Artificial intelligence (AI) is transforming the way we make things. From long assembly lines, down to a single worker turning a screwdriver, the revolution in AI technology is set to improve manufacturing processes, reduce human error, and boost the quality of the goods produced.
SMI Eye Tracking is integral to this AI revolution. Ahead of the CeBIT 2017 technology show in Hannover Germany, the German Research Center for Artificial Intelligence (DFKI) and Japanese engineering giant Hitachi have announced the joint-development of AI technology for “human activity recognition of workers using wearable devices”. Specifically, this means workers wearing motion sensors in the form of an armband, and SMI Eye Tracking Glasses.
”This technology extracts the data of gaze points from the movements of eyeballs of workers who wear the eye-tracking glasses, and utilizes the image recognition technology by Deep Learning,” DFKI and Hitachi said in a pre-CeBIT announcement.
They say AI, built upon eye tracking data, can recognize the target objects of the glasses-wearer without being distracted by background activity or other objects. The basic human action at the beginning of this learning process could be as simple as a worker – wearing SMI Eye Tracking Glasses – using a screwdriver to turn a screw.
SMI’s Eye Tracking Glasses Product Manager Dr Arnd Rose congratulated both parties on their commitment to this project, noting that DFKI is a long time user – and highly-successful innovator – with SMI Eye Tracking Glasses.
“As workplace interfaces and assembly lines become more complex, the ability to measure the way workers interact with them, and to extract accurate data sets, becomes ever more important,” he said.
“I am pleased that in this collaboration, SMI Eye Tracking Glasses play a central role in developing artificial intelligence technology that will reduce human error, improve output for the companies, and eliminate menial tasks for the benefit of the employees.”
DFKI and Hitachi exhibit part of this technology at CeBIT 2017, March 20-24.