Error analysis and improved calibration algorithm for LED chip localization system based on visual feedback

Wang, Ziyue; Shuili, Gong; Li, Delong; Lu, Huaiqing

doi:10.1007/s00170-017-0390-2

Cited by 16 publications

(3 citation statements)

References 16 publications

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“…The eye-movement multi-channel interaction method based on head-eye synergy takes the flexible and free eye-movement interaction as the main interaction means, uses the precise and stable head gaze as the direction confirmation input of the user's attention, and completes the two-dimensional interaction task in the flow field visualization through the parallel complementarity of the two channels, and then joins the gesture interaction to complete the three-dimensional interaction task, which constitutes the immersive three-channel interaction method [24]. Figure 2 shows the flowchart of the eye-movement multi-channel interaction method for head-eye collaborative interaction, and this section will introduce the interaction process in sequence according to the flowchart, and finally introduce the working principle of head-eye collaborative interaction.…”

Section: Eye Movement Multi-channel Interaction Based On Head-eye Syn...mentioning

confidence: 99%

Construction of Intelligent Practice System of Visual Arts Based on VR Technology in Information Age

2023

Applied Mathematics and Nonlinear Sciences

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Taking visual art intelligence as an entry point, this paper describes the transformation brought by the information age to the expression of visual art. Based on VR technology to build a practice system of visual art intelligence, VR positioning technology is used to locate the three-dimensional coordinates of the operator in order to realize the independent positioning of multiple operators in a large space and avoid positioning interference. Through the eye movement multi-channel interaction algorithm based on head-eye synergy, the two-dimensional interaction task in flow field visualization is completed, and then gesture interaction is added to complete the three-dimensional interaction task. The constructed system was implemented in the teaching of art majors at College Z, and the data were analyzed. The results show that the total average scores of innovative theoretical ideas, interactive experience feeling, symbolic integration of creative content and infinite extension of the multidimensional spatial field are 82.42, 83.57, 80.84 and 80.28, respectively. The data show that teachers, students and parents recognize the intelligent system of visual arts and believe that it improves students’ innovative ability in art creation, enhances the interactive experience feeling of visual arts, and provides data support for the continuous research and exploration of contemporary visual arts.

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Section: Eye Movement Multi-channel Interaction Based On Head-eye Syn...mentioning

confidence: 99%

Construction of Intelligent Practice System of Visual Arts Based on VR Technology in Information Age

2023

Applied Mathematics and Nonlinear Sciences

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“…Gao [3] proposed a novel algorithm to inspect ball grid array (BGA) component defects: first, a grayscale image of solder balls was extracted with an adaptive thresholding algorithm with modified ( , δ)-component segmentation; then, the ball array was generated with a line-based-clustering method; lastly, the precise position and orientation of BGA were estimated from the recognition results. The main cause of errors in chip detection was analyzed by applying a two-step calibration algorithm in Wang [4]. Zhong [5] proposed a three-step algorithm to exclude polycrystalline and fragmentary LED chips.…”

Section: Related Workmentioning

confidence: 99%

A Novel Electronic Chip Detection Method Using Deep Neural Networks

2022

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Electronic chip detection is widely used in electronic industries. However, most existing detection methods cannot handle chip images with multiple classes of chips or complex backgrounds, which are common in real applications. To address these problems, a novel chip detection method that combines attentional feature fusion (AFF) and cosine nonlocal attention (CNLA), is proposed, and it consists of three parts: a feature extraction module, a region proposal module, and a detection module. The feature extraction module combines an AFF-embedded CNLA module and a pyramid feature module to extract features from chip images. The detection module enhances feature maps with a region intermediate feature map by spatial attentional block, fuses multiple feature maps with a multiscale region of the fusion block of interest, and classifies and regresses objects in images with two branches of fully connected layers. Experimental results on a medium-scale dataset comprising 367 images show that our proposed method achieved mAP0.5=0.98745 and outperformed the benchmark method.

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“…We know, from the literature, that once the correlation coefficient has been normalized, it becomes more stable and suitable for rapid template comparison. Wang et al [19] presented the camera calibration algorithm of the LED chip visual positioning system to improve the chip positioning accuracy. Through error analysis of the visual positioning system, the system errors of each part of the system were obtained, and the relationship between the chip positioning error and the chip position distribution in the image was found.…”

Section: Introductionmentioning

confidence: 99%

Development of an adaptive template for fast detection of lithographic patterns of light-emitting diode chips

Weng

Tsai²,

Hung

et al. 2021

Int J Adv Manuf Technol

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With the expansion in light-emitting diode (LED) lighting market and technology, control of product quality has become the focus of LED development. To achieve high online production capacity, automated quality detection with object image has been employed for comparison using mostly the standard templates. However, the resulting poor fitting causes misjudgment of the detection system. This study proposes an adaptive template method to improve the system fitting, reduce the system misjudgment, and enhance the detection efficiency. The severely damaged LED chips were screened out based on their grayscale entropy indices and related coefficient indices, which enhanced the reliability of the adaptive template system and accelerated the overall system detection process. To overcome the displacement and scale changes of the lithographic patterns, the scale-invariant feature transform (SIFT) and Harris-Laplace methods were used for comparison. The scale-invariant feature transform (SIFT) and Harris-Laplace methods were used to search and compare the feature points of the chip patterns, with the aim to overcome the displacement and scale changes of the lithographic patterns and establish the adaptive template in real conditions. The fast correlation coefficient comparison method was compared with the adaptive template comparison method proposed in this study. The results showed that the detection accuracy of the new method was 98.36%, which is 15.79% more accurate than the fast correlation coefficient comparison method. In terms of time performance, the method proposed in this study took 0.08s less to complete the partition defect template. Moreover, the average detection time per chip was reduced by another 1.4s, which improved the efficiency by 30.43%. The adaptive template proposed in this study exclusively establish itself based on different lithographic patterns, thus improving the detection efficiency and accuracy of the LED industry, and raising its market competitiveness in the industry.

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Error analysis and improved calibration algorithm for LED chip localization system based on visual feedback

Cited by 16 publications

References 16 publications

Construction of Intelligent Practice System of Visual Arts Based on VR Technology in Information Age

Construction of Intelligent Practice System of Visual Arts Based on VR Technology in Information Age

A Novel Electronic Chip Detection Method Using Deep Neural Networks

Development of an adaptive template for fast detection of lithographic patterns of light-emitting diode chips

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