Our customer is a tier-1 automotive equipment supplier, specialized in metal frames manufacturing (machining, stamping, welding). For tier-1 automotive suppliers, the assembly check of the final products before delivery to their customers is a priority. However, when performed by an operator, such quality control tasks come with several drawbacks: these tasks are unrewarding, visually tiring, and highly error-prone.
Furthermore, conventional machine vision solutions are not able to meet the specific needs of our customer:
ADDI-DATA faced several technical challenges to meet these customer requirements:
A specific Deep Learning model has been trained in order to detect the presence of black
screws, even on dark backgrounds.
ADDI-DATA manufactured a jig to ensure the correct placement of the part before the operator triggers the inspection. The system then generates the printout of a traceability label.
ADDI-DATA designed a solution that meets the different needs, according to the following process:
The complete vision system for automation of metal frame assembly inspection developed by ADDI-DATA consists of:
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