Essays about: "Real time object detection"
Showing result 16 - 20 of 137 essays containing the words Real time object detection.
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16. Federated Learning for edge computing : Real-Time Object Detection
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : In domains where data is sensitive or private, there is a great value in methods that can learn in a distributed manner without the data ever leaving the local devices. Federated Learning (FL) has recently emerged as a promising solution to collaborative machine learning challenges while maintaining data privacy. READ MORE
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17. Real-Time Soft Body Physics Engine for Enhanced ConvexPolygon Dynamics
University essay from Örebro universitet/Institutionen för naturvetenskap och teknikAbstract : This thesis covers the development process of implementation, and evaluation of a softbody physics engine for convex polygon objects. The main feature is implementation of adynamic polygon collider that represents a polygons shape correctly, while still being ableto collide with other objects in the simulation. READ MORE
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18. Real-time Human Detection using Convolutional Neural Networks with FMCW RADAR RGB data
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Machine learning has been employed in the automotive industry together with cameras to detect objects in surround sensing technology. You Only Look Once is a state-of-the-art object detection algorithm especially suitable for real-time applications due to its speed and relatively high accuracy compared to competing methods. READ MORE
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19. Real-time Counting Of People In Public Spaces
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Real-time people counting is a beneficial system that covers many levels of use cases. It can help keep track of the number of people entering buildings, buses, stores, and other facilities. READ MORE
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20. Automatic Calibration of Camera Parameters : A Steppingstone to Analysing Videos
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : The smartphone is commonly used for image and video capture. Due to the lightweight of the smartphone, small handshakes are noticeable in recorded videos. The image sensors in smartphones are typically CMOS, which introduces rolling shutter artefacts. Stabilisation is introduced to minimise the effects of the camera movement and artefacts. READ MORE