12 results found. 1 - 10 of 12 results
Bringing humans and machines even closer with sensors and AI
Sensors and AI can now be used to numerically measure our feelings, including happiness, satisfaction, and motivation. In this section, we introduce some new possibilities made possible through understanding human feelings.
Bringing humans and machines even closer with sensors and AI
VR/AR technology fuses the virtual with the actual, while 5G technology allows for massive amounts of data to be transmitted. Advances continue to be made in both areas. In this section, we introduce some examples of how these technologies are expanding the scope of remote work.
Bringing humans and machines even closer with sensors and AI
Wearable sensors and image recognition technology now make it possible to see exactly how experts work. In this section, we introduce some examples of how expert skills can be passed on to the next generation, and how work can be automated.
Bringing humans and machines even closer with sensors and AI
We can now use sensors and AI to determine a person's state of health or to objectively detect the mood of a situation. In this section, we introduce some examples of how these technologies can be used to improve the quality of our lives and work.
Bringing humans and machines even closer with sensors and AI
Sensors and haptics carry great potential for creating new human-machine interfaces that bring humans and machines even closer together. We discuss why and present some possible scenarios below.
The number of companies, especially startups, involved in femtech is increasing around the world. It is predicted that the size of the femtech market in Japan will reach about 2 trillion yen in 2025.
The bathroom, which is used daily in the home, is effective for fixed-point observation of human behavior data and living conditions. A movement is underway to utilize the bathroom in health management by combining the use of the Internet of Things (IoT) and sensor technology.
Let's take a look at IoT examples in nursing care facilities with a focus on sensor technology. This includes the introduction of IoT equipment that focus on efforts to reduce employee workloads.
The key to smart agriculture is the utilization of robots, AI, IoT, ICT and other advanced technologies. Introducing self-driving tractors, self-navigating drones, yield combine harvesters, harvesting robots, drones and other technologies into agriculture will solve long-standing challenges and secure a workforce of skilled workers while saving on labor and manpower. The goal is to realize a new and advanced form of agriculture in which yield and quality improve, costs decrease, and incomes increases.
In Part 2, we asked the engineers involved in development about what Murata is doing to develop sensors with even higher safety and reliability for self-driving cars.
