IMUS City TV Inspection Module
Web service for managing and analyzing sewer network TV inspection data. Integration with IMUS City system for automation of control and monitoring processes.
About the Project
IMUS City TV Inspection Module is a specialized web service for managing and analyzing sewer network TV inspection data. The project was developed for TARIS company - a leading Russian manufacturer of pipeline diagnostic equipment.
The system provides a complete cycle of working with TV inspection data: from uploading and processing videos to generating reports and integration with the main IMUS City system.
The main goal of the project is to automate the processes of monitoring and controlling the condition of sewer networks, which significantly increases the efficiency of urban infrastructure maintenance.
Key Features
Core Modules
- Upload and processing of TV inspection videos
- Automatic defect recognition
- Report and documentation generation
- Integration with IMUS City system
- Project and object management
- Inspection data visualization
Technical Features
- RESTful API for integration with external systems
- Support for various video data formats
- Automatic defect classification
- Notification and alert system
- Multi-user access with role model
- Data backup and recovery
Development Process
Requirements Analysis and Design
Study of sewer network TV inspection specifics, analysis of existing company processes, system architecture design and API planning.
Backend Development
API creation, implementation of video data processing business logic, development of defect classification system and reporting modules.
Integration and Testing
Integration with IMUS City system, comprehensive functionality testing, performance optimization and preparation for industrial operation.
Deployment and Support
System deployment on production servers, user training, technical support and improvements based on feedback.
Technologies
Project Statistics
Solved Challenges
Client
Leading Russian manufacturer of pipeline diagnostic and cleaning equipment
Visit WebsiteBusiness Impact
Efficiency +40%
Automation of TV inspection data processing reduced analysis time by 40%
Accuracy 95%
Automatic defect recognition system provides 95% classification accuracy
Reports in 5 minutes
Comprehensive report generation reduced from several hours to 5 minutes
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