Essays about: "Dator vision"

Showing result 1 - 5 of 18 essays containing the words Dator vision.

1. 1. Analyzing the performance of active learning strategies on machine learning problems

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Vendela Werner; [2023]
   Keywords : computer science; bioinformatics; machine learning; active learning; artificial intelligence; supervised learning; Astrazeneca; maskininlärning; artificiell intelligens; datorvetenskap; active learning; bioinformatik; supervised learning;

   Abstract : Digitalisation within industries is rapidly advancing and data possibilities are growing daily. Machine learning models need a large amount of data that are well-annotated for good performance. To get well-annotated data, an expert is needed, which is expensive, and the annotation itself could be very time-consuming. READ MORE

3. 2. Assessing the Efficiency of COLMAP, DROID-SLAM, and NeRF-SLAM in 3D Road Scene Reconstruction

   University essay from Lunds universitet/Matematik LTH

   Author : Marcus Ascard; Farjam Movahedi; [2023]
   Keywords : 3D reconstruction; Visual SLAM; Pose evaluation; Point cloud evaluation; Road scenes; Technology and Engineering;

   Abstract : 3D reconstruction is a field in computer vision which has evolved rapidly as a result of the recent advancements in deep learning. As 3D reconstruction pipelines now can run in real-time, this has opened up new possibilities for teams developing Advanced Driver Assistance Systems (ADAS), which rely on the camera system of the vehicle to enhance the safety and driving experience. READ MORE

4. 3. Smart Scooter : Solving e-scooter safety problems with multi-modal, privacy-preserving sensor technology and machine learning

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

   Author : Beatrice Lovely; [2022]
   Keywords : Smart Devices; Machine Learning; Sensors; Radar; Inertial Measurement Unit; Computer Vision; Smarta Saker; Maskininlärning; Sensorer; Radar; Tröghetsmåttenhet; Dator- seende;

   Abstract : Micromobility ride-share scooters (e-scooters) have become a popular mode of transport in several major cities around the world, yet several safety and accessibility issues stem from how these scooters are operated, including sidewalk riding, unsafe parking and wrong-way riding. This thesis tackles these issues through a novel, privacy-preserving, end-to-end sensor system that employs lightweight machine learning models to provide real-time feedback to users to present unsafe scooter operation. READ MORE

5. 4. Application of TensorFlow lite on embedded devices : A hands-on practice of TensorFlow model conversion to TensorFlow Lite model and its deployment on Smartphone to compare model’s performance

   University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

   Author : Mitra Rashidi; [2022]
   Keywords : Machine learning; TensorFlow; TensorFlow lite; Smartphone; Maskininlärning; TensorFlow; TensorFlow lite; Smartphone;

   Abstract : Rapporten beskriver processutvecklingen av integration inom smart-enheter och gör jämförelse med de traditionella datormodeller som exempelvis TensorFlow. Maskininlärning är ett område som för närvarande observeras av många människor på grund av dess anmärkningsvärda önskan inom olika intelligenta områden som datorseende, naturlig språkbehandling, föreslagna datorsystem, etcetera. READ MORE

6. 5. Optimizing web camera based eye tracking system : An investigating of the effect of network pruning and image resolution

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

   Author : Olle Svensson; [2021]
   Keywords : Neural network; deep learning; eye tracking; pruning; computer vision; optimization; Neurala nätvärk; djup inlärning; blickspårning; beskärning; datorseende; optimering;

   Abstract : Deep learning has opened new doors to things that were only imaginable before. When it comes to eye tracking, the advances in deep learning have made it possible to predict gaze using the integrated camera that most mobile and desktop devices have nowadays. READ MORE