Essays about: "sign recognition"

Showing result 11 - 15 of 41 essays containing the words sign recognition.

1. 11. Implementation of a Deep Learning Inference Accelerator on the FPGA.

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Shenbagaraman Ramakrishnan; [2020]
   Keywords : Artificial Intelligence; Machine Learning; Deep Learning; Neural Networks; Deep Learning Accelerators; NVDLA; FPGA; Technology and Engineering;

   Abstract : Today, Artificial Intelligence is one of the most important technologies, ubiquitous in our daily lives. Deep Neural Networks (DNN's) have come up as state of art for various machine intelligence applications such as object detection, image classification, face recognition and performs myriad of activities with exceptional prediction accuracy. READ MORE

3. 12. Traffic Sign Recognition Using Machine Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Sharif Sharif; Joanna Lilja; [2020]
   Keywords : Traffic sign detection; Machine Learning; Image Recognition; Object Identification; Igenkänning av trafikskyltar; Maskininlärning; Bildigenkänning; Objektidentifikation;

   Abstract : Computer vision is an area in computer science that attempts to give computers the ability to see and recognise objects using varying sources of input, such as video or pictures. This problem is usually solved by using artificial intelligence (AI) techniques. The most common being deep learning. READ MORE

4. 13. Gauntlet-X1: Smart Glove System for American Sign Language translation using Hand Activity Recognition

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Asif Mohamed; Paul Sujeet; Vishnu Ullas; [2020]
   Keywords : ;

   Abstract : The most common forms of Human Computer Interaction (HCI) devices these dayslike the keyboard, mouse and touch interfaces, are limited to working on atwo-dimensional (2-D) surface, and thus do not provide complete freedom ofaccessibility using our hands. With the vast number of gestures a hand can perform,including the different combinations of motion of fingers, wrist and elbow, we canmake accessibility and interaction with the digital environment much more simplified,without restrictions to the physical surface. READ MORE

5. 14. Interpretation of Swedish Sign Language using Convolutional Neural Networks and Transfer Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Gustaf Halvardsson; Johanna Peterson; [2020]
   Keywords : Sign language interpretation; machine learning; convolutional neural networks; transfer learning; image recognition; Teckenspråkstolkning; maskininlärning; convolutional neural networks; transfer learning; bildigenkänning;

   Abstract : The automatic interpretation of signs of a sign language involves image recognition. An appropriate approach for this task is to use Deep Learning, and in particular, Convolutional Neural Networks. This method typically needs large amounts of data to be able to perform well. READ MORE

6. 15. A comparison of training algorithms when training a Convolutional Neural Network for classifying road signs

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Rasmus Bergendal; Andreas Rohlén; [2019]
   Keywords : ;

   Abstract : This thesis is a comparison between three dierent training algorithms when training a Convolutional Neural Network for classifying road signs. The algorithms that were compared were Gradient Descent, Adadelta, and Adam. READ MORE