neural network based vision system
A Vision based Hand Gesture Recognition System using Convolutional Neural Networks
... 2) New Training : This feature allows the user to retrain the Neural Network model. Any user can change the model architecture or add/remove new gestures. This app has inbuilt options to allow the user to ...
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Design And Development Of Convolutional Neural Network (CNN) Enabled Smart Camera Based User Entrance Intention Detection System
... detection system based smart camera integrating with automatic door control system since access doors are commonly equipped with CCTV to record the access to the guarded ...computer vision for ...
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Embedded neural network design on the ZYBO FPGA for vision based object localization
... compact network we trained convey enough information in order to extract the pixel coordinates of the ...a neural network trained to classify the existence or not of a single object and loosely ...
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Date Fruits Classification using MLP and RBF Neural Networks
... sorting system using artificial neural networks ...classification system are based on attributes extracted from dates fruits obtained from a computer vision system (CVS) ...of ...
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Smart Attendance system using Facial Recognition
... Siamese Neural Network that finds how similar two comparable things are ...Siamese network come in one shot ...compter vision libraray came up with a method called Local Binary Pat- terns ...
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The Application of Vision Principle in 3D Reconstruction
... artificial neural network [11] is extremely similar to the camera implicit calibration process, which both get unknown data needed based on the system model established from the known ...
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Quality Inspection and Grading of Agricultural and Food Products by Computer Vision a Review
... a neural network method ...the system followed the actual ones with a correlation coefficient of ...machine vision-neural network based technique proved superior to the ...
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Computer vision-based limestone rock-type classification using probabilistic neural network
... computer vision-based rock-type classi- fi cation is limited; however, some distinguished results have been reported by researchers (Murtagh and Starck, 2008; Mukherjee et ...Computer ...
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Image Description Using Deep Neural Network
... computer vision and machine learning has demonstrated some great abilities at detecting and recognizing objects in natural ...develop system that can generate natural language descriptions from ...Such ...
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gvnn: neural network library for geometric computer vision
... end-to-end system for Visual Odometry with deep ...same network and optimisation ...the network for an end-to-end RNN based visual odometry ...
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Research of Planetary Gear Fault Diagnosis Based on Permutation Entropy of CEEMDAN and ANFIS
... groups are used as training samples, and the left 20 groups are used as testing samples. Using CEEMDAN decomposition algorithm to get the IMF components, and permutation entropy is calculated to get feature vectors ...
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Artificial Neural Network Based Weather Pridiction System
... The RMSE values obtained for the year 2016 are indirectly the predicted values of the daily temperature. Since the values are present in the hidden neurons, the x axis represents the number of hidden neurons holding ...
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Fire Hazard Location Algorithm for Large Place Based on Wireless Sensor Network
... monitoring system are isolated in large place, and it results in failure to remain aware of current overall fire ...sensor network based algorithm is proposed in this paper to detect and localize the ...
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MULTI LEVEL GROUP KEY MANAGEMENT TECHNIQUE FOR MULTICAST SECURITY IN MANET
... type neural network, Due to the increase of the layer of coupling in feedback, which makes its input and output can express the delay , the network has a memory function , This combination structure ...
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Blockchain based Smart P2P Lending using Neural Networks
... Over the past decade, there has been an exponential growth in the number and scale of online lending and crowdfunding platforms. However, these platforms lack a reliable and transparent metric to predict the ...
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Modified Neural Network Architecture based Expert System for Automated Disease Classification and Detection using PCA Algorithm
... accurate system that automatically monitors the human behaviour and detects diseases in human ...diseases. Based on the mathematical models developed for the nanowire and nanowire based sensor array ...
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Neural Network Web-Based Human Resource Management System Model (NNWBHRMSM)
... knowledge based application for matching applicants to job could not be used for long because, apart from being a Microsoft Disk Operating System (MSDOS) based program, it was a single user ...
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Prediction of Tourist Quantity Based on RBF Neural Network
... Artificial neural network (ANN) modeling method is an effective analysis method for forecasting, which can well reveal the correlation of nonlinear time series in delay state ...in neural ...
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Innovative machine vision technique for 2D/3D complex and irregular surfaces modelling
... computing system where structures consist of approximately 10 billion basic units called ’the neurons’ and trillions of ...brain, neural networks emulate the brain’s biological network and their use ...
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Vision Based Environment Mapping By Network Connected Multi Robotic System
... the vision sensor were ...cameras based robot localisation system was used. This system comprises of two ceiling mounted cameras and a server ...this system is responsible to determine ...
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