How machine learning methods allow for optimization and process reliability
In recent years, machine learning methods based on deep neural network models have made breakthrough strides in the automated perception of data, including the interpretation of images, speech, and text. Machine learning is implemented in various manufacturing processes now, but there is much need for this to continue in the future to automate processes and improve manufacturing. View the five major opportunities with implementing machine learning for advancing manufacturing HERE.
With a risk assessment, you evaluate the inherent risk of the specific application and design a risk reduction strategy commensurate to that level of risk. The goal is to create a custom fit solution that’s appropriate, adequate, and meets the requirements of the demands on the safety system. With mobile platforms being adopted at unprecedented rates, this means we can expect more human interactions with mobile robots in factory and logistics spaces, making safety (and therefore, a risk assessment to determine best safety practices) all the more imperative.
Inspired to make your operations as safe and efficient as possible? Study up on safety here.
