Harbour Shield

Personal Project

• Developed a port surveillance application using machine learning and Android Studio to prevent illegal activities and ensure protocol adherence.
• Implemented ship tracking features utilizing the YOLO (You Only Look Once) deep learning algorithm for accurate object detection.
• Designed and deployed intruder detection functionality using facial recognition algorithms to enhance security measures.

Project Screen shots

Design Flow

User Login and Signup

• Developed user authentication features for secure access to the application. Users can register and log in using their credentials, ensuring personalized and secure access.

Users Dashboard

• Designed an intuitive dashboard for users to monitor port activities. The dashboard displays real-time data on ship tracking and intruder detection, providing a comprehensive overview.

Result

• Implemented efficient machine learning algorithms to deliver accurate detection results. The application successfully identifies and reports unauthorized activities and potential security threats.

Intruders and ships detected and shown on application

• Utilized YOLO and facial recognition algorithms to detect ships and intruders. The application visually displays these detections to users, enhancing security and protocol adherence.

Technologies used

• YOLO (You Only Look Once)
• Android Studio
• Facial Recognition Algorithms
• Firebase
• SQLite