Revolutionizing South Africa’s Manufacturing with ML and Robotics
The ML and robotics industry in South Africa has gained momentum and could cross the watershed point of an extensive transformation in the manufacturing sector. The future for the industry is in the fusion of technologies that will invariably improve the way businesses operate, with enhanced productivity, efficiency, and sales for those adopting it; hence, a new era in the industrial panorama.
A leap in productivity and efficiency
The use of Mike Yaskawa managing director at South Africa indicates that the application of ML in automated fields such as robotics is a game changer with the manufacturing processes. The new robotics systems will bring a turn-around process, which is different from the former machines that relied on just pre-defined instructions. Humanize.
Traditional approaches such as rule-based systems rely on humans for decision-making whereas this data is learned, and the systems can make autonomous intelligent decisions with the ML infusion. This technique not only extends the desired features of manufacturing processes but also boosts the tendency of augmented system performance and reduced system defects while eliminating the need for “live” manpower 24/7.
Promoting teamwork and safety
As technology advances, it yields much more than just a productive and collaborative workspace, it also makes for a safer office environment. Putting it briefly, cobots, like in the HC series of MOTOMAN robots, for example, obviously embody this change. These robots (cobots) are endowed with ML algorithms of high level and moving alongside humans, they establish safety while enhancing productivity too. Such observance denotes a major transformation in a situation where there is an optimization of the human element and interaction in manufacturing processes.
Serving as the machine learning feature that enables the application of data sensing, camera, and other sources to forecast system failures and maintenance schedules is therefore clear. This possibility of predictive maintenance, besides that it reduces downtime and maintenance costs, reduces also the machinery’s lifespan. Additionally, the suitability of ML offers a possibility to do this on the spot and adjust to the production processes which is essential for keeping the competitiveness of the international market that continually evolves.
A future of innovation and growth
The road from creating the ML for manufacturing largely lies in the future. Crackett identifies three important areas in which the key concerns regarding data quality, digital security, and ethical considerations will have to be addressed. It is important to overcome these problems which provide vast hidden possibilities for Robots working with Machine Learning (ML) in the manufacturing industry.
The synthesis of machine learning and robotics implies a great prospect for the SA manufacturing industry. It is an avenue the industry must explore. As companies down the line begin to appreciate these technologies for automatic productivity, they create avenues for innovation, growth, and many more. While this industrial revolution in manufacturing is about just how we employ new technologies, it stems essentially from introducing a more sustainable, cooperative, and able one in the business.
As South Africa faces a moment in history that could change everything and can be potentially ascribed as the era of transformation, the possibility beyond this point in time for business development and economic growth is gigantic as it can simply be seen as the gate to a new reality of industrial landscape in the country.
Original Story From bizcommunity
Read More
Revolutionizing South Africa’s Manufacturing with ML and Robotics
The ML and robotics industry in South Africa has gained momentum and could cross the watershed point of an extensive transformation in the manufacturing sector. The future for the industry is in the fusion of technologies that will invariably improve the way businesses operate, with enhanced productivity, efficiency, and sales for those adopting it; hence, a new era in the industrial panorama.
A leap in productivity and efficiency
The use of Mike Yaskawa managing director at South Africa indicates that the application of ML in automated fields such as robotics is a game changer with the manufacturing processes. The new robotics systems will bring a turn-around process, which is different from the former machines that relied on just pre-defined instructions. Humanize.
Traditional approaches such as rule-based systems rely on humans for decision-making whereas this data is learned, and the systems can make autonomous intelligent decisions with the ML infusion. This technique not only extends the desired features of manufacturing processes but also boosts the tendency of augmented system performance and reduced system defects while eliminating the need for “live” manpower 24/7.
Promoting teamwork and safety
As technology advances, it yields much more than just a productive and collaborative workspace, it also makes for a safer office environment. Putting it briefly, cobots, like in the HC series of MOTOMAN robots, for example, obviously embody this change. These robots (cobots) are endowed with ML algorithms of high level and moving alongside humans, they establish safety while enhancing productivity too. Such observance denotes a major transformation in a situation where there is an optimization of the human element and interaction in manufacturing processes.
Serving as the machine learning feature that enables the application of data sensing, camera, and other sources to forecast system failures and maintenance schedules is therefore clear. This possibility of predictive maintenance, besides that it reduces downtime and maintenance costs, reduces also the machinery’s lifespan. Additionally, the suitability of ML offers a possibility to do this on the spot and adjust to the production processes which is essential for keeping the competitiveness of the international market that continually evolves.
A future of innovation and growth
The road from creating the ML for manufacturing largely lies in the future. Crackett identifies three important areas in which the key concerns regarding data quality, digital security, and ethical considerations will have to be addressed. It is important to overcome these problems which provide vast hidden possibilities for Robots working with Machine Learning (ML) in the manufacturing industry.
The synthesis of machine learning and robotics implies a great prospect for the SA manufacturing industry. It is an avenue the industry must explore. As companies down the line begin to appreciate these technologies for automatic productivity, they create avenues for innovation, growth, and many more. While this industrial revolution in manufacturing is about just how we employ new technologies, it stems essentially from introducing a more sustainable, cooperative, and able one in the business.
As South Africa faces a moment in history that could change everything and can be potentially ascribed as the era of transformation, the possibility beyond this point in time for business development and economic growth is gigantic as it can simply be seen as the gate to a new reality of industrial landscape in the country.
Original Story From bizcommunity
Read More