Convolutional neural networks have made tremendous strides in object detection and recognition in recent years. However, extending the CNN approach to understanding of video or volumetric data poses tough challenges, including trade-offs between representation quality and computational complexity, which is […]
Deep learning-based computer vision models have gained traction in applications requiring object detection, thanks to their accuracy and flexibility. For deployment on low-power hardware, single-shot detection (SSD) models are attractive due to their speed when operating on inputs with small […]
While image classification was the breakthrough use case for deep learning-based computer vision, today it has a limited number of real-world applications. In contrast, object detection is finding numerous applications. In this talk we’ll review recent progress in the state-of-the-art […]
In the past year, numerous new processor architectures for machine learning have emerged. Many of these focus on edge applications, reflecting the growing demand for deploying machine learning outside of data centers. This intensive focus on processor architecture innovation comes […]
Bringing a vision system product to market can be costly and time-consuming. Teknique’s Oclea System-on-Module (SoM) is an off-the-shelf, integrated camera module that enables device makers to streamline the development process, reducing development risk, cost and time. Ian Billing, Quality […]
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