In manufacturing, traditional efficiency methods and ensuring things are operating well have involved sending quality control workers up and down the lines to keep an eye on things. However, now there is technology to automate this process with superior outcomes.
Elon Musk, CEO of Tesla, frequently refers to the vehicle assembly line as “the machine that builds the machine,” although even the most automated operations still employ many people.
To keep vehicles and trucks rolling off the line with the same level of quality and speed as before, they must continue to perform as efficiently as their mechanical counterparts.
Invisible AI, situated in Palo Alto, was created by experts in the field of autonomous vehicles when they realized that the artificial intelligence-driven machine vision technology they had been developing might be commercialized years before self-driving cars gained widespread popularity.
The organization installed a system of cameras to keep tabs on the production line in real-time and catch any problems as they arise.
These standalone machines may be quickly installed in a manufacturing facility because of their stereoscopic vision and onboard processing, eliminating the need to connect to the factory’s existing networks.
According to Invisible AI CEO Eric Danzinger, AI is not just about watching one workstation but about getting that view across the line regarding where bottlenecks in production are occurring, where workers are deviating from standard operating procedures, and where problems like stormy reaches are causing physical harm to employees.
During assembly, the cameras are not needed to be programmed. They need just scan one valid cycle for the system to be able to detect any subsequent deviations.
Since the cameras are self-contained, installation may be completed in two days between shifts.
“Our system has become the place you can go to help frontline employees understand the work being done,” said Danzinger.
According to Danzinger, Invisible AI cannot speak on behalf of its other customers to provide information regarding their use of the technology.
The device may obscure their faces in recorded video to protect users’ anonymity and does not use facial recognition software. It is not a completely anonymous analysis tool, though, as the purpose is to provide immediate responses.
Most of what we see is encouraging workers to speak out when they notice something is wrong.
