The Intelligent Road Inspection System
AI videography is used to monitor road conditions, which can replace traditional road patrol to handle various issues on roads.
The processing logic: Special equipment shooting is used to get abnormal information through algorithm identification, upload platform, and manual handling.
Integration of snapshot: It can replace traditional patrol, reduce manpower and material resources, and avoid uncontrollable factors such as absence of mind.
Algorithm Recognition Scenario Application: Road cracks, potholes, all kinds of illegal hanging banners, all kinds of obstacles on the road.
Data Processing: Data are stored and uploaded to the client side for unified management.
Manual Handling: Workers can directly open it, upload information, and handle the information in time through WEB.
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Communication interface |
RS485、RJ45 |
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Operating voltage |
12V |
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Operating Temperature |
-20°--70° |
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Operating humidity |
<90% |
The Golong Intelligent Road Inspection System replaces traditional manual road inspections. Utilizing various vehicle carriers equipped with high-definition, high-speed industrial cameras, the system performs real-time AI image analysis and edge computing. It intelligently captures and identifies road conditions (such as cracks, potholes, obstacles, and irregularly hung banners) and transmits the data to a cloud platform via a 4G network. This allows clients to remotely identify issues and, based on the type of fault and GPS location, manage repairs. This system overcomes the inefficiencies of traditional manual inspections, which can be affected by weather, visibility, and human error, achieving real-time, digital, visual, interactive, and intelligent road damage detection, maintenance, management, and service.
Applicable to Rural Roads, Provincial Roads, National Roads, Urban Roads, Highways etc.
System Features
1.Comprehensive Detection: Detects multiple maintenance targets including transverse cracks, longitudinal cracks, alligator cracking, potholes, and manhole height differences.
2.Support 8-megapixel resolution and simultaneous detection across three lanes.
3.Video Streaming: Real-time road condition videos can be viewed through the backend.
4.Mass Data Storage: Store real-time video recordings with expandable storage capacity.
5.Real-Time Data Transmission: Transmit detection results in real-time.
6.Mobile Access: Support Android remote viewing of real-time vehicle video footage.
7.GPS Real-Time Positioning: Offer positioning frequency of >= 1Hz with a positioning accuracy error of no more than 5 meters.
8.Mileage and Track Playback: Tracks vehicle mileage and provides driving trajectory playback.
9.AI Model Updates: Automatically download and update deep learning models.
10.All-Weather Operation: Operate reliably under various environmental conditions.
11.Flexible Data Transmission: Support TCP/IP network transmission, wireless, or 4G transmission, allowing flexible user choices.
12.Instant Detection on Startup: Begin detection as soon as the vehicle starts without needing parameter configuration.
13.Algorithm Support: Support both frontend and backend algorithms as needed.