This paper presents a prototype online system for the visual inspection of steel toecaps. Using this system can not only reduce the labor intensity of workers

but also improve the inspection speed and accuracy. By analyzing the deform characteristics of the steel toecaps

an inspection method was put forward based on 14 important indexes of the 8 main deformation areas. The specific graphics algorithm was focused. The system performance was tested based on the Halcon software

and the influence of motion on measurement

error sources and their eliminating methods was analyzed.Experimental results show that the maximum error of the system is less than 0.2 mm and the missing rate of defective product is 0. The inspection accuracy is much higher than the manual inspection

and the average inspection speed is 213.71 ms

which is faster 3.5 times than manual inspection. The design of the steel toecaps online vision inspection system can meet the demand of industrial production.