Emerging Tech Shaping the Future of Food Production

A technician can observe their equipment in real-time and indicate the particular instructions needed to repair it using an augmented reality application

FREMONT, CA: The COVID-19 epidemic ushered in a time of tremendous acceleration in the industrial sector’s digital transformation endeavors. What ordinarily takes years to develop and implement took only a few months. This transition has been aided by technologies that were already available but whose adoption has been accelerated. As a result, flexible manufacturing augmented reality, predictive maintenance, edge computing, and digital thread are more widely adopted in 2021.

Flexible Manufacturing

The rate at which manufacturers respond to market changes is known as flexible manufacturing. It is all about ensuring a smooth transition from demand to delivery. Manufacturers can stay in line with their market by replacing strict operating models with degrees of control and responsiveness they never imagined possible before.

Augmented Reality (AR)

AR is a computer-generated overlay image that allows users to observe and interact with real-world environments. It allows employees to perform better and prevent safety and compliance hazards by giving them convenient online access to the information they need. Since AR technologies are also a part of the Industry 4.0 digital transformation, its adoption in 2021 is on the rise.

As it may be integrated into various processes and sectors, AR provides an infinite number of development views and chances. Manufacturers are using AR in the factory to assist fix problems in real-time. A technician can observe their equipment in real-time and indicate the particular instructions needed to repair it using an AR application. One can even make three-dimensional spatial hints on the screen, so they know exactly which part of the machine to focus on.

Predictive Maintenance

To provide predictive and prescriptive maintenance, advanced machine learning algorithms and predictive analytics software will be developed. Industrial operators will be able to predict maintenance needs and make necessary repairs before outages occur with the help of these new technologies. They will be able to predict how and why a machine is degrading, as well as what steps to take to remedy it. Manufacturers can avoid costly downtime and increase production as a result of this.