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About paint and body car defects

Scratches, scuffs, chips, and dents can be a constant source of worry for any proud car owner, especially if you plan to resell the vehicle. Damage like this has an impact not only on the vehicle's overall aesthetic appeal, but also on its resell value to private and trade buyers. For car rental companies, used car dealers, auto body shops, and OEMs (original equipment manufacturer), monitoring the quality of paint and body defects is critical. People and businesses can be negatively affected by a hasty manual inspection of a vehicle. Consider a situation in which a car rental company fails to notice any specific paint damage when a vehicle is returned. In this case, the business is unable to charge the customer and must bear the costs on its own. What is the solution, on the other hand? So, how do we proceed?

Machine vision, A Creative Solution

Artificial intelligence and machine vision hold the key to solving this challenge. Machine vision and industrial image processing are key technologies utilized largely in OEM manufacturing lines. Real-time, efficient product monitoring is possible with smart cameras or image systems during the production process. The number of pixels, pixel sizes, and pixel shapes are all documented in industrial image processing. This procedure assures that the buyer receives a car of the greatest possible quality, free of defects. Because this automatic defect detection system is expensive and difficult to develop, only large OEMs employ it.

Our Product

The MBFgroup has developed an affordable, easy-to-use, and portable automated vision inspection system that detects color and paint inconsistencies of automotive vehicles, thus providing car rentals, car dealers, and car body shops with a unique solution to objectively inspect the quality of a vehicle at any given point in time. With the founders’ extensive experience, a user-friendly device will be developed, which combines durable hardware and AI-based software. The portable device attaches to a phone or a wearable device, such as smart glass, and uses Machine Vision and Machine Learning algorithms to detect surface defects.

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Features Of PAVInspect

The device developed by MBF is based on MEMS technology. Using machine vision and machine learning algorithms, it is capable of detecting, classifying, and pinpointing different superficial defects on colorful surfaces. The cutting-edge technology, replacing expensive cameras with off-the-shelf smartphones, results in the following advantages:

Our Team

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Mostafa Mojarab

CTO

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Mohamad Bagheri

CEO

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Soheil Farahbakhshian

CFO

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