Textile inspection has traditionally been very labor-intensive and error prone. Because labor costs are very low in most fabric manufacturing locations, any automation must be extremely cost-effective. Team, comprising of members from multiple teams across multiple Geos, developed a computer vision based AI/ML solution using open source tools for textile defect detection during the fabric inspection process. Team successfully integrated the eyes, i.e cameras and open source AI/ML Tools running on high-performance compute device with an old-school manual fabric inspection machine. Results show that the inferencing capabilities offered through hardware and software solutions are effective and affordable even in the commodity fabric manufacturing industry. Hence a reasonably priced system was affordably applied to a much lower cost labor-intensive industry without expensive retooling or excessively high-priced technology. 

This presentation will cover the implementation & integration challenges encountered during design & development of this unique solution. It will also cover the resolution adopted to enable developers to better design and implement IOT, AI/ML & Computer Vision based solutions.