Empowering Enterprises with Computer VisionPractical AI that automates repetitive tasks, reduces cost, and increases productivity
What We Do
Intrinsics uses AI and advanced deep learning to build enterprise-specific vision systems. Our systems slash costs and mind-numbing work by automating human vision tasks with better accuracy and reliability. The result is enhanced quality, productivity, and safety.
Asphalt Shingle Manufacturing QC
- Early defect detection
- Reduces waste, enhances quality
- Reveals coating color problems
- Eliminates defective product shipment
Tunneling Soil Classification
- Operating in new subway extension digs under Los Angeles
- Automatically classifying 2,000 tons of soil per day
- Enabling automation of soil conditioning
Overseer Product Recognition
- Identify SKU by product appearance
- Surpasses sort by bar-code only
- Self-learns thousands of SKUs
Intrinsics is a team of computer vision experts with decades of experience delivering mission-critical solutions in some of the harshest operating environments around the world.
The team is particularly proud to have supported the United States Navy. Our software runs on every submarine in the American fleet, enhancing digital periscope imagery in real-time to provide crews early threat detection and enhanced situational awareness.
With the launch of our flagship Mantis vehicle recognition software in 2014, Intrinsics began applying computer vision solutions to enhance law enforcement capabilities around the country.
Since then the company has applied our AI vision systems to solve critical challenges in manufacturing, logistics, and civil engineering.
April 6, 2020 06:00 EDT | Intrinsics Inc. Intrinsics Inc, a leading provider of Industry 4.0 vision technologies, is proud to announce the expansion of Heijunka Vision™ Analytics into building materials manufacturing. The expansion builds on an expansive suite of...
Intrinsics Imaging Announces Heijunka Vision™ Analytics for Manufacturing
Intrinsics AI-based Mantis Software™ acquired by PIPS Technology
(Traffic Tech Today)