C920
Logitech
USB camera - Logitech C920
This application note details building an AI-based object detection pipeline on the i.MX RT700 MCU using the integrated NPU, VGPU, and hardware JPEG decoder.
This document describes the design and implementation of a real-time object detection pipeline on the NXP i.MX RT700 crossover microcontroller. It explains how to leverage the device's heterogeneous architecture, including its dual Cortex-M33 cores, Neural Processing Unit (NPU), Vector Graphics Processing Unit (VGPU), and hardware JPEG decoder (JPEGDEC). The note compares a single-core baseline against a dual-core optimization that offloads image capture and preprocessing to the sense domain (CPU1) while reserving the compute domain (CPU0) for inference. The implementation uses the FastestDet model, quantized to INT8 and optimized via the eIQ Toolkit, to achieve efficient edge AI performance for monitoring tasks.
C920
Logitech
USB camera - Logitech C920
RK055HDMIPI4MA0
Rocktech Displays
RK055HDMIPI4MA0 Display
i.MX RT700
NXP
The i.MX RT700 crossover microcontroller offers a powerful and flexible platform for implementing edge AI applications, including real-time object detection.
| C920 | Logitech | USB camera - Logitech C920 |
| RK055HDMIPI4MA0 | Rocktech Displays | RK055HDMIPI4MA0 Display |
| i.MX RT700 | NXP | The i.MX RT700 crossover microcontroller offers a powerful and flexible platform for implementing edge AI applications, including real-time object detection. |