Discussing digital transformation with a brilliant mind in the field of digital transformation recently, I asked: “What emerging technology do you believe will be most transformational in the industrial sector?” His answer: Video.
His focus on video stems from the growth in IT bandwidth and the ability to support video with AI-powered analytics to more effectively discern patterns when data is deployed across IoT networks. AI and the Internet of things (IoT), or the combined AIoT, is deemed critically important to digital transformation initiatives, industry leaders say. Where AI analytics are deployed depends upon the challenge to be addressed.
As an AI-focused executive with a leading firm connected to these converging technologies, the gentleman I was speaking with was fascinated by a demo he saw at a recent trade show. It depicted a factory with thousands of cameras installed, one above each employee workstation. The goal, he said, was “to effectively use a camera to ‘sensorize’ a person [and] figure out if folks are deviating from the agreed processes.”
Businesses of all types — from small machinery suppliers to large manufacturers (like Foxconn) have for decades used cameras and machine vision software for applications such as quality assurance, to recognize patterns and detect and reject off-spec products. It’s really no surprise, but a logical extension of what Henry Ford did in automaking; what W. Edwards Deming did in post-WWII Japan; and what Ray “McDonald’s” Kroc did in fast food.
What may be surprising how real-time video analytics can transcend the mechanistic aspects of how people act to discern how they feel. In video and audio applications, machine learning has already been applied to customer service call centers and doctor-patient telemedicine apps to identify such things as anger and frustration. The data inputs for A/V analytics include voice analysis, facial expressions, movements, and posture. Industrial applications are no doubt coming, if not already here.
The edge of progress
As market demand fuels technical capability, video analytics solutions will continue raining down from longer-term remote cloud applications to people-watching applications based in real-time edge computing networks on or near the production floor. Intel’s Chet Hullum and his team improved semiconductor manufacturing at the edge because addressing cloud latency issues “would be far too expensive,” as I reported for SmartIndustry. (Intel Tweet and LinkedIn post (below) give more background:
With advances in connectivity and pervasive analytics, the eye in the sky really isn’t the limit anymore.
We all need to change…you can help! How will the relationship between human beings and technology evolve? As I covered in “The Robots Are Winning,” research indicates that AI and digital transformation is positively correlated with job losses. How can we fuel human solutions in this new, connected economy? If you have sources with specific insights, please contact me.