Soliton provides automated image analysis solutions using the field of Computer Vision and its various sub-domains such as object detection, recognition etc. We use Machine Learning techniques to develop our Computer Vision solutions. Our Computer Vision work also includes using traditional techniques such as SVMs and Discrete Parts based Modelling along with the latest Deep Learning approaches.
Applications built on Computer Vision or Machine Learning systems must be extremely accurate. While prudent usage of Machine/Deep Learning systems help you attain high classification accuracies, giving a human level perception capability to the system raises the usability of the system by a few more notches. Our solutions achieve that by the meticulous fusion of contextual information with Deep Learning. We use Graph Algorithms and Probabilistic Graphical models.
Solutions that address a variety of vision problems such as Object Detection / Recognition, Object Segmentation, Scene Understanding, Image Captioning etc.
Visualization of classified handwritten characters using deep neural networks. Our handwritten character recognition framework classifies characters with high accuracies. This, despite the challenges such as inherent variations in people’s handwritings and the unpredictability of string lengths.
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