Webinar: AI Powered Vision Solutions for Tomorrow’s Enterprises
Rapid advancements in embedded computing and digital technologies like Cloud and Artificial Intelligence have enabled us to create machines that mimic human sensory functions and even respond accordingly.
Vision based solutions play a key role in enabling this transformation. With cameras being as ubiquitous as they are, not only are they inexpensive, millions of “sensors” are already deployed in the field. This allows us to bridge the gap between the physical and digital worlds more seamlessly than perhaps in any other way.
Today, the scope of vision systems spans everything from merely monitoring (behaviour, production, protocols, you name it) to providing actionable customer insights. AI powered vision solutions even extend to autonomous systems for varied applications in Retail, Industry, Transportation and Logistics, Security & Surveillance, Smart Cities, and other sectors.
According to a McKinsey report, AI could add USD 13 Trillion to the global economy and the video analytics market is growing @ a CAGR of 18% to reach USD 11 Billion by 2025 according to Adroit Research.
Companies looking for vision-based solutions ask questions such as:
Trends in Vision Based Solutions
Video Analytics at Edge and at Cloud
Powering Edge Intelligence Through AI
Various Technology Platforms Including NVIDIA, Qualcomm, MS and more
Industry use cases across sectors such as Retail, Transportation, Consumer Electronics and others.
Engineering Vision Based Solutions:
Capture > Stream > Manage > Analytics > Store
Solution Architect for Product Engineering Services at eInfochips – An Arrow company
Gurpreet Singh is the Solution Architect for Product Engineering Services at eInfochips – An Arrow company, where he enables customers on AI/ML at the edge on Jetson platforms. In past various years, he has worked on frameworks, multimedia sub-systems of SOCs and is currently helping customers to design products with Video Analytics from edge to Cloud. Gurpreet has Bachelor of Technology from National Institute of Technology from Jalandhar. He is passionate about Travel and a Yoga enthusiast.
Director of Technical Marketing for Embedded and Autonomous Machines at NVIDIA
Barrie Mullins is the Director of Technical Marketing for Embedded and Autonomous Machines at NVIDIA, where he is focused on enabling customers and the Jetson ecosystem to bring Deep Learning and AI to edge systems. For over 20 years he has been engaged in developing, launching and growing innovative and leading edge embedded products. He started his career as embedded design engineer in Ireland and moved to San Jose in 2007 to extend his influence and impact in the technology space.
Barrie has a MBA from Santa Clara University, a Master in Engineering Management from University College Dublin and a Bachelor of Engineering from Cork Institute of Technology. He spends time with his family, is passionate about the outdoors and an avid runner.
Product managers / engineering leaders / CTOs looking for vision based solutions
Solution and technology architects developing smart solutions