Tesla CEO Elon Musk often refers to the automobile factory as “the machine that builds the machine,” but there are plenty of human workers involved in even the most highly automated plants.
They remain a key part of the exceedingly complex process that is automobile assembly but need to operate as efficiently as their mechanical counterparts to keep cars and trucks coming off the line with a combination of quality and speed.
Weeding out issues and making sure everything is running smoothly has traditionally meant sending quality control personnel up and down the lines to get eyes on the action. But now there’s a way to automate that job with better results than ever before.
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The self-contained units are equipped with stereoscopic vision and onboard processing that allows them to be easily set up in a factory without having to tap into the facility’s own networks.
The cameras use stereoscopic vision that can monitor how workers are moving. (Invisible AI)
“Our AI is not just about watching one workstation but about getting that view across the line about where you’re hitting production bottlenecks, where you’re seeing deviations from how the work is supposed to be done and where you’re seeing issues like bad reaches that can cause physical issues for your workers,” Danzinger said.
The cameras don’t need to be programmed with the assembly process. They only have to scan a single, correct cycle, and then the system can determine if anything deviates from it later.
Since they’re self-contained, installing all the cameras can be done in a couple of days between shifts.
“Our system has become the place you can go to help frontline employees understand the work being done,” Danzinger said.
“There are a million things happening. People are sick, bad parts are coming from suppliers, machines are broken down. … To be able to know what’s going on, what’s the most crucial component to fix, how do I meet my numbers? That’s the most important thing.”
Users can use an app to get an overview or check the status at a specific point in the assembly process. (Invisible AI)
Danzinger said details about its other customers and how they are using the system is confidential and that Invisible AI can’t provide details on their behalf.
As far as privacy is concerned, the system doesn’t have facial recognition technology, and it can blur faces captured on video. But the point of it is to offer direct feedback, so it is not an entirely anonymized analytical tool.
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