Presented by
-
Rehan Hameed
CTO, Kinara
-
John Phillipe
AI/ML/CV Partners and Ecosystem Manager, NXP Semiconductors
NXPリファレンスデザイン・ライブラリ
お客様の素早い設計とより早い製品化を実現する、技術情報と専門知識をご紹介します。
Sign in to access this content and additional site features.
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.
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
Additional Resources
Stay In the Loop
Subscribe to our newsletter to stay updated with our latest developments and if you need further assistance, we are here to help.
Subscribe Contact Support