# Overview

## In this learning path

- [Introduction](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/yolo-on-himax/)
- [Overview](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/yolo-on-himax/overview/)
- [Set up the environment](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/yolo-on-himax/dev-env/)
- [Build the firmware](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/yolo-on-himax/build-firmware/)
- [Flash firmware onto the microcontroller](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/yolo-on-himax/flash-and-run/)
- [Run additional models in the web toolkit](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/yolo-on-himax/web-toolkit/)
- [Next Steps](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/yolo-on-himax/_next-steps/)

## Run a computer vision model on a Himax microcontroller

### [Introduction](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/yolo-on-himax/)
### [Overview](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/yolo-on-himax/overview/)
### [Set up the environment](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/yolo-on-himax/dev-env/)
### [Build the firmware](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/yolo-on-himax/build-firmware/)
### [Flash firmware onto the microcontroller](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/yolo-on-himax/flash-and-run/)
### [Run additional models in the web toolkit](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/yolo-on-himax/web-toolkit/)
### [Next Steps](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/yolo-on-himax/_next-steps/)

## What are the benefits of the Himax WiseEye2 Module?

- The Himax WiseEye2 implements the Arm-based Cortex M55 CPU and Ethos U55 NPU, and is one of the first “off-the-shelf” platforms of its type.
- The Himax WiseEye2 Module is an ultra-low power device that is energy-saving.
- It fully integrates with an existing Open Source AI framework (TFLite).

## What is a You-Only-Look-Once (YOLO) object detection model?

YOLO is a technology used in computer vision for identifying and locating objects in images and videos.  
It is Open Source, fast, and has good detection accuracy.  
To learn more about YOLO, see [Where to Start](https://docs.ultralytics.com/#where-to-start).