The Embedded Vision Summit is the premier conference on practical computer vision and visual AI, covering technologies and techniques for the entire spectrum of applications including consumer, automotive, health and fitness, industrial, retail and more. It attracts a unique audience of more than 1,000 product creators, entrepreneurs and business decision-makers who are creating and using vision technology. The 2022 Embedded Vision Summit will take place as a live, in-person event on May 16-19, 2022 in Santa Clara, California. The Summit is known for high-quality, relevant content, so it’s the ideal venue for sharing your insights and getting the word out about new technologies, techniques, applications, products and practical breakthroughs in computer vision and visual AI.
To maximize audience learning and engagement, Summit sessions will have a variety of formats, including:
Important: Sessions presented by companies that supply building-block technologies (such as processors, software tools, algorithms, sensors, camera modules, data labeling services) require a sponsorship fee if the topic of the session is related to the company’s products (for example, describing the technology underlying the product or a use case of the product). Please contact us for sponsorship details. (If you would like to host a session on a product that has not yet been announced, please contact us to discuss options for limiting the information that we will make public prior to the Summit.
Sessions from companies that supply building-block technologies (such as processors, software tools, algorithms, sensors, camera modules and data labeling services) on topics related to the company’s products. Examples include describing the technology underlying the product or a use case of the product appearing only in the Enabling Technologies track. Note: sponsorship required.
Sessions focused on peer-to-peer technical education at an intermediate or advanced level go in the Technical Insights track. In these sessions, experienced engineers present techniques, trade-offs and case studies useful to vision system and application developers.
Sessions focused on market research, business models, solution-level case studies and high-level technology trends and challenges go in the Business Insights track. These sessions are intended to provide business decision-makers with insights that will help them make important decisions about products, markets and technologies.
Introductory technical tutorials go in the Fundamentals track. These sessions are intended for those who are new to practical computer vision and visual AI—or to some aspects of it. They provide a fast-track technical learning experience delivering practical know-how that attendees can put to work right away.
Anyone with relevant experience, products, use cases or specific AI and vision expertise is welcome to propose a session at the Embedded Vision Summit. Sessions from companies that supply building-block technologies on topics related to the company’s products are available only to Edge AI and Vision Alliance Member companies.
For information about sponsoring a session, a Technology Exhibit or other elements of the Summit, please contact one of our team members below.
The Summit covers a wide range of topics related to practical computer vision and visual AI. We especially welcome sessions on the following topics:
For the Technical Insights, Business Insights and Fundamentals tracks, sessions should present practical insights, data and techniques that attendees can put to use whether or not they use your company’s products. Examples include:
Note: Sessions in the Technical Insights, Business Insights, and Fundamentals tracks may not promote products or services.
For sponsored, product-related sessions (Enabling Technologies track):
Here are some important details about sessions:
Deadline: Although the deadline to submit a proposal has passed, we will consider new proposals until the agenda is full. Space is limited, so submit your presentation now!
For your convenience, below is a list of information needed to propose a session.