Develop a robust algorithm for automatically detecting and locating road cracks and potholes in video recordings.
Implement a frame-by-frame analysis to ensure accurate detection.
b. Report Generation:

Generate detailed CSV and PDF reports containing information such as:
Location of defects (GPS coordinates).
Size of cracks and potholes.
Severity levels.
Include timestamped data for historical analysis.
c. User Interface:

Create a user-friendly web application accessible through browsers.
Develop Android and iOS applications with seamless integration.
d. User Roles:

Admin Access: Manage user accounts, view reports, and configure system settings.
Public Access: View real-time data, historical reports, and submit maintenance requests.
2. Real-Time Object Detection Application:
a. Object Identification:

Implement AI models to identify and track key road infrastructure elements in real-time, including:
Streetlights.
Traffic signals.
Traffic signs.
Road humps.
b. Report Generation:

Generate CSV and PDF reports with information on:
Object location (GPS coordinates).
Status of infrastructure elements.
Potential maintenance needs.
c. Real-Time Monitoring:

Ensure the system provides continuous real-time monitoring of identified objects.
d. User Interface:

Develop a user-friendly web application with real-time tracking features.
Create Android and iOS applications for on-the-go access.
e. User Roles:

Admin Access: Manage configurations, monitor real-time data, and generate reports.
Public Access: View real-time data and access historical reports.
3. Technical Requirements:
a. Technology Stack:

Choose appropriate programming languages, frameworks, and libraries for optimal performance.
b. Scalability:

Design the system to be scalable to accommodate future enhancements and increased data load.
c. Security:

Implement robust security measures to protect user data and system integrity.
d. Testing:

Conduct thorough testing, including unit testing, integration testing, and user acceptance testing.
e. Documentation:

Provide comprehensive documentation for the system architecture, APIs, and user guides.
4. Timeline and Milestones:
a. Phase 1: Road Crack and Pothole Detection :

Algorithm development and testing.
User interface design.
Report generation implementation.
b. Phase
2: Real-Time Object Detection:

Object identification algorithms development.
Real-time monitoring implementation.
Integration with the road crack and pothole detection application.
c. Phase 3: System Integration and Testing :

Integration of both applications.
Comprehensive testing.
d. Phase
4: Deployment and Maintenance:

Deployment of applications.
Ongoing maintenance and support.
5. Cost Estimate:
Provide a detailed breakdown of the estimated costs for each phase, including development, testing, deployment, and ongoing maintenance.

Budget: $1,300

Posted On: January 25, 2024 10:36 UTC
Category: Mobile App Development
Skills:Python

Country: United Arab Emirates

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