This is sample code for object detection using OpenCV on android

Real time object detection Android application using OpenCV 4.1 and YOLOv3.

opencv-based object detection on android by using the speed-dreams simulator

Object Motion Tracking based on two black lines Detection for Android Devices. (Android, Arduino, java, c++, openCV). Bluetooth controlled car with camera.

Android implementation of object detection using OpenCV

Android MobileNet object detection example with openCV 4.2 static link library.

Object Detection in image feature using opencv4android sdk

Discover OpenCV and OpenGL 3D through practical android example. One showcases OpenCV object detection to locate objects in images or videos, while the other creates a 3D globe to demonstrate OpenGL programming.

This repo is used to upload opencv complex object detection with latent SVM in android.

Android app for Object Detection using OpenCV in Android Studio.

This is sample code for object detection using OpenCV on android

Android app to quickly test HSV values for object detection using OpenCV

Pedestrian Object Detection System,  Camera-based LEVEL-2 ADAS solution,  Tech stack: Android, OpenCV, OpenGL, Java, Win32 API, Qt Creator

Description: Trained and optimized a YOLOv8 object detection model using TensorFlow and Keras, then exported it to TensorFlow Lite for mobile integration. Developed an Android application to implement real-time object detection. Technologies Used: YOLOv8, TensorFlow, Keras, TensorFlow Lite, OpenCV, Android Studio, Python

Pedestrian Object Detection System (POC for SUZUKI Japan)  Camera-based LEVEL-2 ADAS solution  Tech stack: Android, OpenCV, OpenGL, Java, Win32 API, Qt Creator Systems: Q-Car CAMs, EVS (External View System)

Edge Detector is an Android application that uses OpenCV to detect edges in real time. It captures images or video from the device camera and applies Canny Edge Detection to highlight object boundaries, helping visualize shapes and contours clearly.

OpenCV is an open source computer vision and machine learning software library. It is a BSD-licence product thus free for both business and academic purposes.The Library provides more than 2500 algorithms that include machine learning tools for classification and clustering, image processing and vision algorithm, basic algorithms and drawing functions, GUI and I/O functions for images and videos. Some applications of these algorithms include face detection, object recognition, extracting 3D models, image processing, camera calibration, motion analysis etc. OpenCV is written natively in C/C++. It has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS, and Android. OpenCV was designed for computational efficiency and targeted for real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing.

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Orb Algorithm implementation in android

An android opencv based object detection

OpenCV object detection from trained model in Android

Android App Java/NDK, object detection, OpenCV shared library

Android Robotics Team Project: Object detection and tracking using OpenCV

A real time object detection app demo with OpenCV for Android.

Real-time object detection Android application using OpenCV 4.7.0

USB-GIA Open LARC 2013. Android app for object detection with OpenCV

java Android Real Time Object Detection Using OpenCV and Tensor Flow Lite (Gpu) .

I used #tensorflow Object Detection API use tensorflow Object Detection API with Opencv and RTSP Server app from MIV Dev to perform object detection using Android mobile camera

Android application for object measurement and color detection using aruco marker in OpenCV and flutter

This is a project an Object detection on Mobile Phone. Android Studio with OpenCV was used.