opencv-object-detection
OpenCV-based object detection toolkit in Java implementing DNN, Haar Cascades, and template matching.
Implement Haar cascades, deep neural networks, and template matching using Java and OpenCV.
This repository provides Java implementations of core computer vision techniques using OpenCV. It suits developers looking to integrate object detection, color tracking, and DNN classification into Java applications.
What it is
The project bundles four distinct examples covering Haar cascade classifiers for face and eye detection, color-based tracking, template matching, and DNN image classification via MobileNetSSD. It serves as a documentation and code reference for Java developers working with OpenCV 3.x.
Who it's for
It suits Java developers and computer vision engineers needing reference code for OpenCV integration. It does not suit production environments requiring ready-to-use microservices or non-Java technology stacks.
Key features
Haar Cascade Detection
Detect faces, eyes, and mouths using traditional cascade classifiers.
Color-Based Tracking
Track and detect objects by processing color differences.
Template Matching
Find areas of an image matching a reference patch.
Deep Learning DNN
Classify images using the OpenCV dnn module with MobileNetSSD.
Up and running in 3 steps
Our honest verdict
What's great
- Includes four distinct computer vision implementation examples in Java
- Covers both classical methods like Haar cascades and modern DNN approaches
- Provides sample code for template matching and color-based tracking
- Open-source code allows direct customization for custom video pipelines
Where it falls short
- Requires manual setup of Java and OpenCV dependencies
- Relies on older OpenCV 3.x standards for several examples
- Documentation is minimal and requires reading source code to fully adapt
Pricing & license
The tool is completely free to use under its MIT license. The only cost is your own time required to configure Java and OpenCV dependencies.
Open remote AI-training roles
873 open remote AI-training roles, updated November 15, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.
Alternatives
Use it, or have us set it up
FAQ
What OpenCV version is required?
The repository specifies OpenCV 3.x for most examples, with the DNN module requiring OpenCV 3.3 or higher.
Can I use this for real-time video processing?
Yes, the examples include camera-based detection routines implemented in Java.
