 3-D sensing system with active target-tracking. The system consists of a high-speed camera head and a high-speed projector, which are mounted on a two-axis active vision system. By measuring coded structured light projected...
Combined Vision System (CVS) that provides pilots a combination display with synthetic image and enhanced real vision requires critical image alignment. However, airborne navigation sensors are not accurate enough to support ideal alignment of synthetic and real image in CVS naturally. In this paper we investigate the effects of aircraft position and attitude errors on the projection accuracy of synthetic...
This article presents how stereoscopic vision is implemented in a humanoid robot with the purpose of selecting the most proper routine of movements to avoid obstacles encountered. The goals were to identify accurately the three-dimensional environment by using a depth map constructed with 2D images, acquired with a pair of cameras mounted on the robot, for their analysis using a Raspberry Pi 2 Model...
In this paper, we present a method of estimating the vanishing point from the railway environment images. Vanishing point plays a very important role in the machine vision based railway-environment surveillance methods, e.g. estimating the pose of the camera, video segmentation and panorama. In the application of railway-environment surveillance, we most care about the vanishing point corresponding...
To solve the problem of workpiece target accurate positioning in industrial environment, we proposed a method that used object's surface point cloud which created by stereo matching of binocular vision. Firstly, found out the ROI(Region Of Interest) of the stereo matching point cloud by template matching, and used an algorithm of noise reduction to gain a clean ROI point cloud. And then, extracted...
The subject of this paper is a particularly challenging machine vision (MV) based sorting application where the ‘part’ is an Indian coin. The application is challenging in part because of the lack of distinctive features to differentiate between denominations as well as the variability in the features for a given denomination. Although there are coin recognition algorithms documented in the literature,...
Structural parameter is an important factor which limits the improvement of precision in the three-dimensional measuring system of line-structured light. In order to improve the precision, we have developed an improved approach for choosing optimal structural parameters. A unified mathematical model with advantages of ease of use and compatibility is established. On this basis, errors of three-dimensional...
Sorting is one of the important tasks in production line and it has an appreciable effect to the homogeneous of products. Using vision system to increase productivity in automatic sorting system interests a large of researchers. In this paper, we recommend a vision sorting system based on computer that can identify the position and properties of fruits. The sorting system uses the high resolution...
With the rapid development of wood manufacturing industry, it's call for higher demand for detection of slab's three-dimensional size. The research and innovation of high speed testing theory of machine vision provides an opportunity for the development of wood industry. Machine vision calculates the parameters of acquired images through understanding and judgment, which has been applied to industrial...
In this paper we described the development of both the hardware and the algorithms for a novel laser vision system suitable for measuring distances from both solid and mesh-like targets in underwater environments. The system was developed as a part of the AQUABOT project that developed an underwater robotic system for autonomous inspection of offshore aquaculture installation. The system takes into...
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