EV Applications
Applications
Powerful image formation for thorough defect detection
Whether you’re finding flaws in matte-black electrode slurry or scratches on a battery surface during final inspection, capturing a clear image is essential for EV battery inspections. Cognex uses robust hardware and software to minimize glare and maximize contrast in the most challenging environments.
Solutions like the Trevista CI Dome reduce inspection times by illuminating a part from multiple angles to get topographical information. Advanced imaging tech like high-dynamic range plus (HDR+), combined with powerful optics, reduces glare, enabling machine vision systems to capture clear images on reflective, curved surfaces.
Separate scrap from suitable parts with AI
In EV manufacturing, the difference between an acceptable blemish and a faulty part can be a few microns. Cognex machine vision systems use AI-powered defect detection and classification tools to separate subtle flaws from tolerable variations. By analyzing annotated “good” and “bad” images, Cognex solutions learn to differentiate between cosmetic and functional flaws, reducing scrap rates while still catching the real errors. Since the technology learns by example, it’s easy to adapt to new variables and types of defects.
True 3D solutions for accurate measurement and gauging
Using advanced 3D imaging technology, Cognex systems can accurately measure critical dimensions and guide parts into place. 3D solutions use high-powered speckle-free lasers to maximize image contrast and quickly scan parts for greater throughput. Using advanced AI and 3D imaging technology, Cognex solutions identify subtle and variable features and measure variances against defined tolerances. With each use, the embedded AI learns and adapts, improving its ability to catch even previously unseen flaws to ensure continuous improvement and operational efficiency.
See Why Leading Brands Choose Cognex
How BorgWarner Improves EV Power Drive Assembly with Cognex Machine Vision Systems
Elevated Quality
Improved EV defect detection to deliver safer, more reliable vehicles
Comprehensive Tracking
Detected flaws throughout the power drive and parking system manufacturing process
Catching the Details
Identified defects in RTV silicone glue, such as holes and bubble
How Wipro PARI Solves EV Manufacturing Challenges with AI
Accelerating Inspections
Accelerated EV battery module inspection speed while accounting for numerous component configurations
Cost Savings with Virtual Cameras
Deployed a cost-effective solution for the end user using EtherInspect to create several virtual cameras
Tracking Complexity
Increased throughput and traceability with vision-guided robotics, vision software, and barcode scanners that verified EV battery module polarity, guided components into place, and tracked parts throughout the process
Ansomat Accelerated EV Battery Pack Assembly
Accelerated Training
Reduced training time for end-users from three months to one week
Dramatic Quality Improvements
Decreased EV battery-related claims from one customer by 90%
Reducing Waste
Lower scrap rates through reduced operator errors at end-user facilities