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Next Generation AI 2.0 Video Analytics

  • Room: Virtual
Tuesday,May 24, 2022:11:30 AM -12:30 PM

Speaker(s)

Speaker
Nathan Vank
Sales Manager, Western North America
IronYun, Inc.
Speaker
Paul Sun
President
IronYun, Inc.

Description

Over the past several years, the physical security industry has witnessed the acceptance of AI-deep learning-based video analytics. As the first-generation AI 1.0 video analytics gains acceptance and become widely deployed, the second-generation AI 2.0 is starting to emerge from leading AI video analytics solution providers. In this session, we will outline and describe in detail what is AI 2.0 and what are the challenges facing the AI-video analytics industry and unmet needs. In this session we will discuss: types of AI 1.0 video analytics that have been deployed at scale, key customer pain points that the first-generation AI analytics address, areas of AI 1.0 that are hype versus reality, the key failings or solution gaps of AI 1.0, the businesses model evolving from AI 1.0 to AI 2.0, and the key attributes of the next generation AI 2.0 analytics.


Track(s)


Super Track(s)


Methodology

In the workshop, we will provide 20 minutes of presentation materials. In the presentation we will discuss real-world use cases, the problems solved and ROI (Return-on-Investment) benefits.

Following the 20 minutes presentation, the workshop will include 30 minutes of hands-on exercise of evaluation and setup of a AI 2.0 video analytics lab exercise using attendees laptop, PDA or smartphone.

Learning Objectives

1. Examine the current state-of-the-art AI 1.0 video analytics technology capabilities
2. Use case examples of large-scale AI 1.0 deployment
3. Identify the hype versus reality of AI 1.0 video analytics and the benefits of AI 2.0