This software shortens batch changeover times
Deep learning technology dramatically helps shorten batch changeover times, while also mitigating some of the inherent weaknesses of current line-clearance procedures. Checking production lines for rogue components and documenting the process often takes over an hour. And despite detailed standard operating procedures (SOPs) and checklists, there is always a risk of human errors. A new solution for camera-assisted line clearance offers pharmaceutical manufacturers a helping hand by reducing the time spent on manual inspection and documentation. The solution for assisted line clearance builds on this company’s fully validated GAMP Cat. 4 vision software (photo). Using deep-learning models for object and anomaly detection, it takes operators through a simple three-step process, while logging every action taken along the way. Hall 3.1, Stand E97a — CIM Industrial Systems A/S, Viby, Denmark