Nighttime detection and harvesting are key issues for achieving all-day operation of tomato-picking robots. Currently, most general detection algorithms are limited to natural daylight conditions, with significantly r...
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The proceedings contain 12 papers. The topics discussed include: real-time detection of maize crop disease via a deeplearning-based smartphone app;parallel artificial neural networks using wavelet-based features for ...
ISBN:
(纸本)9781510635791
The proceedings contain 12 papers. The topics discussed include: real-time detection of maize crop disease via a deeplearning-based smartphone app;parallel artificial neural networks using wavelet-based features for classification of remote-sensing hyperspectral images;no-reference image quality assessment based on residual neural networks (ResNets);coverless image steganography framework using distance local binary pattern and convolutional neural network;the combined denoising of images on the optical and thermal range onboard the UAV;portable flow device using Fourier ptychography microscopy and deeplearning for detection of biosignatures;parallel color image watermarking scheme for multiple picture object based on multithreading coding;and performance analysis of semantic segmentation algorithms trained with JPEG compressed datasets.
The latest spinoffs in the field of Autonomous Vehicles have paved way for a revolution in mobility and transportation;particularly in the warehousing and distribution sector. AMRs, Autonomous Mobile Robots, are being...
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ISBN:
(数字)9781905824694
ISBN:
(纸本)9781905824694
The latest spinoffs in the field of Autonomous Vehicles have paved way for a revolution in mobility and transportation;particularly in the warehousing and distribution sector. AMRs, Autonomous Mobile Robots, are being deployed to assist in warehousing activities as they present multiple advantages. In this paper, an AMR coupled with imageprocessing and deeplearning is introduced as a novel approach to solve a two-fold problem: surveillance and disinfection. deeplearning will make use of real-time data collected by the AMR's camera as a smart surveillance method for abnormal event detection. YOLOv4 is used to train a custom dataset for object detection on five different classes. The latter obtained a 74.40% accuracy. The vehicle will also be used to diffuse disinfecting agents as a mean to sanitize the stores and stocks against Covid-19. Moreover, autonomous navigation of the AMR will be based on imageprocessing techniques for path track detection.
Character recognition methods are applied in many fields, greatly improving work efficiency in daily life[1], such as license plate retrieval, invoice printing recognition, lottery betting codes, tax reports, etc. Dig...
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ISBN:
(纸本)9781665416061
Character recognition methods are applied in many fields, greatly improving work efficiency in daily life[1], such as license plate retrieval, invoice printing recognition, lottery betting codes, tax reports, etc. Digital recognition has been widely used in the field of computer vision and image recognition, and deeplearning algorithms are currently popular image recognition algorithms. deeplearning has been widely studied and applied in target recognition and speech content recognition. With the rapid increase in production requirements and computer data processing speed, the application of character recognition in actual production and life is becoming more and more common[2]. It is also extremely important for automatic retrieval and real-time, fast and accurate character input. However, traditional pattern recognition and feature extraction algorithms cannot well meet the requirements of real-time and correctness in production. At the same time, due to the vigorous development of deeplearning, character recognition technology based on deeplearning has advantages that traditional recognition algorithms cannot match. This paper proposes a barcode recognition algorithm based on a deep neural network combined with a global optimization method. It uses a convolutional recurrent network to extract the characteristics of each character in the barcode and classify it. Compared with the traditional method, it has stronger adaptability and generalization. Chemical energy.
One of the most important occupations in India is agriculture. Out of all the crops, cotton is the best and is crucial to the agricultural economy of the country. In India, 40-50 million people work in the cotton trad...
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In today’s world, technology is changing our way of life and work at an alarming rate. This paper studies the performance of an improved deeplearning algorithm in imageprocessing tasks, introduces the implementatio...
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ISBN:
(数字)9798350372892
ISBN:
(纸本)9798350372908
In today’s world, technology is changing our way of life and work at an alarming rate. This paper studies the performance of an improved deeplearning algorithm in imageprocessing tasks, introduces the implementation principle of algorithm design, and puts forward an improved deeplearning algorithm. In the experimental method part, a group of experiments are designed to evaluate the image quality performance of the improved deeplearning algorithm, which is based on three key performance indicators: Peak Signal-to-Noise Ratio (PSNR), Interactive Response time (IRT) and Structural Similarity Index Measure (SSIM). The research conclusion shows that the peak signal-to-noise ratio (PSNR) of the improved image quality-preserving deeplearning algorithm is as high as 58 dB. The maximum IRT measurement of the improved algorithm is only 95 ms, which provides users with faster response speed and enables users to experience a smoother interactive experience in real-timeimageprocessing applications.
The key problems that influence plant health and crop yield quality are leaf disease and pests. To improve crop production many advanced technologies are deployed. One of the predominant technologies is the incorporat...
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Facial expression recognition has become a critical component in applications involving human-computer interaction, security systems, and behavioral analysis. This paper presents a novel approach to human face express...
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One of the most important aspects of the agricultural economy is the production of cotton, which is threatened by diseases that lower crop quality and yield. Conventional techniques for diagnosing diseases are frequen...
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