This paper presents a machine vision inspection system to detect deformation of cells in the process of gravure manufacturing, which can provide real-time reporting and detail testing process analysis and find problems and make adjustments to track the production process, more conducive to scientific production management. The formation of cells of gravure machine vision inspection system is able to change analog signal into digital signal of gravure image. We have applied the MATLAB image processing software to read the experiment images and histogram equalization. The edge of cells is extracted by using of Sobel operator and Canny operator. We use different thresholds and experimental sigma values that compare to experimental results. It is found that extraction using the Canny operator is better than Sobel operator. Canny edge extraction operator is best when the value of sigma is 16. According to the image used in this research to determine the standard cells carving the value of gaps d0 equals 125, the value of dark tone s0 equals 394, so its standard value of gaps and dark tone are d0 ± 10 and s0 ± 10. The value of gravure outlets gaps and dark tone are measured, while d and s is in the scope of standard range, which the output 1 of the cells determined to pass and the output 0 deemed to fail. We propose two solutions of cells deformation gravure machine vision inspection system. Through analysis and comparison of performance and economic of the lighting and image sensor, the final implementation of the program is identified.