{"id":12596,"date":"2024-06-13T08:10:46","date_gmt":"2024-06-13T08:10:46","guid":{"rendered":"https:\/\/autforce.com\/referenz\/feasibility-study-for-the-detection-of-metal-hangers-in-wire-mesh-boxes\/"},"modified":"2026-03-12T08:51:15","modified_gmt":"2026-03-12T07:51:15","slug":"feasibility-study-for-the-detection-of-metal-hangers-in-wire-mesh-boxes","status":"publish","type":"referenz","link":"https:\/\/autforce.com\/en\/referenz\/feasibility-study-for-the-detection-of-metal-hangers-in-wire-mesh-boxes\/","title":{"rendered":"Feasibility study for detecting metal springs in mesh boxes"},"content":{"rendered":"
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Playing it safe: We conducted a feasibility study for our customer on the detection of metal springs in mesh boxes using deep learning.<\/p>\n\n\n\n

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The project<\/h2>\n\n\n\n

The metal springs are emptied into mesh boxes to be hardened in a furnace. If any springs remain stuck in the mesh boxes during emptying, they undergo the hardening process again. This leads to a loss of quality and to additional costs, the aim is to prevent this.<\/p>\n\n\n\n\n\n\n\n

The aim of this feasibility study<\/a> was to test whether the required inspection characteristics can be reliably recognized using industrial image processing<\/a>. In the tests carried out, the metal springs were detected 100% of the time, regardless of their position in the mesh box.<\/p>\n<\/div>\n\n\n\n

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Special requirements<\/h3>\n\n\n\n

Three different types of mesh boxes are used: close-meshed, medium-meshed, and large-meshed. The system must therefore be able to ensure reliable error detection against variable backgrounds. <\/p>\n\n\n\n

Results of the feasibility study: <\/h3>\n\n\n\n