Auto

The "auto" above refers to "automobile manufacturing industry" in the National Economical Industry Classification.
Key words: automobile; OCR; visual guided; volume measurement; quality inspection

|Background

Automobile manufacturing was the first industry to use assembly line. In terms of quality control, manual operation is still used in some procedures, so it is difficult to guarantee accuracy and efficiency. At the same time in the production and manufacturing, it is often necessary to read the code identification, and to measure the volume of parts.

|Applications

Today, we can use machine vision and deep learning technology to detect and control the quality of auto products.
What we can offer Include but not limited to:
> OCR
> component measurement
> quality inspection
> visual guidance, etc.

OCR

The system consists of industrial camera, light source, lens and core algorithm software. It can visually identify one-dimensional codes, two-dimensional codes, Numbers and other information with an accuracy of up to 99%.

Component measurement

The system consists of industrial camera, light source, lens and core algorithm software. It can measure the length, width, area and volume of various parts.

Quality inspection

The system consists of industrial camera, light source, lens and core algorithm software. It can be applied to the inspection the flaws of automobile parts, such as chrome trim surface, instrument panel pointer, etc.

Visual guide

The machine vision system composed of industrial camera, light source, lens and core algorithm software to provide visual guidance for manipulator. It can be used for high speed and high precision positioning. It could also be used in specific processes, such as spraying, grasping, welding and other processes.

|Other application fields

The technology involved in “auto” can also be used in the filed which have the demand of OCR, component measurement, quality inspection, visual guidance and so on.