Designers of autonomous vehicles, robots and many other systems are faced with a critical challenge: Which 3D vision sensor technology to use? There are a wide variety of sensors on the market, employing modalities including passive stereo, active stereo, time […]
Following the deep learning renaissance, the face recognition community has achieved remarkable results when comparing images that are both frontal and non-occluded. However, significant challenges remain in the presence of variations in pose, expression, illumination and occlusions. This presentation will […]
AI is increasingly being deployed in vision applications, and most of these applications require other functionality in addition to AI. For example, a system may require AI plus high-performance I/O for lower system latency, AI plus encryption for security or […]
Many embedded vision applications require solutions that are robust in the face of very diverse real-world inputs. For example, in automotive applications, vision-based safety systems may encounter unusual configurations of road signs, or unfamiliar temporary barriers around construction sites. In […]
This first-of-its-kind, self-service platform makes it possible for software and hardware developers – even those who aren’t skilled in artificial intelligence – to deploy hyper-efficient, state-of-the-art deep learning models onto edge devices. It’s so simple that any developer can deploy […]
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