• VAIS to be deployed in Hyundai Motor Group consortium’s robotic parking project for a residential complex
• Stop-free automated inspection powered by AI trained on more than 1 million vehicle exterior damage data points
• Automatically captures vehicle exteriors at entry and exit, with AI comparing changes over time

WEFLO, an AI-powered mobility diagnostics company, is supplying its VAIS (Vehicle Automated Inspection System) to a next-generation parking facility where robots park vehicles without human intervention. By automatically recording and verifying vehicle condition in an unmanned parking environment, WEFLO sees the technology as a critical component of future parking infrastructure.

The demonstration project is being carried out by a consortium of Hyundai Motor Company, Hyundai WIA and Hyundai E&C at Hillstate The Wave City in Siheung, Gyeonggi Province. The project has received regulatory approval and government funding through the Ministry of Land, Infrastructure and Transport’s Smart City Regulatory Sandbox. In collaboration with the Hyundai Motor Group consortium, WEFLO will deploy VAIS across a demonstration zone covering approximately 53 parking spaces on the first basement level.

More Than 1 Million Vehicle Exterior Damage Data Points Enable Stop-Free Automated Inspection

​

Technologies that capture vehicle exterior images and identify damage have been tested in various forms. Most existing approaches, however, require an operator to walk around a vehicle taking photos with a smartphone or require the vehicle to stop and wait inside a dedicated inspection booth. Such methods are difficult to scale in environments where hundreds of vehicles enter and exit each day.

WEFLO has built a dataset of more than 1 million vehicle exterior damage data points and used it to advance its Vision AI models, enabling stop-free automated inspection that is completed simply as a vehicle passes through the system.

Drivers do not need to stop the vehicle, open an app or press a button. As they enter and exit the parking facility as usual, the vehicle exterior is automatically captured and analyzed.

VAIS is differentiated not only by its ability to detect damage, but also by its ability to track changes in damage over time. The system recognizes 32 exterior areas, including bumpers, fenders, doors, tires and lamps, and identifies four types of damage: scratches, dents, misalignment and breakage.

It also compares images captured at different times and under different lighting conditions to automatically determine whether damage was pre-existing or newly occurred. Unlike conventional damage detection, VAIS can establish through data when a specific area was still undamaged and when the damage first appeared, providing objective evidence of vehicle condition in unmanned parking environments.

Commercial Technology Already Operating in the Field

​

VAIS is not a technology still in the validation stage. The system is already commercially deployed at automotive maintenance facilities in Pocheon, Yongin and Hwaseong, Gyeonggi Province, where it automates exterior condition checks and recordkeeping during vehicle intake and release. These deployments have demonstrated improvements in operational efficiency.

WEFLO has also recently seen growing inquiries from service providers operating large vehicle fleets.

Building on the residential parking deployment, WEFLO plans to expand VAIS into other areas where vehicle handovers take place, including rental cars, car-sharing services, logistics and vehicle transportation, and insurance claims processing.

“As unmanned environments such as robotic parking and autonomous parking become more widespread, technology that automatically records and verifies vehicle condition will become a prerequisite rather than an option,” said WEFLO CEO Yeejung Kim. “Based on the data we have accumulated and our Vision AI technology, WEFLO will work to establish a new standard for future parking infrastructure.”