Business Challenges

• High maintenance cost and difficulty

  With the increase of highway mileage, road maintenance lacks manpower and funds, with increasing maintenance tasks and difficulties.
• Difficulty in closed-loop maintenance management

  There lacks a unified closed-loop maintenance management platform. Each section carries out maintenance separately, so it is hard to control maintenance quality and check one by one.
• Low intelligence level

  There are a large number of scenarios where information is entered manually. The lack of intelligence leads to low processing efficiency.
• Lack of uniform standards for maintenance

  Most of the maintenance work is based on experience without necessary technical means and IT means. As a result, there are no uniform, scientific standards for road maintenance.

Solution Scenarios

• Based on the independent R&D capabilities of eSurfing Cloud, the solution uses the self-developed edge box to preprocess video data, and the processing results are then uploaded to the scientific maintenance platform for more detailed road hazard analysis. This could realize scientific maintenance and improve the IT level of road maintenance.

Advantages of the Program

• 
  Intelligent inspection
  An edge box may be added to perform video analysis on the terminal side, and images of problems can be sent back in real time. Meanwhile, public transport videos can also be analyzed at the cloud side. The solution enables intelligent inspection and reduces manpower investment.
• 
  Scientific maintenance
  Through the scientific maintenance platform, the solution classifies and diagnoses road hazards found during intelligent inspections uniformly, and then formulates standard inspection and maintenance plans, thereby achieving cross-departmental scientific maintenance.

Schema of the Scenario

Applicable scenarios

The solution collects road video information and performs AI analysis to identify road hazards. Unified analysis plus scientific maintenance platform enables scientific maintenance of roads.

Architecture superiority

Reuse of existing equipment and cost reduction

Road cameras, public transport videos or lightweight edge boxes may be used to reduce costs.

Intelligent Analysis

The solution capitalizes on AI technology to accurately identify various road hazards and formulate scientific maintenance plans by category, hence reducing labor and maintenance input.

Closed-loop management

The information of road maintenance is visible, manageable and traceable, to improve the efficiency of road maintenance.