Features

Applicability

The company's goal is to produce a portable, easy-to-use device. Using a smartphone camera that catches and records the surface's reflected light patterns, the distortion of light patterns will discover surface flaws on painted surfaces. Using a Supervised Machine Learning method, an image processing system classifies and determines the location of various faults and excess paint on a painted surface. A completely integrated mobile application provides instantaneous feedback to the customer on the image's outcomes.

The company's founders designed the device with the end user's comfort in mind. Currently, the manufactured device prototype is connected to a smartphone. The device's direct point-and-shoot imagery makes it usable by those without prior product knowledge.

Cost effectiveness

Using artificial intelligence technology and a smartphone, the cost of the car's color and scratch detection system is reduced significantly. Because the image is captured with the phone in this device, there is no need for an additional camera.

A smartphone can be attached to the device to eliminate the need for an extra camera, making the product affordable. The technology has reduced the cost of detecting surface quality by thousands of dollars. Comparatively to existing products that provide the same fundamental service, the product will be reasonably priced.

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Increased efficiency

As previously said, the system can detect color, scuffs, and scratches on a vehicle's surface using machine vision and machine learning. The use of these technologies and the processing of captured images with the aid of these technologies are carried out quickly and precisely. This has boosted the productivity of this gadget so that it has the fewest possible errors.

Portability

You need not be concerned with moving this equipment. The Company's product employs a Micro-Electromechanical Systems (MEMS)-based dynamic mesh pattern generator. This method takes advantage of the device's mechanical and electrical components to make it portable and easy to transport.

High accuracy

When picking up and returning a rental car, both the car rental company and the renter manually inspect the vehicle for physical damage. While major problems may be visible, inspectors may overlook smaller defects, leading to subsequent conflicts.

Industrial image processing, sometimes known as "machine vision," is a significant technology for the automobile industry since it can be used to optimize manufacturing, quality control, and logistics, among other operations. The technique inspects surfaces to automatically identify and classify defective products. Speed is a distinctive characteristic of machine vision. Its algorithms identify and interpret picture information in just milliseconds.

This gadget is capable of detecting even small defects on painted surfaces and can be used by the end user to examine the paint finish's quality.

This gadget utilizes projection profilometry (PP) to provide a non-contact operation with high precision and full-field capture.

No Installation Cost

With the MBF company's solution, there are no installation fees because the software for image processing is installed on a smartphone, which is also used for scanning. Unlike existing market options, which necessitate a big footprint and a hefty initial installation cost, this product requires neither.