Paving the Path to the Possible

Deep Vision enables high performance compute to a new world of applications.

Paving the Path to the Possible

Smart Retail​

Winning in the age of the customer depends on the experiences they have throughout their purchase journey. Consumers will engage and, more importantly, purchase if you provide them with memorable experiences. Deep Vision powers check-out-free stores to online retailers by enabling real-time consumer insights that promotes a frictionless retail experience for the consumer. With a higher performance per watt than other solutions, Deep Vision has become the solution of choice for some of the largest retailers.

Smart Retail​

Smart Cities ​​

With cities becoming smarter, processing IoT data at the edge is imperative to quickly and efficiently report the events and data that matter. Obtaining real-time insights as they happen while minimizing latency and data costs help cities gain insights to help manage building and street security, traffic congestion, and more. Deep Vision effectively delivers insights safely and cost-effectively with minimal latency, and dramatically increases the intelligence of any city’s video infrastructure.​

Smart Cities

Industry 4.0 and Robotics​

Manufacturing automation relies on AI and computer vision to reliably and safely automate complex tasks. Low latency AI compute is critical as it ensures timely interaction with a machine to complete each phase of a task, while low power consumption is required to ensure the reliability and longevity of the equipment. Deep Vision offers the balance of compute, memory, and energy efficiency in a small form factor, making it the definitive choice for manufacturing automation applications.​

Industry 4.0 and Robotics​

Automotive

Artificial intelligence is at the forefront of the automotive industry and changing the way vehicles are now being made and driven. The growth of connected and autonomous vehicles has accelerated the demand for high-performance computing at the edge. Deep Vision enables the processing of complex AI models required to run real-time streaming data simultaneously to assess in-cabin activity like driver distraction, drowsiness, and drunkenness. Embedded in smart sensors and cameras, consumers’ safety and comfort are better managed.​

Automotive