Essays about: "thesis for image processing in security"
Showing result 1 - 5 of 15 essays containing the words thesis for image processing in security.
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1. A Novel Approach for Rice Plant Disease Detection, classification and localization using Deep Learning Techniques
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. This Thesis addresses the critical issue of disease management in ricecrops, a key factor in ensuring both food security and the livelihoods of farmers. Objectives. READ MORE
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2. Using Approximate Computing Circuits to Optimize Power of an ASIC
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The growing demand for network cameras to support real-time image processing and machine-learning applications has created a need for low-power solutions. Although technology scaling makes complex computations feasible, voltage scaling is limited, leading to higher power density and dark silicon problems. READ MORE
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3. Fog detection using an artificial neural network
University essay from Lunds universitet/Matematisk statistikAbstract : This project studies a method of image-based fog detection directly from a camera without using the transmissometer. Fog can be detected using transmissometers which could be a very costly approach. This thesis presents an image-based approach for fog detection using Artificial Neural networks. READ MORE
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4. Facial recognition techniques comparison for in-field applications : Database setup and environmental influence of the access control
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : A currently ongoing project at Stanley Security is to develop a facial recognition system as access control system to prevent theft of heavy vehicles for terrorist purposes. As of today, there are several providers of facial recognition techniques and the spectrum ranges from multi dollar licenses to easy access open source. READ MORE
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5. Implementation of a Deep Learning Inference Accelerator on the FPGA.
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : 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