Building an Android Application to control Tello Drone and perform real-time object detection using YOLOv5
🥩 Food ingredient object detection / Yolov5를 이용한 식재료 탐지 및 요리추천 앱
Drone Guru app allows users to control the Tello drone through a user-friendly interface and perform real-time object detection using YOLOv5 on the video stream. Its well-designed UI enhances the experience by providing seamless interaction and video display.
🍎 Realtime detection of apple condition / 부사사과 상태 측정 및 병해충 객체 탐지 모델
FishSpeciesDetector is an Android application designed to detect and identify fish species using AI. This app allows users to capture or select an image of a fish and then uses a machine learning model to identify the species.
Detection and classification of Surface Road Damages using an Android device
Green lense is a mobile app to classify garbage using YOLO ML model and simplify waste management
This Aplication is used to scan and find out the type of mat. Floor Mat Detector Android App TFLite Yolov5
no pain with no cane: application to help disabled to stride safely without cane.
A real-time edge AI-powered 4WD autonomous rover integrating SLAM, computer vision (YOLOv5), obstacle-aware path planning (A*/Dijkstra), and Android telemetry control. Runs on Raspberry Pi with Python, C++, and ROS.
My 2nd sem uni project with Ahsan and Umar as team members
Label images for YOLO training. Java 8+ and uses only standard libraries.
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