Telemedicine solutions for prioritising X-Rays to be processed by Radiologists Client requested an X-Ray detection system to replace Radiologists Cost of such system was prohibitive and accuracy was a concern due to non-availability of training data Analysing the socio-economic and environmental factors, an X-Ray prioritisation system was recommended in place of a complete replacement of…
Client engaged Whirldata to explore innovative and cost effective options for technology spend Client had a mandate to reduce human involvement in a garbage sorting line. Attempted expensive solutions through Computer Vision and Hyoerspectral imaging before coming to us Deep learning neural networks were investigated and a cost effective solution was formulated after identifying appropriate…
November 8th. A date not many would remember but 123 years back on this day, Wilhelm Conrad Roentgen made a remarkable discovery. He discovered a process by which one could cast shadows of solid objects on pieces of film by passing rays through it. He called it X-Ray because in mathematics “X” is used to…
We thank Madhusudhan B A, Ara Ramalingam and Muthupandian Thangarajan for their guidance and support towards making this paper a reality Abstract We implemented the SegNet neural network architecture to detect strays of transparent and colored plastic on a conveyor belt containing paper from recycled garbage at a recycling / sorting facility in California and…
1.Introduction An understanding of image representation is a crucial component of any image understanding system. In particular interest here is the ability to understand image representations and significance in the various layers of a deep Convolutional Neural Network (CNN). CNNs have become the preferred to alternate to solve visual recognition / identifications problems that cannot…