Essays about: "videoövervakning"
Showing result 1 - 5 of 8 essays containing the word videoövervakning.
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1. Anomaly Detection with Machine Learning using CLIP in a Video Surveillance Context
University essay from Linköpings universitet/DatorseendeAbstract : This thesis explores the application of Contrastive Language-Image Pre-Training (CLIP), a vision-language model, in an automated video surveillance system for anomaly detection. The ability of CLIP to perform zero-shot learning, coupled with its robustness against minor image alterations due to its lack of reliance on pixel-level image analysis, makes it a suitable candidate for this application. READ MORE
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2. Anonymisation of Image Data Using Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : Collecting and storing data is easier and more common than ever before. A lot of this data is personal data, which is problematic to store and use both for ethical reasons and because of legislations. READ MORE
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3. Millimeter-Wave Radar data processing
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Based on the feasibility study [4], the goal of this master thesis is to compile custom firmware for the XM112 Pulsed Coherent Radar Module, which features a state of the art radar sensor integrated with a microcontroller unit (MCU). This allows the use of custom firmware to check the plausibility of real-time data processing on the radar signals and will lay some of the groundwork for further development of detection algorithms. READ MORE
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4. Imagining Future Technology of the Horse Industry and Equestrian Sports
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Equestrian sports are amongst the largest sports and leisure activities in Sweden. One of the major reasons for engaging with horses is the bond to the horse. Just recently technology has found its way into the horse industry which otherwise is a very traditional sport. READ MORE
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5. Machine Learning can Reduce False Alarms when Detecting Humans in Surveillance Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Video surveillance is becoming increasingly common, but with the increased number of cameras comes an increased demand for human operators to watch and issue alarms when needed. If these video feeds are left unsupervised they will be of little use in a moment of need and would only be used to find out what has happened long after it already happened. READ MORE