Detect faces with OpenCV on Android Devices
Introduction
Background
Create a project, add OpenCV, and read camera frames
Face detection
Next Steps
Detect faces with OpenCV on Android Devices
Who is this for?
This is an introductory topic for developers who are interested in creating Computer Vision applications with OpenCV on Android devices.
What will you learn?
Upon completion of this Learning Path, you will be able to:
- Describe how you can use OpenCV for face detection.
- Use OpenCV to retrieve camera frames.
- Use Haar cascade classifier for face detection.
Prerequisites
Before starting, you will need the following:
- A development machine with Android Studio installed.
- An Android smartphone.
- Familiarity with OpenCV, review Create Computer Vision Applications with OpenCV on Android Devices before starting.
Summary
This summary was drafted with an approved AI-assisted workflow and reviewed by Arm contributors before publication. Human technical review remains part of the process so the final page reflects engineering rigor, accuracy, and Arm editorial standards.
You’ll build an Android app that performs face detection with OpenCV and a Haar cascade classifier. First, you’ll configure the project, add OpenCV, retrieve camera frames, and load the pre-trained cascade. Then, you’ll apply the classifier to live input. Finally, you’ll deploy the app to a connected smartphone and exercise the detection pipeline.
Frequently asked questions
These FAQs were drafted with an approved AI-assisted workflow and reviewed by Arm contributors before publication. Human technical review remains part of the process so the final page reflects engineering rigor, accuracy, and Arm editorial standards.
Use the Empty Views Activity template. It matches the structure expected by the instructions and keeps the project minimal.
Your project should sync and build without errors, and OpenCV classes should resolve in the editor. You can confirm runtime availability when the app runs on the device without OpenCV initialization errors.
No. You’ll use OpenCV’s pre‑trained Haar cascade for face detection, so you don’t need to train a model.
Use a Haar cascade XML file provided by OpenCV for face detection. It contains pre‑trained data the classifier loads at runtime.
You should see camera frames retrieved and processed with the Haar cascade classifier. Check for detections according to your app’s processing and display logic.