TechCrunch: Invisible AI Uses Computer Vision to Help Assembly Line Workers

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Aug 22, 2023
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6 min
One of Invisible’s early partners is Toyota, which has been both an early adopter and skeptic when it comes to AI and automation. Their philosophy, one that has been arrived at after some experimentation, is one of empowering expert workers.
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Toyota Motor North America (TMNA) is partnering with Invisible AI to use artificial intelligence to help it make more intelligent decisions in its factories regarding quality, safety and productivity.‍
The automaker and Austin, Texas-based startup said Wednesday Invisible AI's computer vision platform will be installed in all 14 TMNA manufacturing locations in North America.
The system essentially puts electronic eyes on every corner of the operation with AI technology to analyze any possible issues.
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- Toyota Motor North America (TMNA) is partnering with Invisible AI- Texas-based startup said Wednesday Invisible AI's- The automaker and Austin computer vision platform will be installed- MNA manufacturing locations in North America
Toyota Motor North America (TMNA) is partnering with Invisible AI
The automaker and Austin, Texas-based startup said Wednesday Invisible AI's computer vision platform will be installed in all 14 TMNA manufacturing locations in North America.
The system essentially puts electronic eyes on every corner of the operation with AI technology to analyze any possible issues.
Indeed, Toyota plans to use Invisible AI's system to improve quality, productivity and safety beyond observations by humans or simple security cameras:
“We observe our employees assembling vehicles to identify inefficiencies and bottlenecks in their standardized work,” said Stephen Brennan, Group Vice President, Vehicle Production Engineering & Manufacturing Production Innovation Center in comments emailed to Forbes.com. “Invisible AI systems will help us increase the frequency and accuracy of process reviews as well as reduce the time needed to find inefficiencies across processes, giving us more time to focus on improvement.”
Prateek Sachdeva
Invisible AI co-founder and COOINVISIBLE AI
Texas-based startup said Wednesday Invisible AI's
The Invisible AI system to be installed at TMNA plants uses 500 edge AI devices with a built in NVIDIA, Jetson chipset, 1TB of storage and a high-resolution 3D camera to track all floor activity.
That allows us to do a ton of processing at the camera, on the device in real time, all the time,” explained Danziger. “What we have is an AI computer vision model that’s running and that’s constantly processing all the video that’s coming in. What that means is we can give you real time information, real time insights, we can process that data incredibly efficiently. If you want to see a shift report you can see that almost as soon as shift ends.
That allows us to do a ton of processing:
- Toyota Motor North America (TMNA) is partnering with Invisible AI- Texas-based startup said Wednesday Invisible AI's- The automaker and Austin computer vision platform will be installed- MNA manufacturing locations in North America
Prateek Sachdeva
Invisible AI co-founder and
COOINVISIBLE AI
That allows us to do a ton of processing at the camera, on the device in real time, all the time,” explained Danziger. “What we have is an AI computer vision model that’s running and that’s constantly processing all the video that’s coming in. What that means is we can give you real time information, real time insights, we can process that data incredibly efficiently. If you want to see a shift report you can see that almost as soon as shift ends.
The Invisible AI system to be installed at TMNA plants uses 500 edge AI devices with a built in NVIDIA, Jetson chipset, 1TB of storage and a high-resolution 3D camera to track all floor activity.
The automaker and Austin computer vision platform will be installed
The automaker and Austin, Texas-based startup said Wednesday Invisible AI's computer vision platform will be installed in all 14 TMNA manufacturing locations in North America.
The system essentially puts electronic eyes on every corner of the operation with AI technology to analyze any possible issues.
The system essentially: Puts electronic eyes on every corner of the operation
Stephen Brennan
Vehicle Production Engineering & Production Innovation
That allows us to do a ton of processing at the camera, on the device in real time, all the time,” explained Danziger. “What we have is an AI computer vision model that’s running and that’s constantly processing all the video that’s coming in. What that means is we can give you real time information, real time insights, we can process that data incredibly efficiently. If you want to see a shift report you can see that almost as soon as shift ends.
The Invisible AI system to be installed at TMNA plants uses 500 edge AI devices with a built in NVIDIA, Jetson chipset, 1TB of storage and a high-resolution 3D camera to track all floor activity.
Indeed, Toyota plans to use Invisible AI's system to improve quality, productivity and safety beyond observations by humans or simple security cameras:
“We observe our employees assembling vehicles to identify inefficiencies and bottlenecks in their standardized work,” said Stephen Brennan, Group Vice President, Vehicle Production Engineering & Manufacturing Production Innovation Center in comments emailed to Forbes.com. “Invisible AI systems will help us increase the frequency and accuracy of process reviews as well as reduce the time needed to find inefficiencies across processes, giving us more time to focus on improvement.”
MNA manufacturing locations in North America
The automaker and Austin, Texas-based startup said Wednesday Invisible AI's computer vision platform will be installed in all 14 TMNA manufacturing locations in North America.
The system essentially puts electronic eyes on every corner of the operation with AI technology to analyze any possible issues.
The system essentially: Puts electronic eyes on every corner of the operation
The Invisible AI system to be installed at TMNA plants uses 500 edge AI devices with a built in NVIDIA, Jetson chipset, 1TB of storage and a high-resolution 3D camera to track all floor activity.
That allows us to do a ton of processing at the camera, on the device in real time, all the time,” explained Danziger. “What we have is an AI computer vision model that’s running and that’s constantly processing all the video that’s coming in. What that means is we can give you real time information, real time insights, we can process that data incredibly efficiently. If you want to see a shift report you can see that almost as soon as shift ends.