Artificial intelligence (AI) is ushering in a new age of computing, enabling greater innovation, productivity, and cost savings. For time- and safety-critical edge applications, like medical imaging, and industrial-grade intelligent video analytics, edge AI solutions can better satisfy stringent response times than cloud AI.
OEMs, ODMs, and systems integrators can learn how to speed up their edge AI development by signing up for ADLINK’s on-demand sessions at NVIDIA GTC, taking place online April 12-16, 2021.
You will be able to reserve your free spot for ADLINK’s on-demand sessions by registering at NVIDIA GTC website, allowing you to sign up for and attend live on-demand sessions across all GTC regions.
Drawing on real-life industrial use cases for quality inspection and intelligent video analytics (IVA), this presentation will describe how to build solutions that are easy to run, scale, and drive action using ADLINK’s approach. In one example, we detect people who are loitering in company spaces using the Deep Stream pipeline that includes the PeopleNet model and sounds an alarm through general-purpose I/O (GPIO).
You will learn how to create solutions to drive actions and outcomes, using ADLINK’s range of hardware solutions combined with NVIDIA’s software development kits (SDKs), including Deep Stream, Transfer Learning Toolkit, and Tensor RT. Application speed, scalability, and simple user experience are fundamental benefits by design.The session will also address how connecting the results generated by Deep Stream pipelines to other devices is important as developers build solutions to drive outcomes.
Should you have any questions related to our products and services, feel free to contact your local ADLINK representative or click Ask an Expert. We will contact you shortly upon your request.