Category: Mobile


In previous blog posts, we have demonstrated using neural networks to do things such as object recognition and digit recognition. In this post, we will demonstrate a more practical example of vision, AI and machine learning running on PowerVR GPUs. This demo is showing how we can utilise the processing power of hardware such as the GPU to take input … Continued

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Imagination is known for its chip IP for mobile devices such as smartphones and tablets and has has a strong reputation as a market leader with regards to performance, power and area. Complementing this, Imagination also has IP related to ray tracing, a technique considered to be the ‘holy grail’ for computer graphics enabling the development of ultra-realistic lighting in … Continued

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This week at the Embedded Vision Summit in California we are showcasing our latest Convolutional Neural Network (CNN) object recognition demo. Since launching the original demo at last year’s EVS, the demo has been expanded to include multiple network models and is now implemented using Imagination’s own graph compilation library – IMG DNN. What are CNNs? Before continuing, a quick … Continued

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In December last year, Imagination announced we were the first to submit an OpenVX 1.1 conformant implementation. In this blog post, we will show how our work has developed since then on one of the first implementations of the Khronos OpenVX 1.1 API as well as the new and very first implementation of the Convolutional Neural Network (CNN) extension that … Continued

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