Sökning: "Amazon Rekognition"
Visar resultat 1 - 5 av 6 uppsatser innehållade orden Amazon Rekognition.
1. Machine Vision for Quality Inspection of Rear Axle Bridges
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : Dot peen markings are used by Scania Ferruform to maintain a traceability of their products throughout the manufacturing. Quality inspection of the markings are performed to ensure that they are added correctly and readable. This is, however, done manually by workers, which they are looking to change. LÄS MER
2. Track the number of people in a premises in real time
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Det har blivit allt vanligare att inomhusverksamheter vill kunna bevaka antalet personer som befinner sig i deras lokaler. Att manuellt räkna antalet personer eller att använda sig utav rörelsesensorer har olika nackdelar. LÄS MER
3. Video Recommendation through Machine Learning in Amazon Web Services.
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Machine learning is a field within Computer Science that is still growing. Finding innovative ways to utilise the potential of Machine learning is important for the future of many companies and service providers. LÄS MER
4. A comparison of image and object level annotation performance of image recognition cloud services and custom Convolutional Neural Network models
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknikSammanfattning : Recent advancements in machine learning has contributed to an explosive growth of the image recognition field. Simultaneously, multiple Information Technology (IT) service providers such as Google and Amazon have embraced cloud solutions and software as a service. LÄS MER
5. Användning av maskininlärning för att välja ut porträtt
Kandidat-uppsats, Lunds universitet/Högskoleingenjörsutbildning i datateknikSammanfattning : This bachelor thesis evaluates the use of Clustering and Regression to separate good images from a given set of images. Whether the images are good or not is decided by the customers of the company that this system is developed for. In this thesis these customers are represented by a number of test persons. LÄS MER