INSPIRATION
Modern manufacturing equipment provides companies a multitude of data that includes process and performance parameters. Proper analysis of this data provides insights on production optimization, maintenance scheduling, and asset management. Manual processing of these data is time-consuming, and simple computer software is unable to recognize trends and infer logical conclusions. Here, artificial intelligence (AI) is an evolving technology among the manufacturing trends that solves the problem of analyzing vast amounts of data and getting valuable insights. AI improves many aspects of manufacturing operations like inventory management,supply chain visibility, warehousing cost reduction, asset tracking, forecasting accuracy, transportation cost reduction,and quality management. Another crucial application of AI is predictive maintenance which ensures manufacturing companies operate with minimal or zero unplanned shutdowns.
Zeominds (2018, Hyderabad, India) is an Indian startup that provides new products and services in the area of AI. ZeoAnalyzer is the startup’s AI-based product that enables predictive maintenance of industrial equipment and assets. The software performs stream analytics of machine data from IoT sensors and identifies indications of failure and degradation in performance. The platform uses this information to send reports and alerts to maintenance managers regarding time to failure, regular maintenance of parts, and simultaneously communicate with ERP systems for spare part details. In this way, ZeoAnalyzer helps companies reduce maintenance costs and increase the productivity of machines.
Deevio (2018, Berlin, Germany) is a German startup that focuses on the development of end-of-line quality control solutions applying AI and computer vision technology. AI-Box is an edge computer having an AI-driven inspection workflow to solve visual inspection tasks right on the production line.AI-Box configures the cameras and triggers light and camera to take images that allow for a detailed surface inspection.Then the system executes a deep learning algorithm that labels the image as “Ok” or “Not Ok” using deep neural networks. In contrast to the traditional rule-based inspection,Deevio’s AI undergoes training on previously labeled images.This solution helps automate the visual inspection tasks and
stores valuable information for quality analysis.
