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Description
Effortlessly develop a machine learning (ML) model capable of detecting anomalies in your production line with just 30 images. This technology allows for the identification of visual defects in real time, thereby minimizing and averting product flaws while enhancing overall quality. By leveraging visual inspection data, you can prevent unexpected downtime and lower operational expenses by proactively addressing potential problems. During the fabrication and assembly stages, you can identify issues related to the surface quality, color, and shape of products. Additionally, you can recognize missing components, such as a capacitor that is absent from a printed circuit board, based on their presence, absence, or arrangement. The system can also identify recurring defects, like consistent scratches appearing on the same area of a silicon wafer. Amazon Lookout for Vision serves as a machine learning service that employs computer vision technology to detect manufacturing defects efficiently and at scale. By automating quality inspections through computer vision, you can ensure higher standards in product quality and consistency. This innovative approach not only streamlines the inspection process but also empowers businesses to maintain competitive advantages in their respective markets.
Description
Ansys RaptorH is a sophisticated electromagnetic modeling tool that excels in simulating power grids, entirely custom blocks, spiral inductors, and clock tree structures. It employs high-speed distributed processing to generate precise, silicon-validated S-parameter and RLCk models. One of its standout features is the ability to analyze partial or incomplete layouts during the design process, offering users the flexibility to utilize either the versatile HFSS engine or the specialized RaptorX engine optimized for silicon applications. Additionally, Ansys RaptorH extracts electromagnetic models even at the pre-LVS stage for various routing and layout designs, including solid or perforated planes, circular shapes, spiral inductors, and MiM/MoM capacitors, all while automatically configuring boundary conditions. Its user-friendly graphical interface facilitates point-and-click net selection and enables what-if scenarios for better design insights. Moreover, RaptorH is fully compatible with all leading silicon foundries and supports encrypted technology files, ensuring seamless setup for analyses using either the HFSS or Raptor engines. This comprehensive integration not only streamlines the design workflow but also enhances the accuracy of electromagnetic simulations significantly.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/lookout-for-vision/
Vendor Details
Company Name
Ansys
Founded
1970
Country
United States
Website
www.ansys.com/products/semiconductors/ansys-raptorh
Product Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
Product Features
Electrical Design
CAD Tools
Change Management
Collaboration
Compliance Management
Document Generation
Drag & Drop
Electrical Parts Catalog
Functions / Calculations
One Line Diagram
PLC Tools
Reusable Designs
Symbol Library
PCB Design
3D Visualization
Autorouting
Collaboration Tools
Component Library
Design Rule Check
Differential Pair Routing
Schematic Editor
