Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
The General NCMR search form is utilized to find NCMRs based on user-defined criteria. This search tool is consistent across all NCMR-related icons, so we will examine the search interface in detail. To access this interface, simply click on the General NCMR Search icon located in the main QCS9000 navigator. Supplier NCMRs are typically generated during the incoming inspection phase and relate to defects in materials sourced from external vendors. In-Process NCMRs arise from defects detected during the manufacturing process or when products are moved between work centers, often identified through quality control inspections. Customer Return NCMRs occur when clients return shipped items due to identified defects or nonconformities. Additionally, terms like RMA (Returned Material Authorizations) and CRM (Customer Return Material) are often associated with these processes. Understanding these categories is crucial for managing quality assurance effectively and ensuring that products meet the required standards before reaching customers.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$995 per month
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/lookout-for-vision/
Vendor Details
Company Name
JK Technologies
Website
www.jkt9000.com
Product Features
Computer Vision
Blob Detection & Analysis
No
Building Tools
No
Image Processing
No
Multiple Image Type Support
No
Reporting / Analytics Integration
No
Smart Camera Integration
No
Product Features
Quality Management
Audit Management
No
Complaint Management
Yes
Compliance Management
Yes
Corrective and Preventive Actions (CAPA)
Yes
Defect Tracking
Yes
Document Control
Yes
Equipment Management
Yes
ISO Standards Management
No
Maintenance Management
No
Risk Management
No
Supplier Quality Control
No
Training Management
No