Viusional is a pioneering project aimed at leveraging the power of computer vision and deep learning to develop a sophisticated visual distortion detection system. This system is designed to identify and analyze visual distortions present in images or videos. The project focuses on utilizing advanced algorithms to enhance accuracy in detecting various types of visual distortions.
Viusional proposes a modern approach by incorporating digital image capture through drones, smartphones, or mobile mapping systems mounted on vehicles. By doing so, it aims to reduce human error and improve efficiency in incident monitoring and registration.
The incorporation of artificial intelligence (AI) and deep learning technologies within Viusional further enhances its capabilities. These technologies enable the system to accurately classify incidents based on their type and prioritize them according to urgency. Moreover, the system's ability to provide 24/7 surveillance, flexibility, and accurate data gathering contributes to a more comprehensive understanding of the incident landscape. This, in turn, facilitates better policy decisions and efficient allocation of infrastructure funds and support.
- Enhanced Accuracy
- Increased Efficiency
- 24/7 Surveillance
- Better Resource Allocation
- Flexible Deployment Options
- Secure User Access
- Interactive User Interface
- Automated Visual Distortion Classification
- AI-Based Visual Distortion Detection
User Management
Module
AI Analysis
Module
Classification
Module
Data Management
Module
User Management Module
Manages user roles and access permissions, ensuring secure and controlled entry into the system.
AI Analysis Module
Utilizes advanced deep learning algorithms to process and analyze visual data for distortion detection.
Classification Module
Automatically classifies detected visual distortions based on their type and severity. This module prioritizes incidents to streamline response efforts and helps in generating detailed reports.
Data Management Module
Handles the collection, storage, and organization of visual data and analysis results.