AI-based Road Inspection

The end-edge-cloud architecture of smart cameras + vehicle-mounted edge computing + cloud-based AI is targeted at urban management bureaus and road inspection contractors, aiming to replace manual inspections with AI-enabled road inspections, including:

• Road damage inspection: identifying and generating maintenance orders for transverse and longitudinal cracks, chapping, potholes, bumps, height differences caused by missing or damaged manhole covers, missing or damaged traffic markings, etc.
• Inspection of road auxiliary facilities: identifying abnormalities in streetlights, traffic lights, traffic signs, height limit signs, etc. and generating maintenance orders accordingly.
• Road risk identification: promptly identifying and reporting risks such as missing manhole covers, large spills, and flooding, and notifying relevant departments to intervene and handle them in time.
• Road asset inventory: conducting AI-enabled inventory of comprehensive poles, pole-mounted equipment, LED screens, and other assets, and effectively identifying illegal advertisements and unregistered mounted equipment to facilitate timely handling.

Customer Benefits

• Inspection efficiency is increased by 60%, time is shortened by 80%, manual inspection operations are reduced by 60%
• Timely discover potential safety hazards on the road, and for emergencies such as missing manhole covers and large littering, can be detected and handled more quickly, and potential safety hazards can be eliminated in a timely manner
• The equipment can be mounted on public transportation, sanitation vehicles, autonomous vehicles, etc., making full use of social vehicle resources, while detecting road defects, road risks, traffic safety facility malfunctions, road asset inventory, and other scenarios to serve multiple departments. Achieve "unified inspection and distributed execution" and realize the commercial operation of AI digital assets

Applications

• A national internet-of-vehicles pilot zone