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From Surveillance to Smart Retail and Smart Factory: How Kinara and NXP Can Unleash the Full AI Potential of Video Analytics

From Surveillance to Smart Retail and Smart Factory: How Kinara and NXP Can Unleash the Full AI Potential of Video Analytics

About This Training

High-resolution video cameras can generate valuable data for applications like analysis of shopper behavior, monitoring spaces to detect intrusion, or vision-based quality inspections for industrial automation. Most of these applications must run AI-enabled analytics applications on the source frames. As 60 to 120 video frames are generated per second, these applications run at the edge for low latency.

Equipped with CPUs, GPUs, and neural accelerators, NXP’s i.MX application processors provide a platform to accelerate development and deployment of edge applications. Learn how NXP’s i.MX application processors and Kinara’s Ara-1 can be used to build high-performance, low-power AI applications for smart cameras and edge-AI appliances.

Presentation

From Surveillance to Smart Retail and Smart Factory: How Kinara and NXP Can Unleash the Full AI Potential of Video Analytics

What You Will Learn

Market needs and challenges in running video analytics applications at the edge
An overview of NXP’s i.MX applications processors
An overview of Kinara’s Ara-1 processors
Benefits from the combined power of i.MX and Ara-1 processors

Presented by

Rehan Hameed

CTO, Kinara
John Phillipe

AI/ML/CV Partners and Ecosystem Manager, NXP Semiconductors

时长

38 min

语言

英语

技术级别

初级

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Additional Resources

Processors and Microcontrollers

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