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In-Trans
System Structure, Spec & Comparison
In-Trans System Structure
The IN-Trans Intelligent Inspection System uses a cloud-edge collaboration model for fast and accurate road inspections. Edge devices mounted on vehicles scan road surfaces in real time, collecting and preprocessing data on cracks, potholes, and other damage. This data is then sent to the cloud, where AI-powered algorithms analyze and classify road conditions. The processed results are displayed on a management platform, providing real-time insights and reports. This system ensures efficient, accurate, and cost-effective road inspections, far outperforming traditional methods.
Main Characteristics
Fast & Efficient
The IN-Trans system installs in just 30 minutes and leverages AI-powered detection to analyze road conditions in real time. It increases damage recognition efficiency by 80%, significantly reducing inspection time compared to traditional methods.
Highly Accurate
With an AI detection accuracy of over 90%, the system matches expert evaluations while minimizing human error. It delivers consistent, high-quality results, ensuring precise road assessments across large-scale networks.
Technical Specifications
Fast
- Quick Installation within 30 minutes
- Intelligent rapid recognition
- Damage analysis recognition efficiency increased by 80%
Intelligent
- Accuracy reaching professional level
- AI detection accuracy above 90%
Lightweight
- Lightweight equipment
- Automated Lightweight data collection
- Easy to use and operate
Comparison with Traditional Inspection
1. Speed & Efficiency
- IN-Trans AI Inspection: Scans 5 km per minute, making it 480 times faster than traditional methods.
- Traditional Method: Requires one full day per 5 km, making inspections slow and labor-intensive
2. Cost Reduction
- IN-Trans AI Inspection: Lowers inspection costs by 80% through automation and AI-driven analysis.
- Traditional Method: Involves high labor and operational costs due to manual data collection and processing.
3. Accuracy & Precision
- IN-Trans AI Inspection: Achieves an accuracy rate above 90%, matching professional-level evaluations.
- Traditional Method: Has an estimated accuracy of around 90%, but is more prone to human error.
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