May 2022

 In media, Newsletters

Top Engineering Considerations to Build and Scale Edge AI and Autonomous Machines

Top Engineering Considerations to Build and Scale Edge AI and Autonomous Machines

The global autonomous machines and robotics market is projected to reach a whopping $170 billion by 2027. Join our upcoming webinar to discover the key practical challenges in designing autonomous machines and how to resolve them.
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Autonomous Mobile Robot’s (AMR’s) Application in Warehouses

Autonomous Mobile Robot’s (AMR’s) Application in Warehouses

With the increasing adoption of Industry 4.0 practices in businesses, automation has become a new normal for many applications like robotics arm, sorting and picking material handling, etc. Learn how eInfochips is working on AMR design and development for many of our customers by utilizing advanced platforms like Nvidia, Jetson, Nano, Xavier, Qualcomm QBR5165, and many more…
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Service Robots - Trends, Industry Use Cases & their Role in fighting COVID19

Service Robots - Trends, Industry Use Cases & their Role in fighting COVID19

Did you know that Walmart, America’s biggest retailer is using robots to clean its floors? Over the last few years, robots have been transformed from just performing tasks to doing a lot more intelligently by leveraging the power of AI/machine learning.
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Case Study

AI Vision Based Social Distancing Detection

AI Vision Based Social Distancing Detection

No doubt social distancing has been a proven measure in preventing the spread of infectious diseases such as COVID-19 but it has been the most difficult to track and enforce. To solve the problem, eInfochips has developed a social distancing detection algorithm powered by NVIDIA® Jetson™ AGX Xavier. Download the case study to learn more!0
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On-Demand Webinar

Engineering Services for Model Training of Autonomous Mobile Robots on NVIDIA Jetson

Engineering Services for Model Training of Autonomous Mobile Robots on NVIDIA Jetson

Get an overview of the key elements of engineering workflow required to sense, capture, and train AI models for autonomous mobile robot applications. Learn the challenges in optimizing these models for GPU acceleration, and how NVIDIA’s software stack can be leveraged to accelerate performance on NVIDIA’s Jetson Edge compute systems.
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