Essays about: "thesis of related with image processing"

Showing result 1 - 5 of 23 essays containing the words thesis of related with image processing.

  1. 1. Analyzing the Influence of Synthetic andAugmented Data on Segmentation Model

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Alex Peschel; [2023]
    Keywords : Artificial Intelligence; Microorganisms; Segmentation; Synthesizing; Augmentation;

    Abstract : The field of Artificial Intelligence (AI) has experienced unprecedented growth in recent years, thanks to the numerous applications related to speech recognition, natural language processing, and computer vision. However, one of the challenges facing AI is the requirement for large amounts of energy, time, and data to be effective and accurate. READ MORE

  2. 2. Modeling, Simulation, and Injection of Camera Images/Video to Automotive Embedded ECU : Image Injection Solution for Hardware-in-the-Loop Testing

    University essay from Uppsala universitet/Signaler och system

    Author : Anton Lind; [2023]
    Keywords : ADAS; AD; ADS; HIL; Hardware in the loop; Hardware-in-the-loop; ECU; VCU; Automotive; Embedded; System; Systems; Camera; Image; Video; Injection; FPGA; MPSoC; Vivado; Vitis; VHDL; Volvo; Cars; FMC; HPC; LPC; MIPI CSI2; GMSL2; AMBA AXI4; Xilinx; RTL; Implementation; Synthesis; Intelectual Property; IP; Vehicle computing unit; Electronic control unit; TEB0911; TEF0007; TEF0010; CSI2 Tx; CSI2 Tx Subsystem; Zynq; SerDes; AXI4; AXI4-Lite; Programmable Logic; PL; Processor System; PS; C; C ; Video test pattern generator; VTPG; Axi traffic generator; ATG; Ultrascale ; Virtual input output; VIO; Integrated logic analyzer; ILA; Interface Unit;

    Abstract : Testing, verification and validation of sensors, components and systems is vital in the early-stage development of new cars with computer-in-the-car architecture. This can be done with the help of the existing technique, hardware-in-the-loop (HIL) testing which, in the close loop testing case, consists of four main parts: Real-Time Simulation Platform, Sensor Simulation PC, Interface Unit (IU), and unit under test which is, for instance, a Vehicle Computing Unit (VCU). READ MORE

  3. 3. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

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

    Author : Cina Arjmand; [2023]
    Keywords : Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

    Abstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE

  4. 4. Counterfeit product grouping - a cluster ensemble approach

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Jency Raj; Ramu Satheesh; [2023]
    Keywords : Machine Learning; Deeplearning; Image analysis; Data science;

    Abstract : he need for the development and use of efficient and reliable Anticounterfeit techniques in the manufacturing industry and online trading has recently increased tremendously. Flooding counterfeit products in the international market have several adverse social and economic impacts globally. READ MORE

  5. 5. Multi-modal Models for Product Similarity : Comparative evaluation of unimodal and multi-modal architectures for product similarity prediction and product retrieval

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

    Author : Christos Frantzolas; [2023]
    Keywords : Computer Vision; Natural Language Processing; Representation Learning; Metric Learning; Multimodal Retrieval; Bildigenkänning; Språkteknologi; Representationsinlärning; Metrisk inlärning; Multimodal informationssökning;

    Abstract : With the rapid growth of e-commerce, enabling effective product recommendation systems and improving product search for shoppers plays a crucial role in driving customer satisfaction. Traditional product retrieval approaches have mainly relied on unimodal models focusing on text data. READ MORE