Over the past decade, deep neural networks have proven they can solve a wide range of visual perception problems. Semiconductor companies have invested billions of dollars in developing edge AI processors for deep learning. And thousands of companies have invested […]
Vision-based product developers have a vast array of processors to choose from. Unfortunately, each processor has its own unique tool chain. This makes it difficult for developers to evaluate processor options and target different processors for different product needs. Fortunately, […]
Extremely efficient edge AI requires more than efficient processors; it also requires tools capable of generating superefficient software. In this talk, we’ll explain and demonstrate how DEEPX’s DXNN SDK utilizes state-of-the-art optimization techniques to generate extremely efficient, accurate code for […]
For a growing range of applications, deploying AI in the real world means running various models at the edge. Fortunately, powerful edge processors are increasingly capable of handling demanding AI workloads. But performance alone is not sufficient. To meet the […]
Traditionally, image sensors have been optimized to produce images that look natural to humans. For images consumed by algorithms, what matters is capturing the most information. We can achieve this via higher resolution, but higher resolution means lower sensitivity. To […]
LiDAR technologies and markets are changing fast. Recent years have seen rapid innovation in many diverse types of LiDAR technologies. For example, LiDAR suppliers use a variety of different optical wavelengths, beam steering mechanisms and detector types. At the same […]
The evolution of embedded vision and imaging technologies is enabling the development of powerful applications that would not have been practical previously. The possibilities seem to be endless. Yet, developing embedded vision solutions is challenging. There are many hardware and […]
Advances in image sensor capabilities, such as improved imaging in low-light conditions, coupled with reduced footprint and lower power consumption, are enabling more and more systems to incorporate computer vision. In this presentation we’ll illuminate the key image sensor specifications […]
Always-sensing cameras are becoming a common AI-enabled feature of consumer devices, much like the always-listening Siri or Google assistants. They can enable a more natural and seamless user experience, such as automatically locking and unlocking the device based on whether […]
Computer vision systems for mobile autonomous machines experience a wide variety of real-world conditions and inputs that can be challenging to capture accurately in training datasets. Few autonomous systems experience more challenging conditions than those in orbit. In this talk, […]
