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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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 

Screenshots View All

Screenshots View All

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 

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