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Qualitative & quantitative performance evaluation of traditional image processing and CNN based automatic methods on Pool Boiling IR images of MIT’s Nuclear Reactor Lab by measuring important boiling heat transfer parameters statistically. Work performed in 2019 as part of BSc. Thesis.
Eyena is an IoT based smart mirror that measures your body temperature upon detecting your presence without any physical contact. Looking like an everyday mirror, it blends with your furniture.
Front-end application which downloads thermal images from DropBox and carries out multiple image processing and manipulation techniques to produce an output for the user
The alignment of feature distributions between visible and thermal domains is crucial for achieving effective object detection. Our proposed adaptive detector, integrated into the faster R-CNN architecture, tackles the domain shift problem and enhances overall performance. Experimental evaluations are demonstrated on the KAIST and FLIR ADAS dataset
The GridEYE from Panasonic is a 8 by 8 thermopile array. This means you have an array of 64 pixels each capable of detecting temperature remotely. It’s like having thermal camera (or Predator’s vision) just in really low resolution.