This paper proposed a new method of surface defect detection of rolling element based on computer vision, which adopted CCD digital camera as image sensor, and used digital image processing techniques to defect the surface defects of rolling element. The main steps include collect image, use an improved median filter to reduce the noise, increase or decrease the exposure to achieve the image enhancement, create a binary image with threshold method and detect the edge of the image, and use subtraction method for surface defects identification. The experiment indicates that the above methods the advantages of simple, the capability of noise resistance, high speed processing and better real-time.

The system hardware and software architecture of smart camera does not follow a common standard subject to their versatile application field. This paper presents architecture of smart camera in order to making the smart camera unified and applied to typical fields. It provides a hardware and software case to inspect the steel ball quality in the real time. The result shows that the architecture can meet the requirements of smart camera in several application fields.