Fast, Low Power Machine Vision with the i.MX 93 Applications Processor

This white paper demonstrates how the NXP i.MX 93 applications processor delivers fast, low power machine vision. Through a real world pose detection case study, it shows how model quantization, NPU optimization, and camera pipeline tuning achieve real time edge AI performance.

What's Inside

• Learn how to achieve fast, low power machine vision at the edge with the i.MX 93 applications processor
• Insights into how hardware diversity impacts performance, cost and developer productivity
• Discover proven techniques to boost AI inference performance without increasing power consumption
• See how NPU acceleration and software optimization enable near real time vision processing
• Gain practical insight from a real world pose detection case study
• Understand how to accelerate development and reduce risk in embedded vision designs