Industrial Applications of Image Processing

Ciora, Radu Adrian; Simion, Carmen

doi:10.2478/aucts-2014-0004

Cited by 19 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…designing more complex image processing and pattern recognition tasks [6]. It is the integration of image processing with robotics, referred to as Robot Vision, which has led to the evolution of perceptive robots.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Palletizing and Shape Drawing Using Image Processing on Parallel and Serial Link Manipulators

Kariuki,

Wanjau,

Muchiri

et al. 2023

Preprint

View full text Add to dashboard Cite

The integration of robotics and image processing has led to the realization of robot autonomy in dynamic environments through the provision of visual feedback. This paper presents the application of parallel and open-link robots in palletizing and shape drawing tasks as enhanced by visual feedback from image processing. In determining the set of joint angles that could be used to reach the desired position and orientation of the end effector, the geometric approach in which the spatial geometry of the robotic arms was decomposed into several plane geometry problems was employed. Image processing techniques were used to enhance the performance of the robotic manipulators. In one approach, Color-based segmentation was used to distinguish between different objects in the workspace by using predefined color markers as references in the L*a*b color space. Classification of each pixel in the workspace image was then done by calculating the Euclidean distance between that pixel and a predefined color marker. A second approach employed Edge detection to identify the boundaries of objects within the workspace image by employing the Hough Transform mathematical model to detect the abrupt changes in the image brightness pixel-wise. The pixel locations from Hough were then sorted sequentially to outline the detected object. The integration of image processing with the robotic tasks was expected to improve the precise detection of the position of objects as well as the outline of geometric shapes. The incorporation of visual feedback allowed for dynamic robot manipulation in which prior knowledge of the workspace was not requisite. This led to improved pick and place as well as shape detection as applied in palletizing and shape drawing tasks actuated by the parallel and serial link manipulators, respectively.

show abstract

Section: Introductionmentioning

confidence: 99%

Enhancing Palletizing and Shape Drawing Using Image Processing on Parallel and Serial Link Manipulators

Kariuki,

Wanjau,

Muchiri

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Having the best smartphone for various needs is important but still depends on the software or application that is owned according to work requirements. Various mobile applications that can help human work [1], [2] and the very trend right now [3] growing so fast and constantly updated and tends to connect hardware into applications such as cameras, sensors, com-passes, Bluetooth, Wi-Fi to meet user needs [4]. The integration of Mobile device is an innovative process to increase labor mobility and flexibility on the workforce [5] and and caused desktop computing to be replaced by the emerging mobile computing technology [6].…”

Section: Introductionmentioning

confidence: 99%

“…Mobile application innovation is now moving towards the digitalization of processes that aim to create quality [7] and the most interesting thing is image processing technology mobil based [8] to detect product quality through image objects [1], [8] besides also used for visual identification and video analysis [2], [9] and used as solutions to help people with color blindness [10]. Various cloud-based mobile computing applications have been developed and presented to users such as, cellular learning, cellular health services, mobile games or industrial needs [5] The need for mobile technology with the ability to image segmentation in the freshwater fish industry is used to identify the quality and type of freshwater fish [11].…”

Section: Introductionmentioning

confidence: 99%

Smartphone Technology Applications for Milkfish Image Segmentation Using OpenCV Library

Qashlim

Basri

Haeruddin

et al. 2020

Int. J. Interact. Mob. Technol.

View full text Add to dashboard Cite

This research presents the use of smartphone technology to assist fisheries work. Specifically, we designed an Android application that utilizes a camera connected to the internet to detect RGB image objects and then convert them to HSV and gray scale. In this paper, Android-based smartphone technology using image processing methods will be discussed, a digital tool that provides fish detection results in the form of length, width, and weight used to determine the price of fish. This application was created using features provided by the OpenCV library to produce binary images. Three main challenges highlighted during application design including C ++ QT were used to build the user interface, the contour-active method was used to divide and separate image objects from the back-ground, while the clever edge edge method was used to improve the outline ap-pearance of objects. Both methods are implemented on the Android platform and utilize smartphone cameras as an identification tool. This application makes it possible to provide many benefits and great benefits for farm farmers but on the other hand will create technological gaps

show abstract

Data Collection Inside Industrial Facilities with Autonomous Drones

Günal

2019

Springer Series in Advanced Manufacturing

View full text Add to dashboard Cite

Industrial Applications of Image Processing

Cited by 19 publications

References 11 publications

Enhancing Palletizing and Shape Drawing Using Image Processing on Parallel and Serial Link Manipulators

Enhancing Palletizing and Shape Drawing Using Image Processing on Parallel and Serial Link Manipulators

Smartphone Technology Applications for Milkfish Image Segmentation Using OpenCV Library

Data Collection Inside Industrial Facilities with Autonomous Drones

Contact Info

Product

Resources

About